chore(model-gallery): ⬆️ update checksum

gallery/index.yaml

@@ -584,24 +584,24 @@
     - https://huggingface.co/Daemontatox/Qwen3-14B-Griffon
     - https://huggingface.co/mradermacher/Qwen3-14B-Griffon-i1-GGUF
   description: |
-      This is a fine-tuned version of the Qwen3-14B model using the high-quality OpenThoughts2-1M dataset. Fine-tuned with Unsloth’s TRL-compatible framework and LoRA for efficient performance, this model is optimized for advanced reasoning tasks, especially in math, logic puzzles, code generation, and step-by-step problem solving.
-      Training Dataset
+    This is a fine-tuned version of the Qwen3-14B model using the high-quality OpenThoughts2-1M dataset. Fine-tuned with Unsloth’s TRL-compatible framework and LoRA for efficient performance, this model is optimized for advanced reasoning tasks, especially in math, logic puzzles, code generation, and step-by-step problem solving.
+    Training Dataset
 
-          Dataset: OpenThoughts2-1M
-          Source: A synthetic dataset curated and expanded by the OpenThoughts team
-          Volume: ~1.1M high-quality examples
-          Content Type: Multi-turn reasoning, math proofs, algorithmic code generation, logical deduction, and structured conversations
-          Tools Used: Curator Viewer
+        Dataset: OpenThoughts2-1M
+        Source: A synthetic dataset curated and expanded by the OpenThoughts team
+        Volume: ~1.1M high-quality examples
+        Content Type: Multi-turn reasoning, math proofs, algorithmic code generation, logical deduction, and structured conversations
+        Tools Used: Curator Viewer
 
-      This dataset builds upon OpenThoughts-114k and integrates strong reasoning-centric data sources like OpenR1-Math and KodCode.
-      Intended Use
+    This dataset builds upon OpenThoughts-114k and integrates strong reasoning-centric data sources like OpenR1-Math and KodCode.
+    Intended Use
 
-      This model is particularly suited for:
+    This model is particularly suited for:
 
