chore(model gallery): add knoveleng_open-rs3

gallery/index.yaml

@@ -18,7 +18,7 @@
     - gemma3
     - gemma-3
   overrides:
     #mmproj: gemma-3-27b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-27b-it-Q4_K_M.gguf
   files:
@@ -36,7 +36,7 @@
   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:
@@ -54,7 +54,7 @@
   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:
@@ -2212,7 +2212,7 @@
       sha256: 73d9a588383946dcac545a097c47d634558afd79ea43aac3a4563c311d89f195
       uri: huggingface://bartowski/NousResearch_DeepHermes-3-Llama-3-3B-Preview-GGUF/NousResearch_DeepHermes-3-Llama-3-3B-Preview-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
@@ -4173,7 +4173,7 @@
       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:
@@ -4971,7 +4971,7 @@
       sha256: dcc0e2dd36587fdd3ed0c8e8c215a01244f00dd85f62da23642410d0e688fe13
       uri: huggingface://mradermacher/qwen-writerdemo-7b-s500-i1-GGUF/qwen-writerdemo-7b-s500.i1-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
@@ -7102,7 +7102,7 @@
       sha256: 25db6d4ae5649e6d2084036d8f05ec1aca459126e2d4734d6c18f1e16147a4d3
       uri: huggingface://mradermacher/Llama-3.3-MagicalGirl-2.5-i1-GGUF/Llama-3.3-MagicalGirl-2.5.i1-Q4_K_M.gguf
 - &deepseek
   url: "github:mudler/LocalAI/gallery/deepseek.yaml@master" ## Deepseek
   name: "deepseek-coder-v2-lite-instruct"
   icon: "https://avatars.githubusercontent.com/u/148330874"
   license: deepseek
@@ -7167,7 +7167,7 @@
       sha256: a47782c55ef2b39b19644213720a599d9849511a73c9ebb0c1de749383c0a0f8
       uri: huggingface://RichardErkhov/ContextualAI_-_archangel_sft_pythia2-8b-gguf/archangel_sft_pythia2-8b.Q4_K_M.gguf
 - &deepseek-r1
   url: "github:mudler/LocalAI/gallery/deepseek-r1.yaml@master" ## Start DeepSeek-R1
   name: "deepseek-r1-distill-qwen-1.5b"
   icon: "https://avatars.githubusercontent.com/u/148330874"
   urls:
@@ -7498,8 +7498,30 @@
     - filename: TheDrummer_Fallen-Llama-3.3-R1-70B-v1-Q4_K_M.gguf
       sha256: 889455f0c747f2c444818c68169384d3da4830156d2a19906d7d6adf48b243df
       uri: huggingface://bartowski/TheDrummer_Fallen-Llama-3.3-R1-70B-v1-GGUF/TheDrummer_Fallen-Llama-3.3-R1-70B-v1-Q4_K_M.gguf
+- !!merge <<: *deepseek-r1
+  name: "knoveleng_open-rs3"
+  urls:
+    - https://huggingface.co/knoveleng/Open-RS3
+    - https://huggingface.co/bartowski/knoveleng_Open-RS3-GGUF
+  description: |
+    This repository hosts model for the Open RS project, accompanying the paper Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn’t. The project explores enhancing reasoning capabilities in small large language models (LLMs) using reinforcement learning (RL) under resource-constrained conditions.
+
+    We focus on a 1.5-billion-parameter model, DeepSeek-R1-Distill-Qwen-1.5B, trained on 4 NVIDIA A40 GPUs (48 GB VRAM each) within 24 hours. By adapting the Group Relative Policy Optimization (GRPO) algorithm and leveraging a curated, compact mathematical reasoning dataset, we conducted three experiments to assess performance and behavior. Key findings include:
+
+    Significant reasoning improvements, e.g., AMC23 accuracy rising from 63% to 80% and AIME24 reaching 46.7%, outperforming o1-preview.
+    Efficient training with just 7,000 samples at a cost of $42, compared to thousands of dollars for baseline models.
+    Challenges like optimization instability and length constraints with extended training.
+
+    These results showcase RL-based fine-tuning as a cost-effective approach for small LLMs, making reasoning capabilities accessible in resource-limited settings. We open-source our code, models, and datasets to support further research.
+  overrides:
+    parameters:
+      model: knoveleng_Open-RS3-Q4_K_M.gguf
+  files:
+    - filename: knoveleng_Open-RS3-Q4_K_M.gguf
+      sha256: 599ab49d78949e62e37c5e37b0c313626d066ca614020b9b17c2b5bbcf18ea7f
+      uri: huggingface://bartowski/knoveleng_Open-RS3-GGUF/knoveleng_Open-RS3-Q4_K_M.gguf
 - &qwen2
   url: "github:mudler/LocalAI/gallery/chatml.yaml@master" ## Start QWEN2
   name: "qwen2-7b-instruct"
   icon: https://avatars.githubusercontent.com/u/141221163
   license: apache-2.0
@@ -7900,7 +7922,7 @@
       sha256: dbffc989d12d42ef8e4a2994e102d7ec7a02c49ec08ea2e35426372ad07b4cd8
       uri: huggingface://bartowski/TAID-LLM-1.5B-GGUF/TAID-LLM-1.5B-Q4_K_M.gguf
 - &mistral03
   url: "github:mudler/LocalAI/gallery/mistral-0.3.yaml@master" ## START Mistral
   name: "mistral-7b-instruct-v0.3"
   icon: https://cdn-avatars.huggingface.co/v1/production/uploads/62dac1c7a8ead43d20e3e17a/wrLf5yaGC6ng4XME70w6Z.png
   license: apache-2.0