Closed
Description
Prerequisites
Please answer the following questions for yourself before submitting an issue.
- [X ] I am running the latest code. Development is very rapid so there are no tagged versions as of now. 0eb332a + Fix ROCM build by relaxing constness #3895
- [X ] I carefully followed the README.md.
- [ X] I searched using keywords relevant to my issue to make sure that I am creating a new issue that is not already open (or closed).
- [ X] I reviewed the Discussions, and have a new bug or useful enhancement to share.
Expected Behavior
I've had the same issues with the koboldcpp-rocm fork, so I tried llama.cpp if it's better, but the same happens here.
With koboldcpp and clblast, prompt processing takes a few seconds, and I get around 0.8-1 token/s on 70b models.
Current Behavior
I run a small model with llama.cpp-server -m mistral-7b-instruct-v0.1.Q4_0.gguf --n-gpu-layers 15, go to the web UI and type "Tell me a joke". Processing the prompt is pretty much instant, and I get lots of tokens/s as expected.
Then I run a 70b model like llama.cpp-server -m euryale-1.3-l2-70b.Q5_K_M.gguf --n-gpu-layers 15 (with koboldcpp-rocm I tried a few different 70b models and none worked). It loads fine, resources look good, 13403/16247 mb vram used, ram seems good too (trying zram right now, so exact usage isn't very meaningful, but I know it fits into my 64 gb). On the web ui the same prompt "Tell me a joke" is now processing at least several minutes (never waited long enough for it to start generating). CPU usage is high ~1300% the entire time. htop is super slow for some reason.
After a while I get Memory access fault by GPU node-1 (Agent handle: 0x55c2bca3a160) on address 0x7fe03c665000. Reason: Page not present or supervisor privilege. and
amdgpu 0000:0c:00.0: amdgpu: [gfxhub] page fault (src_id:0 ring:24 vmid:8 pasid:32869, for process llama.cpp-serve pid 682675 thread llama.cpp-serve pid 682675)
amdgpu 0000:0c:00.0: amdgpu: in page starting at address 0x00007fe03c660000 from client 0x1b (UTCL2)
amdgpu 0000:0c:00.0: amdgpu: GCVM_L2_PROTECTION_FAULT_STATUS:0x00801A31
amdgpu 0000:0c:00.0: amdgpu: Faulty UTCL2 client ID: SDMA0 (0xd)
amdgpu 0000:0c:00.0: amdgpu: MORE_FAULTS: 0x1
amdgpu 0000:0c:00.0: amdgpu: WALKER_ERROR: 0x0
amdgpu 0000:0c:00.0: amdgpu: PERMISSION_FAULTS: 0x3
amdgpu 0000:0c:00.0: amdgpu: MAPPING_ERROR: 0x0
amdgpu 0000:0c:00.0: amdgpu: RW: 0x0
amdgpu 0000:0c:00.0: amdgpu: [gfxhub] page fault (src_id:0 ring:24 vmid:8 pasid:32869, for process llama.cpp-serve pid 682675 thread llama.cpp-serve pid 682675)
amdgpu 0000:0c:00.0: amdgpu: in page starting at address 0x00007fe03c661000 from client 0x1b (UTCL2)
amdgpu 0000:0c:00.0: amdgpu: GCVM_L2_PROTECTION_FAULT_STATUS:0x00801A31
amdgpu 0000:0c:00.0: amdgpu: Faulty UTCL2 client ID: SDMA0 (0xd)
amdgpu 0000:0c:00.0: amdgpu: MORE_FAULTS: 0x1
amdgpu 0000:0c:00.0: amdgpu: WALKER_ERROR: 0x0
amdgpu 0000:0c:00.0: amdgpu: PERMISSION_FAULTS: 0x3
amdgpu 0000:0c:00.0: amdgpu: MAPPING_ERROR: 0x0
amdgpu 0000:0c:00.0: amdgpu: RW: 0x0
amdgpu 0000:0c:00.0: amdgpu: [gfxhub] page fault (src_id:0 ring:24 vmid:8 pasid:32869, for process llama.cpp-serve pid 682675 thread llama.cpp-serve pid 682675)
amdgpu 0000:0c:00.0: amdgpu: in page starting at address 0x00007fe03c662000 from client 0x1b (UTCL2)
amdgpu 0000:0c:00.0: amdgpu: GCVM_L2_PROTECTION_FAULT_STATUS:0x00801A31
amdgpu 0000:0c:00.0: amdgpu: Faulty UTCL2 client ID: SDMA0 (0xd)
amdgpu 0000:0c:00.0: amdgpu: MORE_FAULTS: 0x1
amdgpu 0000:0c:00.0: amdgpu: WALKER_ERROR: 0x0
amdgpu 0000:0c:00.0: amdgpu: PERMISSION_FAULTS: 0x3
amdgpu 0000:0c:00.0: amdgpu: MAPPING_ERROR: 0x0
amdgpu 0000:0c:00.0: amdgpu: RW: 0x0
amdgpu 0000:0c:00.0: amdgpu: [gfxhub] page fault (src_id:0 ring:24 vmid:8 pasid:32869, for process llama.cpp-serve pid 682675 thread llama.cpp-serve pid 682675)
amdgpu 0000:0c:00.0: amdgpu: in page starting at address 0x00007fe03c663000 from client 0x1b (UTCL2)
amdgpu 0000:0c:00.0: amdgpu: GCVM_L2_PROTECTION_FAULT_STATUS:0x00801A31
amdgpu 0000:0c:00.0: amdgpu: Faulty UTCL2 client ID: SDMA0 (0xd)
amdgpu 0000:0c:00.0: amdgpu: MORE_FAULTS: 0x1
amdgpu 0000:0c:00.0: amdgpu: WALKER_ERROR: 0x0
amdgpu 0000:0c:00.0: amdgpu: PERMISSION_FAULTS: 0x3
amdgpu 0000:0c:00.0: amdgpu: MAPPING_ERROR: 0x0
amdgpu 0000:0c:00.0: amdgpu: RW: 0x0
amdgpu 0000:0c:00.0: amdgpu: [gfxhub] page fault (src_id:0 ring:24 vmid:8 pasid:32869, for process llama.cpp-serve pid 682675 thread llama.cpp-serve pid 682675)
amdgpu 0000:0c:00.0: amdgpu: in page starting at address 0x00007fe03c664000 from client 0x1b (UTCL2)
amdgpu 0000:0c:00.0: amdgpu: GCVM_L2_PROTECTION_FAULT_STATUS:0x00801A31
amdgpu 0000:0c:00.0: amdgpu: Faulty UTCL2 client ID: SDMA0 (0xd)
amdgpu 0000:0c:00.0: amdgpu: MORE_FAULTS: 0x1
amdgpu 0000:0c:00.0: amdgpu: WALKER_ERROR: 0x0
amdgpu 0000:0c:00.0: amdgpu: PERMISSION_FAULTS: 0x3
amdgpu 0000:0c:00.0: amdgpu: MAPPING_ERROR: 0x0
amdgpu 0000:0c:00.0: amdgpu: RW: 0x0
amdgpu 0000:0c:00.0: amdgpu: [gfxhub] page fault (src_id:0 ring:24 vmid:8 pasid:32869, for process llama.cpp-serve pid 682675 thread llama.cpp-serve pid 682675)
amdgpu 0000:0c:00.0: amdgpu: in page starting at address 0x00007fe03c665000 from client 0x1b (UTCL2)
amdgpu 0000:0c:00.0: amdgpu: GCVM_L2_PROTECTION_FAULT_STATUS:0x00801A31
amdgpu 0000:0c:00.0: amdgpu: Faulty UTCL2 client ID: SDMA0 (0xd)
amdgpu 0000:0c:00.0: amdgpu: MORE_FAULTS: 0x1
amdgpu 0000:0c:00.0: amdgpu: WALKER_ERROR: 0x0
amdgpu 0000:0c:00.0: amdgpu: PERMISSION_FAULTS: 0x3
amdgpu 0000:0c:00.0: amdgpu: MAPPING_ERROR: 0x0
amdgpu 0000:0c:00.0: amdgpu: RW: 0x0
amdgpu 0000:0c:00.0: amdgpu: [gfxhub] page fault (src_id:0 ring:24 vmid:8 pasid:32869, for process llama.cpp-serve pid 682675 thread llama.cpp-serve pid 682675)
amdgpu 0000:0c:00.0: amdgpu: in page starting at address 0x00007fe03c666000 from client 0x1b (UTCL2)
amdgpu 0000:0c:00.0: amdgpu: GCVM_L2_PROTECTION_FAULT_STATUS:0x00801A31
amdgpu 0000:0c:00.0: amdgpu: Faulty UTCL2 client ID: SDMA0 (0xd)
amdgpu 0000:0c:00.0: amdgpu: MORE_FAULTS: 0x1
amdgpu 0000:0c:00.0: amdgpu: WALKER_ERROR: 0x0
amdgpu 0000:0c:00.0: amdgpu: PERMISSION_FAULTS: 0x3
amdgpu 0000:0c:00.0: amdgpu: MAPPING_ERROR: 0x0
amdgpu 0000:0c:00.0: amdgpu: RW: 0x0
amdgpu 0000:0c:00.0: amdgpu: [gfxhub] page fault (src_id:0 ring:24 vmid:8 pasid:32869, for process llama.cpp-serve pid 682675 thread llama.cpp-serve pid 682675)
amdgpu 0000:0c:00.0: amdgpu: in page starting at address 0x00007fe03c667000 from client 0x1b (UTCL2)
amdgpu 0000:0c:00.0: amdgpu: GCVM_L2_PROTECTION_FAULT_STATUS:0x00801A31
amdgpu 0000:0c:00.0: amdgpu: Faulty UTCL2 client ID: SDMA0 (0xd)
amdgpu 0000:0c:00.0: amdgpu: MORE_FAULTS: 0x1
amdgpu 0000:0c:00.0: amdgpu: WALKER_ERROR: 0x0
amdgpu 0000:0c:00.0: amdgpu: PERMISSION_FAULTS: 0x3
amdgpu 0000:0c:00.0: amdgpu: MAPPING_ERROR: 0x0
amdgpu 0000:0c:00.0: amdgpu: RW: 0x0
amdgpu 0000:0c:00.0: amdgpu: [gfxhub] page fault (src_id:0 ring:24 vmid:8 pasid:32869, for process llama.cpp-serve pid 682675 thread llama.cpp-serve pid 682675)
amdgpu 0000:0c:00.0: amdgpu: in page starting at address 0x00007fe03c668000 from client 0x1b (UTCL2)
amdgpu 0000:0c:00.0: amdgpu: GCVM_L2_PROTECTION_FAULT_STATUS:0x00801A31
amdgpu 0000:0c:00.0: amdgpu: Faulty UTCL2 client ID: SDMA0 (0xd)
amdgpu 0000:0c:00.0: amdgpu: MORE_FAULTS: 0x1
amdgpu 0000:0c:00.0: amdgpu: WALKER_ERROR: 0x0
amdgpu 0000:0c:00.0: amdgpu: PERMISSION_FAULTS: 0x3
amdgpu 0000:0c:00.0: amdgpu: MAPPING_ERROR: 0x0
amdgpu 0000:0c:00.0: amdgpu: RW: 0x0
amdgpu 0000:0c:00.0: amdgpu: [gfxhub] page fault (src_id:0 ring:24 vmid:8 pasid:32869, for process llama.cpp-serve pid 682675 thread llama.cpp-serve pid 682675)
amdgpu 0000:0c:00.0: amdgpu: in page starting at address 0x00007fe03c669000 from client 0x1b (UTCL2)
amdgpu 0000:0c:00.0: amdgpu: GCVM_L2_PROTECTION_FAULT_STATUS:0x00801A31
amdgpu 0000:0c:00.0: amdgpu: Faulty UTCL2 client ID: SDMA0 (0xd)
amdgpu 0000:0c:00.0: amdgpu: MORE_FAULTS: 0x1
amdgpu 0000:0c:00.0: amdgpu: WALKER_ERROR: 0x0
amdgpu 0000:0c:00.0: amdgpu: PERMISSION_FAULTS: 0x3
amdgpu 0000:0c:00.0: amdgpu: MAPPING_ERROR: 0x0
amdgpu 0000:0c:00.0: amdgpu: RW: 0x0
Environment and Context
Please provide detailed information about your computer setup. This is important in case the issue is not reproducible except for under certain specific conditions.
- Physical (or virtual) hardware you are using, e.g. for Linux:
$ lscpu
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 43 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 32
On-line CPU(s) list: 0-31
Vendor ID: AuthenticAMD
Model name: AMD Ryzen 9 3950X 16-Core Processor
