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

README.md

@@ -0,0 +1,42 @@
+---
+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    |