-          Chain-of-thought and step-by-step reasoning
-          Code generation with logical structure
-          Educational tools for math and programming
-          AI agents requiring multi-turn problem-solving
+        Chain-of-thought and step-by-step reasoning
+        Code generation with logical structure
+        Educational tools for math and programming
+        AI agents requiring multi-turn problem-solving
   overrides:
     parameters:
       model: Qwen3-14B-Griffon.i1-Q4_K_M.gguf
@@ -683,7 +683,7 @@
     - gemma3
     - gemma-3
   overrides:
     #mmproj: gemma-3-27b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-27b-it-Q4_K_M.gguf
   files:
@@ -701,7 +701,7 @@
   description: |
     google/gemma-3-12b-it is an open-source, state-of-the-art, lightweight, multimodal model built from the same research and technology used to create the Gemini models. It is capable of handling text and image input and generating text output. It has a large context window of 128K tokens and supports over 140 languages. The 12B variant has been fine-tuned using the instruction-tuning approach. Gemma 3 models are suitable for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Their relatively small size makes them deployable in environments with limited resources such as laptops, desktops, or your own cloud infrastructure.
   overrides:
     #mmproj: gemma-3-12b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-12b-it-Q4_K_M.gguf
   files:
@@ -719,7 +719,7 @@
   description: |
     Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. Gemma 3 models are multimodal, handling text and image input and generating text output, with open weights for both pre-trained variants and instruction-tuned variants. Gemma 3 has a large, 128K context window, multilingual support in over 140 languages, and is available in more sizes than previous versions. Gemma 3 models are well-suited for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Their relatively small size makes it possible to deploy them in environments with limited resources such as laptops, desktops or your own cloud infrastructure, democratizing access to state of the art AI models and helping foster innovation for everyone. Gemma-3-4b-it is a 4 billion parameter model.
   overrides:
     #mmproj: gemma-3-4b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-4b-it-Q4_K_M.gguf
   files:
@@ -3646,7 +3646,7 @@
       sha256: b9f01bead9e163db9351af036d8d63ef479d7d48a1bb44934ead732a180f371c
       uri: huggingface://bartowski/Menlo_ReZero-v0.1-llama-3.2-3b-it-grpo-250404-GGUF/Menlo_ReZero-v0.1-llama-3.2-3b-it-grpo-250404-Q4_K_M.gguf
 - &qwen25
   name: "qwen2.5-14b-instruct" ## Qwen2.5
   icon: https://avatars.githubusercontent.com/u/141221163
   url: "github:mudler/LocalAI/gallery/chatml.yaml@master"
   license: apache-2.0
@@ -5607,7 +5607,7 @@
       sha256: 0fec82625f74a9a340837de7af287b1d9042e5aeb70cda2621426db99958b0af
       uri: huggingface://bartowski/Chuluun-Qwen2.5-72B-v0.08-GGUF/Chuluun-Qwen2.5-72B-v0.08-Q4_K_M.gguf
 - &smollm
   url: "github:mudler/LocalAI/gallery/chatml.yaml@master" ## SmolLM
   name: "smollm-1.7b-instruct"
   icon: https://huggingface.co/datasets/HuggingFaceTB/images/resolve/main/banner_smol.png
   tags:
@@ -7078,13 +7078,7 @@
   urls:
     - https://huggingface.co/ServiceNow-AI/Apriel-Nemotron-15b-Thinker
     - https://huggingface.co/bartowski/ServiceNow-AI_Apriel-Nemotron-15b-Thinker-GGUF
-  description: |
-    Apriel-Nemotron-15b-Thinker is a 15 billion‑parameter reasoning model in ServiceNow’s Apriel SLM series which achieves competitive performance against similarly sized state-of-the-art models like o1‑mini, QWQ‑32b, and EXAONE‑Deep‑32b, all while maintaining only half the memory footprint of those alternatives. It builds upon the Apriel‑15b‑base checkpoint through a three‑stage training pipeline (CPT, SFT and GRPO).
-    Highlights
-        Half the size of SOTA models like QWQ-32b and EXAONE-32b and hence memory efficient.
-        It consumes 40% less tokens compared to QWQ-32b, making it super efficient in production. 🚀🚀🚀
-        On par or outperforms on tasks like - MBPP, BFCL, Enterprise RAG, MT Bench, MixEval, IFEval and Multi-Challenge making it great for Agentic / Enterprise tasks.
-        Competitive performance on academic benchmarks like AIME-24 AIME-25, AMC-23, MATH-500 and GPQA considering model size.
+  description: "Apriel-Nemotron-15b-Thinker is a 15 billion‑parameter reasoning model in ServiceNow’s Apriel SLM series which achieves competitive performance against similarly sized state-of-the-art models like o1‑mini, QWQ‑32b, and EXAONE‑Deep‑32b, all while maintaining only half the memory footprint of those alternatives. It builds upon the Apriel‑15b‑base checkpoint through a three‑stage training pipeline (CPT, SFT and GRPO).\nHighlights\n    Half the size of SOTA models like QWQ-32b and EXAONE-32b and hence memory efficient.\n    It consumes 40% less tokens compared to QWQ-32b, making it super efficient in production. \U0001F680\U0001F680\U0001F680\n    On par or outperforms on tasks like - MBPP, BFCL, Enterprise RAG, MT Bench, MixEval, IFEval and Multi-Challenge making it great for Agentic / Enterprise tasks.\n    Competitive performance on academic benchmarks like AIME-24 AIME-25, AMC-23, MATH-500 and GPQA considering model size.\n"
   overrides:
     parameters:
       model: ServiceNow-AI_Apriel-Nemotron-15b-Thinker-Q4_K_M.gguf
@@ -7112,7 +7106,7 @@
       sha256: 2576edd5b1880bcac6732eae9446b035426aee2e76937dc68a252ad34e185705
       uri: huggingface://bartowski/cognition-ai_Kevin-32B-GGUF/cognition-ai_Kevin-32B-Q4_K_M.gguf
 - &llama31
   url: "github:mudler/LocalAI/gallery/llama3.1-instruct.yaml@master" ## LLama3.1
   icon: https://avatars.githubusercontent.com/u/153379578
   name: "meta-llama-3.1-8b-instruct"
   license: llama3.1
@@ -9013,8 +9007,8 @@
       model: deepseek-r1-distill-llama-8b-Q4_K_M.gguf
   files:
     - filename: deepseek-r1-distill-llama-8b-Q4_K_M.gguf
-      sha256: f8eba201522ab44b79bc54166126bfaf836111ff4cbf2d13c59c3b57da10573b
       uri: huggingface://unsloth/DeepSeek-R1-Distill-Llama-8B-GGUF/DeepSeek-R1-Distill-Llama-8B-Q4_K_M.gguf
+      sha256: 0addb1339a82385bcd973186cd80d18dcc71885d45eabd899781a118d03827d9
 - !!merge <<: *llama31
   name: "selene-1-mini-llama-3.1-8b"
   icon: https://atla-ai.notion.site/image/https%3A%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2Ff08e6e70-73af-4363-9621-90e906b92ebc%2F1bfb4316-1ce6-40a0-800c-253739cfcdeb%2Fatla_white3x.svg?table=block&id=17c309d1-7745-80f9-8f60-e755409acd8d&spaceId=f08e6e70-73af-4363-9621-90e906b92ebc&userId=&cache=v2