初始化项目，由ModelHub XC社区提供模型

Model: RLinf/RLinf-math-1.5B Source: Original Platform
2026-07-30 23:05:56 +08:00
commit 6249d21b23
9 changed files with 303537 additions and 0 deletions
--- a/.gitattributes
+++ b/.gitattributes
@@ -0,0 +1,36 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+overview.png filter=lfs diff=lfs merge=lfs -text
--- a/README.md
+++ b/README.md
@@ -0,0 +1,131 @@
+---
+license: mit
+tags:
+- RLinf
+language:
+- en
+metrics:
+- accuracy
+base_model:
+- deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
+pipeline_tag: reinforcement-learning
+model-index:
+- name: RLinf-math-1.5B
+  results:
+  - task:
+      type: math             # Required. Example: automatic-speech-recognition
+    dataset:
+      type: aime_2024          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
+      name: AIME24         # Required. A pretty name for the dataset. Example: Common Voice (French)
+    metrics:
+      - type: accuracy        # Required. Example: wer. Use metric id from https://hf.co/metrics
+        value: 48.03125      # Required. Example: 20.90
+  - task:
+      type: math             # Required. Example: automatic-speech-recognition
+    dataset:
+      type: aime_2025          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
+      name: AIME25        # Required. A pretty name for the dataset. Example: Common Voice (French)
+    metrics:
+      - type: accuracy        # Required. Example: wer. Use metric id from https://hf.co/metrics
+        value: 35.10625    # Required. Example: 20.90
+  - task:
+      type: stem             # Required. Example: automatic-speech-recognition
+    dataset:
+      type: gpqa_diamond          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
+      name: GPQA-diamond         # Required. A pretty name for the dataset. Example: Common Voice (French)
+    metrics:
+      - type: accuracy        # Required. Example: wer. Use metric id from https://hf.co/metrics
+        value: 37.509375      # Required. Example: 20.90
+---
+
+<div align="center">
+  <img src="logo.svg" alt="RLinf-logo" width="500"/>
+</div>
+
+
+<div align="center">
+<!-- <a href="TODO"><img src="https://img.shields.io/badge/arXiv-Paper-red?logo=arxiv"></a> -->
+<!-- <a href="TODO"><img src="https://img.shields.io/badge/HuggingFace-yellow?logo=huggingface&logoColor=white" alt="Hugging Face"></a> -->
+<a href="https://github.com/RLinf/RLinf"><img src="https://img.shields.io/badge/Github-blue"></a>
+<a href="https://rlinf.readthedocs.io/en/latest/"><img src="https://img.shields.io/badge/Documentation-Purple?color=8A2BE2&logo=readthedocs"></a>
+<!-- <a href="TODO"><img src="https://devin.ai/assets/deepwiki-badge.png" alt="Ask DeepWiki.com" style="height:20px;"></a>
+<a href="TODO"><img src="https://img.shields.io/badge/微信-green?logo=wechat&amp"></a> -->
+</div>
+
+<h1 align="center">RLinf: Reinforcement Learning Infrastructure for Agentic AI</h1>
+
+[RLinf](https://github.com/RLinf/RLinf) is a flexible and scalable open-source infrastructure designed for post-training foundation models (LLMs, VLMs, VLAs) via reinforcement learning. The 'inf' in RLinf stands for Infrastructure, highlighting its role as a robust backbone for next-generation training. It also stands for Infinite, symbolizing the system’s support for open-ended learning, continuous generalization, and limitless possibilities in intelligence development.
+
+
+<div align="center">
+  <img src="overview.png" alt="RLinf-overview" width="600"/>
+</div>
+
+## Model Description
+The RLinf-math series is trained on DeepSeek-R1-Distill-Qwen (1.5B and 7B variants), using the same base models and training datasets as AReaL. Training with RLinf yields SOTA performance.
+
+We adopt Group Relative Policy Optimization (GRPO) with token-level loss aggregation, focusing on mathematical reasoning and long chain-of-thought (CoT) tasks.