CPU family: 23
Model: 113
Thread(s) per core: 2
Core(s) per socket: 16
Socket(s): 1
Stepping: 0
Frequency boost: enabled
CPU(s) scaling MHz: 53%
CPU max MHz: 4761.2300
CPU min MHz: 2200.0000
BogoMIPS: 7002.47
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_lega
cy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 hw_pstate ssbd mba ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 cqm rdt_a rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local clzero irperf xsaveerptr rd
pru wbnoinvd arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif v_spec_ctrl umip rdpid overflow_recov succor smca sev sev_es
Virtualization features:
Virtualization: AMD-V
Caches (sum of all):
L1d: 512 KiB (16 instances)
L1i: 512 KiB (16 instances)
L2: 8 MiB (16 instances)
L3: 64 MiB (4 instances)
NUMA:
NUMA node(s): 1
NUMA node0 CPU(s): 0-31
Vulnerabilities:
Gather data sampling: Not affected
Itlb multihit: Not affected
L1tf: Not affected
Mds: Not affected
Meltdown: Not affected
Mmio stale data: Not affected
Retbleed: Mitigation; untrained return thunk; SMT enabled with STIBP protection
Spec rstack overflow: Mitigation; safe RET
Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl
Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Spectre v2: Mitigation; Retpolines, IBPB conditional, STIBP always-on, RSB filling, PBRSB-eIBRS Not affected
Srbds: Not affected
Tsx async abort: Not affected
- Operating System, e.g. for Linux:
$ uname -a
6.5.9-arch2-1
Archlinux with rocm-core 5.6.1
Radeon 6900 XT
ggml_init_cublas: GGML_CUDA_FORCE_MMQ: no
ggml_init_cublas: CUDA_USE_TENSOR_CORES: yes
ggml_init_cublas: found 1 ROCm devices:
Device 0: AMD Radeon RX 6900 XT, compute capability 10.3
{"timestamp":1698890628,"level":"INFO","function":"main","line":2268,"message":"build info","build":1464,"commit":"0eb332a1"}
{"timestamp":1698890628,"level":"INFO","function":"main","line":2275,"message":"system info","n_threads":16,"n_threads_batch":-1,"total_threads":32,"system_info":"AVX = 1 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | "}
llama_model_loader: loaded meta data with 20 key-value pairs and 723 tensors from /mnt/ssd4tb/haagch/euryale-1.3-l2-70b.Q5_K_M.gguf (version GGUF V2)
llama_model_loader: - tensor 0: token_embd.weight q5_K [ 8192, 32000, 1, 1 ]
llama_model_loader: - tensor 1: blk.0.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 2: blk.0.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 3: blk.0.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 4: blk.0.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 5: blk.0.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 6: blk.0.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 7: blk.0.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 8: blk.0.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 9: blk.0.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 10: blk.1.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 11: blk.1.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 12: blk.1.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 13: blk.1.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 14: blk.1.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 15: blk.1.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 16: blk.1.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 17: blk.1.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 18: blk.1.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 19: blk.2.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 20: blk.2.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 21: blk.2.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 22: blk.2.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 23: blk.2.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 24: blk.2.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 25: blk.2.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 26: blk.2.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 27: blk.2.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 28: blk.3.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 29: blk.3.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 30: blk.3.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 31: blk.3.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 32: blk.3.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 33: blk.3.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 34: blk.3.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 35: blk.3.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 36: blk.3.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 37: blk.4.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 38: blk.4.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 39: blk.4.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 40: blk.4.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 41: blk.4.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 42: blk.4.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 43: blk.4.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 44: blk.4.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 45: blk.4.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 46: blk.5.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 47: blk.5.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 48: blk.5.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 49: blk.5.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 50: blk.5.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 51: blk.5.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 52: blk.5.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 53: blk.5.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 54: blk.5.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 55: blk.6.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 56: blk.6.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 57: blk.6.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 58: blk.6.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 59: blk.6.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 60: blk.6.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 61: blk.6.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 62: blk.6.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 63: blk.6.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 64: blk.7.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 65: blk.7.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 66: blk.7.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 67: blk.7.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 68: blk.7.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 69: blk.7.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 70: blk.7.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 71: blk.7.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 72: blk.7.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 73: blk.8.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 74: blk.8.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 75: blk.8.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 76: blk.8.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 77: blk.8.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 78: blk.8.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 79: blk.8.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 80: blk.8.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 81: blk.8.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 82: blk.9.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 83: blk.9.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 84: blk.9.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 85: blk.9.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 86: blk.9.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 87: blk.9.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 88: blk.9.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 89: blk.9.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 90: blk.9.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 91: blk.10.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 92: blk.10.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 93: blk.10.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 94: blk.10.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 95: blk.10.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 96: blk.10.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 97: blk.10.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 98: blk.10.