初始化项目，由ModelHub XC社区提供模型

Model: OrionLLM/GRM-7b
Source: Original Platform

.eval_results/gpqa.yaml

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+- dataset:
+    id: Idavidrein/gpqa
+    task_id: diamond
+  value: 53.7
+  date: '2026-04-06'
+  source:
+    url: https://huggingface.co/OrionLLM/GRM-7b
+    name: Model Card
+    user: DedeProGames

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README.md

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+---
+base_model: Qwen/Qwen2.5-7B-Instruct
+library_name: transformers
+license: apache-2.0
+tags:
+- reasoning
+- math
+- code
+- general
+model-index:
+- name: GRM-7b
+  results: []
+pipeline_tag: text-generation
+new_version: OrionLLM/GRM2-3b
+---
+<p align="center">
+  <img src="https://cdn-uploads.huggingface.co/production/uploads/685ea8ff7b4139b6845ce395/YF0kEDYMGJhcM3Lbl2EOD.png" alt="logo" width="250">
+</p>
+
+**GRM-7b** is a **general-purpose reasoning-focused** 7B model fine-tuned to improve **multi-domain reasoning** (math, logic, coding, and broad problem-solving). It is designed to be a strong, practical “daily driver” for **general reasoning tasks** and as a solid base for **further fine-tuning**.
+
+---
+
+## Key features
+
+- **Dedicated reasoning behavior** for general tasks (stepwise problem solving, better consistency).
+- **Strong 7B-scale model** — practical for local inference and experimentation.
+- **Multi-domain mixture**: reasoning + code + math + (some) medical reasoning data.
+- **Fine-tune friendly**: intended as a good starting point for your own SFT/GRPO/DPO pipelines.
+
+---
+
+## Benchmarks
+
+| Model                                                                                           | Data  | AIME24 | AIME25 |  AMC23 | MATH500 | HMMT O2/25 | LCB 06/24-01/25 | CodeElo | CodeForces | GPQA-D | JEEBench |
+| ----------------------------------------------------------------------------------------------- | ----- | ------ | ------ | ------ | ------- | ---------- | --------------- | ------- | ---------- | ------ | -------- |
+| [OpenThinker-7B](https://huggingface.co/open-thoughts/OpenThinker-7B)                           | ✅    |  30.7  |  22.0  |  72.5  |   82.8  |   15.7     |    26.1         |  11.1   |  14.9      |  38.6  |  45.3    |
+| **[GRM-7b](https://huggingface.co/OrionLLM/GRM-7b)**                                            | ✅    |**69.0**|**53.3**|**93.5**| **90.0**| **42.7**   |  **51.7**       |  31.0   |**32.2**    |  53.7  |**72.4**  |
+| [DeepSeek-R1-Distill-Qwen-32B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B) | ❌    |  51.3  |  38.0  |  92.0  |   88.0  |   25.0     |    34.5         |  19.9   |  21.1      |  33.2  |  50.4    |
+| [OpenR1-Distill-7B](https://huggingface.co/open-r1/OpenR1-Distill-7B)                           | ✅    |  57.7  |  39.7  |  87.0  |   88.0  |   25.7     |    30.7         |  30.1   |  29.3      |**58.9**|  68.7    |
+| [Llama-3.1-Nemotron-Nano-8B-v1](https://huggingface.co/nvidia/Llama-3.1-Nemotron-Nano-8B-v1)    | ✅    |  62.0  |  48.0  |**94.0**|   89.4  |   26.7     |    **50.9**     |  30.9   |**32.9**    |  52.9  |  70.7    |
+| [AceReason-Nemotron-7B](https://huggingface.co/nvidia/AceReason-Nemotron-7B)                    | ✅    |**71.0**|  50.7  |**93.8**|   89.8  |   33.3     |    44.3         |**32.9** |**30.9**    |  52.9  |  64.3    |

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all_results.json

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+    "train_steps_per_second": 0.841
+}

config.json

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special_tokens_map.json

@@ -0,0 +1,31 @@
+{
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+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

start_end.json

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+{"start_time": "2025-05-18 18:57:32", "end_time": "2025-05-18 22:37:42"}

tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
+size 11421896

tokenizer_config.json

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+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
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+      "special": true
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+    "151649": {
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+      "special": true
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+      "special": true
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+    "151657": {
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+    },
+    "151658": {
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+    },
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+    "151660": {
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+    },
+    "151663": {
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+    },
+    "151664": {
+      "content": "<|file_sep|>",
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+      "normalized": false,
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+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- messages[0]['content'] }}\n    {%- else %}\n        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n    {%- endif %}\n    {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else %}\n        {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

train_results.json

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+{
+    "epoch": 5.0,
+    "total_flos": 1.8504084910768128e+17,
+    "train_loss": 0.0797391855489743,
+    "train_runtime": 13114.3231,
+    "train_samples_per_second": 430.543,
+    "train_steps_per_second": 0.841
+}

training_args.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b95c714f054f95b94eac9b75defafb7369c61c25cf83b57f09146ce4fa45a50b
+size 7416