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 99: blk.10.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 100: blk.11.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 101: blk.11.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 102: blk.11.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 103: blk.11.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 104: blk.11.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 105: blk.11.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 106: blk.11.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 107: blk.11.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 108: blk.11.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 109: blk.12.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 110: blk.12.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 111: blk.12.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 112: blk.12.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 113: blk.12.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 114: blk.12.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 115: blk.12.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 116: blk.12.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 117: blk.12.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 118: blk.13.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 119: blk.13.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 120: blk.13.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 121: blk.13.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 122: blk.13.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 123: blk.13.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 124: blk.13.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 125: blk.13.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 126: blk.13.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 127: blk.14.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 128: blk.14.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 129: blk.14.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 130: blk.14.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 131: blk.14.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 132: blk.14.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 133: blk.14.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 134: blk.14.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 135: blk.14.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 136: blk.15.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 137: blk.15.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 138: blk.15.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 139: blk.15.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 140: blk.15.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 141: blk.15.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 142: blk.15.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 143: blk.15.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 144: blk.15.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 145: blk.16.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 146: blk.16.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 147: blk.16.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 148: blk.16.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 149: blk.16.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 150: blk.16.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 151: blk.16.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 152: blk.16.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 153: blk.16.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 154: blk.17.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 155: blk.17.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 156: blk.17.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 157: blk.17.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 158: blk.17.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 159: blk.17.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 160: blk.17.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 161: blk.17.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 162: blk.17.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 163: blk.18.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 164: blk.18.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 165: blk.18.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 166: blk.18.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 167: blk.18.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 168: blk.18.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 169: blk.18.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 170: blk.18.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 171: blk.18.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 172: blk.19.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 173: blk.19.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 174: blk.19.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 175: blk.19.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 176: blk.19.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 177: blk.19.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 178: blk.19.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 179: blk.19.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 180: blk.19.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 181: blk.20.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 182: blk.20.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 183: blk.20.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 184: blk.20.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 185: blk.20.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 186: blk.20.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 187: blk.20.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 188: blk.20.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 189: blk.20.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 190: blk.21.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 191: blk.21.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 192: blk.21.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 193: blk.21.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 194: blk.21.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 195: blk.21.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 196: blk.21.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 197: blk.21.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 198: blk.21.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 199: blk.22.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 200: blk.22.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 201: blk.22.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 202: blk.22.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 203: blk.22.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 204: blk.22.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 205: blk.22.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 206: blk.22.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 207: blk.22.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 208: blk.23.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 209: blk.23.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 210: blk.23.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 211: blk.23.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 212: blk.23.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 213: blk.23.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 214: blk.23.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 215: blk.23.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 216: blk.23.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 217: blk.24.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 218: blk.24.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 219: blk.24.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 220: blk.24.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 221: blk.24.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 222: blk.24.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 223: blk.24.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 224: blk.24.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 225: blk.24.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 226: blk.25.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 227: blk.25.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 228: blk.25.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 229: blk.25.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 230: blk.25.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 231: blk.25.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 232: blk.25.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 233: blk.25.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 234: blk.25.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 235: blk.26.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 236: blk.26.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 237: blk.26.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 238: blk.26.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 239: blk.26.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 240: blk.26.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 241: blk.26.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 242: blk.26.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 243: blk.26.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 244: blk.27.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 245: blk.27.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 246: blk.27.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 247: blk.27.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 248: blk.27.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 249: blk.27.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 250: blk.27.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 251: blk.27.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 252: blk.27.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 253: blk.28.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 254: blk.28.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 255: blk.28.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 256: blk.28.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 257: blk.28.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 258: blk.28.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 259: blk.28.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 260: blk.28.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 261: blk.28.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 262: blk.29.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 263: blk.29.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 264: blk.29.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 265: blk.29.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 266: blk.29.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 267: blk.29.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 268: blk.29.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 269: blk.29.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 270: blk.29.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 271: blk.30.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 272: blk.30.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 273: blk.30.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 274: blk.30.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 275: blk.30.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 276: blk.30.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 277: blk.30.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 278: blk.30.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 279: blk.30.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 280: blk.31.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 281: blk.31.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 282: blk.31.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 283: blk.31.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 284: blk.31.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 285: blk.31.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 286: blk.31.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 287: blk.31.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 288: blk.31.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 289: blk.32.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 290: blk.32.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 291: blk.32.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 292: blk.32.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 293: blk.32.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 294: blk.32.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 295: blk.32.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 296: blk.32.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 297: blk.32.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 298: blk.33.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 299: blk.33.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 300: blk.33.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 301: blk.33.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 302: blk.33.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 303: blk.33.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 304: blk.33.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 305: blk.33.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 306: blk.33.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 307: blk.34.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 308: blk.34.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 309: blk.34.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 310: blk.34.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 311: blk.34.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 312: blk.34.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 313: blk.34.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 314: blk.34.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 315: blk.34.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 316: blk.35.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 317: blk.35.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 318: blk.35.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 319: blk.35.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 320: blk.35.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 321: blk.35.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 322: blk.35.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 323: blk.35.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 324: blk.35.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 325: blk.36.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 326: blk.36.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 327: blk.36.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 328: blk.36.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 329: blk.36.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 330: blk.36.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 331: blk.36.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 332: blk.36.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 333: blk.36.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 334: blk.37.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 335: blk.37.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 336: blk.37.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 337: blk.37.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 338: blk.37.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 339: blk.37.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 340: blk.37.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 341: blk.37.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 342: blk.37.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 343: blk.38.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 344: blk.38.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 345: blk.38.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 346: blk.38.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 347: blk.38.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 348: blk.38.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 349: blk.38.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 350: blk.38.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 351: blk.38.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 352: blk.39.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 353: blk.39.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 354: blk.39.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 355: blk.39.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 356: blk.39.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 357: blk.39.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 358: blk.39.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 359: blk.39.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 360: blk.39.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 361: blk.40.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 362: blk.40.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 363: blk.40.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 364: blk.40.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 365: blk.40.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 366: blk.40.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 367: blk.40.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 368: blk.40.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 369: blk.40.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 370: blk.41.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 371: blk.41.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 372: blk.41.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 373: blk.41.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 374: blk.41.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 375: blk.41.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 376: blk.41.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 377: blk.41.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 378: blk.41.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 379: blk.42.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 380: blk.42.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 381: blk.42.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 382: blk.42.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 383: blk.42.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 384: blk.42.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 385: blk.42.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 386: blk.42.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 387: blk.42.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 388: blk.43.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 389: blk.43.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 390: blk.43.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 391: blk.43.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 392: blk.43.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 393: blk.43.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 394: blk.43.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 395: blk.43.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 396: blk.43.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 397: blk.44.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 398: blk.44.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 399: blk.44.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 400: blk.44.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 401: blk.44.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 402: blk.44.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 403: blk.44.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 404: blk.44.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 405: blk.44.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 406: blk.45.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 407: blk.45.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 408: blk.45.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 409: blk.45.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 410: blk.45.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 411: blk.45.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 412: blk.45.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 413: blk.45.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 414: blk.45.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 415: blk.46.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 416: blk.46.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 417: blk.46.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 418: blk.46.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 419: blk.46.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 420: blk.46.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 421: blk.46.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 422: blk.46.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 423: blk.46.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 424: blk.47.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 425: blk.47.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 426: blk.47.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 427: blk.47.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 428: blk.47.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 429: blk.47.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 430: blk.47.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 431: blk.47.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 432: blk.47.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 433: blk.48.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 434: blk.48.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 435: blk.48.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 436: blk.48.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 437: blk.48.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 438: blk.48.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 439: blk.48.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 440: blk.48.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 441: blk.48.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 442: blk.49.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 443: blk.49.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 444: blk.49.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 445: blk.49.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 446: blk.49.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 447: blk.49.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 448: blk.49.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 449: blk.49.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 450: blk.49.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 451: blk.50.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 452: blk.50.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 453: blk.50.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 454: blk.50.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 455: blk.50.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 456: blk.50.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 457: blk.50.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 458: blk.50.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 459: blk.50.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 460: blk.51.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 461: blk.51.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 462: blk.51.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 463: blk.51.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 464: blk.51.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 465: blk.51.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 466: blk.51.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 467: blk.51.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 468: blk.51.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 469: blk.52.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 470: blk.52.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 471: blk.52.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 472: blk.52.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 473: blk.52.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 474: blk.52.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 475: blk.52.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 476: blk.52.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 477: blk.52.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 478: blk.53.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 479: blk.53.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 480: blk.53.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 481: blk.53.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 482: blk.53.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 483: blk.53.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 484: blk.53.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 485: blk.53.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 486: blk.53.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 487: blk.54.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 488: blk.54.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 489: blk.54.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 490: blk.54.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 491: blk.54.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 492: blk.54.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 493: blk.54.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 494: blk.54.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 495: blk.54.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 496: blk.55.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 497: blk.55.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 498: blk.55.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 499: blk.55.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 500: blk.55.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 501: blk.55.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 502: blk.55.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 503: blk.55.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 504: blk.55.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 505: blk.56.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 506: blk.56.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 507: blk.56.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 508: blk.56.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 509: blk.56.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 510: blk.56.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 511: blk.56.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 512: blk.56.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 513: blk.56.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 514: blk.57.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 515: blk.57.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 516: blk.57.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 517: blk.57.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 518: blk.57.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 519: blk.57.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 520: blk.57.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 521: blk.57.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 522: blk.57.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 523: blk.58.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 524: blk.58.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 525: blk.58.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 526: blk.58.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 527: blk.58.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 528: blk.58.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 529: blk.58.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 530: blk.58.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 531: blk.58.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 532: blk.59.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 533: blk.59.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 534: blk.59.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 535: blk.59.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 536: blk.59.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 537: blk.59.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 538: blk.59.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 539: blk.59.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 540: blk.59.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 541: blk.60.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 542: blk.60.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 543: blk.60.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 544: blk.60.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 545: blk.60.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 546: blk.60.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 547: blk.60.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 548: blk.60.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 549: blk.60.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 550: blk.61.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 551: blk.61.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 552: blk.61.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 553: blk.61.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 554: blk.61.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 555: blk.61.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 556: blk.61.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 557: blk.61.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 558: blk.61.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 559: blk.62.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 560: blk.62.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 561: blk.62.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 562: blk.62.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 563: blk.62.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 564: blk.62.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 565: blk.62.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 566: blk.62.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 567: blk.62.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 568: blk.63.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 569: blk.63.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 570: blk.63.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 571: blk.63.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 572: blk.63.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 573: blk.63.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 574: blk.63.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 575: blk.63.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 576: blk.63.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 577: blk.64.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 578: blk.64.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 579: blk.64.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 580: blk.64.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 581: blk.64.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 582: blk.64.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 583: blk.64.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 584: blk.64.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 585: blk.64.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 586: blk.65.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 587: blk.65.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 588: blk.65.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 589: blk.65.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 590: blk.65.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 591: blk.65.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 592: blk.65.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 593: blk.65.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 594: blk.65.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 595: blk.66.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 596: blk.66.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 597: blk.66.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 598: blk.66.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 599: blk.66.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 600: blk.66.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 601: blk.66.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 602: blk.66.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 603: blk.66.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 604: blk.67.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 605: blk.67.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 606: blk.67.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 607: blk.67.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 608: blk.67.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 609: blk.67.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 610: blk.67.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 611: blk.67.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 612: blk.67.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 613: blk.68.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 614: blk.68.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 615: blk.68.attn_v.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 616: blk.68.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 617: blk.68.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 618: blk.68.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 619: blk.68.ffn_down.weight q5_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 620: blk.68.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 621: blk.68.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 622: blk.69.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 623: blk.69.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 624: blk.69.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 625: blk.69.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 626: blk.69.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 627: blk.69.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 628: blk.69.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 629: blk.69.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 630: blk.69.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 631: blk.70.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 632: blk.70.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 633: blk.70.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 634: blk.70.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 635: blk.70.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 636: blk.70.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 637: blk.70.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 638: blk.70.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 639: blk.70.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 640: blk.71.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 641: blk.71.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 642: blk.71.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 643: blk.71.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 644: blk.71.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 645: blk.71.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 646: blk.71.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 647: blk.71.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 648: blk.71.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 649: blk.72.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 650: blk.72.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 651: blk.72.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 652: blk.72.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 653: blk.72.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 654: blk.72.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 655: blk.72.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 656: blk.72.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 657: blk.72.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 658: blk.73.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 659: blk.73.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 660: blk.73.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 661: blk.73.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 662: blk.73.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 663: blk.73.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 664: blk.73.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 665: blk.73.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 666: blk.73.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 667: blk.74.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 668: blk.74.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 669: blk.74.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 670: blk.74.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 671: blk.74.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 672: blk.74.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 673: blk.74.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 674: blk.74.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 675: blk.74.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 676: blk.75.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 677: blk.75.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 678: blk.75.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 679: blk.75.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 680: blk.75.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 681: blk.75.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 682: blk.75.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 683: blk.75.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 684: blk.75.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 685: blk.76.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 686: blk.76.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 687: blk.76.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 688: blk.76.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 689: blk.76.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 690: blk.76.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 691: blk.76.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 692: blk.76.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 693: blk.76.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 694: blk.77.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 695: blk.77.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 696: blk.77.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 697: blk.77.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 698: blk.77.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 699: blk.77.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 700: blk.77.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 701: blk.77.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 702: blk.77.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 703: blk.78.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 704: blk.78.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 705: blk.78.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 706: blk.78.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 707: blk.78.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 708: blk.78.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 709: blk.78.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 710: blk.78.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 711: blk.78.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 712: blk.79.attn_q.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 713: blk.79.attn_k.weight q5_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 714: blk.79.attn_v.weight q6_K [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 715: blk.79.attn_output.weight q5_K [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 716: blk.79.ffn_gate.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 717: blk.79.ffn_up.weight q5_K [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 718: blk.79.ffn_down.weight q6_K [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 719: blk.79.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 720: blk.79.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 721: output_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 722: output.weight q6_K [ 8192, 32000, 1, 1 ]
llama_model_loader: - kv 0: general.architecture str
llama_model_loader: - kv 1: general.name str
llama_model_loader: - kv 2: llama.context_length u32
llama_model_loader: - kv 3: llama.embedding_length u32
llama_model_loader: - kv 4: llama.block_count u32
llama_model_loader: - kv 5: llama.feed_forward_length u32
llama_model_loader: - kv 6: llama.rope.dimension_count u32
llama_model_loader: - kv 7: llama.attention.head_count u32
llama_model_loader: - kv 8: llama.attention.head_count_kv u32
llama_model_loader: - kv 9: llama.attention.layer_norm_rms_epsilon f32
llama_model_loader: - kv 10: llama.rope.freq_base f32
llama_model_loader: - kv 11: general.file_type u32
llama_model_loader: - kv 12: tokenizer.ggml.model str
llama_model_loader: - kv 13: tokenizer.ggml.tokens arr
llama_model_loader: - kv 14: tokenizer.ggml.scores arr
llama_model_loader: - kv 15: tokenizer.ggml.token_type arr
llama_model_loader: - kv 16: tokenizer.ggml.bos_token_id u32
llama_model_loader: - kv 17: tokenizer.ggml.eos_token_id u32
llama_model_loader: - kv 18: tokenizer.ggml.unknown_token_id u32
llama_model_loader: - kv 19: general.quantization_version u32
llama_model_loader: - type f32: 161 tensors
llama_model_loader: - type q5_K: 481 tensors
llama_model_loader: - type q6_K: 81 tensors
llm_load_vocab: special tokens definition check successful ( 259/32000 ).
llm_load_print_meta: format = GGUF V2
llm_load_print_meta: arch = llama
llm_load_print_meta: vocab type = SPM
llm_load_print_meta: n_vocab = 32000
llm_load_print_meta: n_merges = 0
llm_load_print_meta: n_ctx_train = 4096
llm_load_print_meta: n_embd = 8192
llm_load_print_meta: n_head = 64
llm_load_print_meta: n_head_kv = 8
llm_load_print_meta: n_layer = 80
llm_load_print_meta: n_rot = 128
llm_load_print_meta: n_gqa = 8
llm_load_print_meta: f_norm_eps = 0.0e+00
llm_load_print_meta: f_norm_rms_eps = 1.0e-05
llm_load_print_meta: f_clamp_kqv = 0.0e+00
llm_load_print_meta: f_max_alibi_bias = 0.0e+00
llm_load_print_meta: n_ff = 28672
llm_load_print_meta: rope scaling = linear
llm_load_print_meta: freq_base_train = 10000.0
llm_load_print_meta: freq_scale_train = 1
llm_load_print_meta: n_yarn_orig_ctx = 4096
llm_load_print_meta: rope_finetuned = unknown
llm_load_print_meta: model type = 70B
llm_load_print_meta: model ftype = mostly Q5_K - Medium
llm_load_print_meta: model params = 68.98 B
llm_load_print_meta: model size = 45.40 GiB (5.65 BPW)
llm_load_print_meta: general.name = LLaMA v2
llm_load_print_meta: BOS token = 1 '<s>'
llm_load_print_meta: EOS token = 2 '</s>'
llm_load_print_meta: UNK token = 0 '<unk>'
llm_load_print_meta: LF token = 13 '<0x0A>'
llm_load_tensors: ggml ctx size = 0.26 MB
llm_load_tensors: using ROCm for GPU acceleration
llm_load_tensors: mem required = 37709.06 MB
llm_load_tensors: offloading 15 repeating layers to GPU
llm_load_tensors: offloaded 15/83 layers to GPU
llm_load_tensors: VRAM used: 8785.69 MB
....................................................................................................
llama_new_context_with_model: n_ctx = 512
llama_new_context_with_model: freq_base = 10000.0
llama_new_context_with_model: freq_scale = 1
llama_new_context_with_model: kv self size = 160.00 MB
llama_build_graph: non-view tensors processed: 1844/1844
llama_new_context_with_model: compute buffer total size = 151.63 MB
llama_new_context_with_model: VRAM scratch buffer: 145.00 MB
llama_new_context_with_model: total VRAM used: 8930.69 MB (model: 8785.69 MB, context: 145.00 MB)
Available slots:
-> Slot 0 - max context: 512
llama server listening at http://127.0.0.1:8080
{"timestamp":1698890684,"level":"INFO","function":"main","line":2550,"message":"HTTP server listening","hostname":"127.0.0.1","port":8080}
all slots are idle and system prompt is empty, clear the KV cache
{"timestamp":1698890871,"level":"INFO","function":"log_server_request","line":2218,"message":"request","remote_addr":"127.0.0.1","remote_port":58296,"status":200,"method":"GET","path":"/","params":{}}
{"timestamp":1698890871,"level":"INFO","function":"log_server_request","line":2218,"message":"request","remote_addr":"127.0.0.1","remote_port":58296,"status":200,"method":"GET","path":"/index.js","params":{}}
{"timestamp":1698890871,"level":"INFO","function":"log_server_request","line":2218,"message":"request","remote_addr":"127.0.0.1","remote_port":58296,"status":200,"method":"GET","path":"/completion.js","params":{}}
{"timestamp":1698890871,"level":"INFO","function":"log_server_request","line":2218,"message":"request","remote_addr":"127.0.0.1","remote_port":58306,"status":200,"method":"GET","path":"/json-schema-to-grammar.mjs","params":{}}
slot 0 is processing [task id: 0]
slot 0 : in cache: 0 tokens | to process: 57 tokens
slot 0 : kv cache rm - [0, end)
Memory access fault by GPU node-1 (Agent handle: 0x55c2bca3a160) on address 0x7fe03c665000. Reason: Page not present or supervisor privilege.
[1] 682675 IOT instruction (core dumped) llama.cpp-server -m /mnt/ssd4tb/haagch/euryale-1.3-l2-70b.Q5_K_M.gguf 15