+
+## Evaluation and Results
+We trained and evaluated two models using RLinf:
+
+- RLinf-math-1.5B Model (based on DeepSeek-R1-Distill-Qwen-1.5B)
+  - Recommended sampling settings:  `temperature = 0.6`, `top_p = 0.95`
+
+- RLinf-math-7B Model (based on DeepSeek-R1-Distill-Qwen-7B)
+  - Recommended sampling settings:  `temperature = 1.0`, `top_p = 0.95`
+
+### Benchmark Results
+
+**1.5B models**. All models except the base model are trained upon DeepSeek-R1-Distill-Qwen-1.5B using RL. 
+
+| Model                                      | AIME 24   | AIME 25   | GPQA-diamond | Average   |
+| ------------------------------------------ | --------- | --------- | ------------ | --------- |
+| [DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B) | 28.33     | 24.90     | 27.45        | 26.89     |
+| [DeepMath-1.5B](https://huggingface.co/zwhe99/DeepMath-1.5B)                             | 37.80     | 30.42     | 32.11        | 33.44     |
+| [DeepScaleR-1.5B-Preview](https://huggingface.co/agentica-org/DeepScaleR-1.5B-Preview)                    | 40.41     | 30.93     | 27.54        | 32.96     |
+| [AReaL-1.5B-Preview-Stage-3](https://huggingface.co/inclusionAI/AReaL-1.5B-Preview-Stage-3)                 | 40.73     | 31.56     | 28.10        | 33.46     |
+| AReaL-1.5B-retrain*                        | 44.42     | 34.27     | 33.81        | 37.50     |
+| [FastCuRL-1.5B-V3](https://huggingface.co/Nickyang/FastCuRL-1.5B-V3)                          | 43.65     | 32.49     | 35.00        | 37.05     |
+| [RLinf-math-1.5B](https://huggingface.co/RLinf/RLinf-math-1.5B)                           | **48.44** | **35.63** | **38.46**    | **40.84** |
+
+\* We retrain the model using the default settings for 600 steps. 
+
+**7B models**. All models except the base model are trained upon DeepSeek-R1-Distill-Qwen-7B using RL. 
+
+| Model                                    | AIME 24   | AIME 25   | GPQA-diamond | Average   |
+| ---------------------------------------- | --------- | --------- | ------------ | --------- |
+| [DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B)  | 54.90     | 40.20     | 45.48        | 46.86     |
+| [AReaL-boba-RL-7B](https://huggingface.co/inclusionAI/AReaL-boba-RL-7B)                           | 61.66     | 49.38     | 46.93        | 52.66     |
+| [Skywork-OR1-7B](https://huggingface.co/Skywork/Skywork-OR1-7B)                           | 66.87     | 52.49     | 44.43        | 54.60     |
+| [Polaris-7B-Preview](https://huggingface.co/POLARIS-Project/Polaris-7B-Preview)                    | **68.55** | 51.24     | 43.88        | 54.56     |
+| [AceMath-RL-Nemotron-7B](https://huggingface.co/nvidia/AceMath-RL-Nemotron-7B)                   | 67.30     | **55.00** | 45.57        | 55.96     |
+| [RLinf-math-7B](https://huggingface.co/RLinf/RLinf-math-7B)                            | 68.33     | 52.19     | **48.18**    | **56.23** |
+
+
+
+## How to Use
+Example with Hugging Face `transformers`:
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "RLinf/RLinf-math-1.5B"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto")
+
+prompt = "Solve: If x^2 + 2x + 1 = 0, what is x?"
+
+inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+outputs = model.generate(
+    **inputs,
+    max_new_tokens=512,
+    temperature=0.6,   # recommended for 1.5B
+    top_p=0.95
+)
+
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## License
+This code repository and the model weights are licensed under the MIT License.
--- a/config.json
+++ b/config.json
@@ -0,0 +1,28 @@
+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 1536,
+  "initializer_range": 0.02,
+  "intermediate_size": 8960,
+  "max_position_embeddings": 131072,
+  "max_window_layers": 21,
+  "model_type": "qwen2",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 2,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 10000,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.0",
+  "use_cache": true,
+  "use_mrope": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}
--- a/generation_config.json
+++ b/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 151646,
+  "eos_token_id": 151643,
+  "do_sample": true,
+  "temperature": 0.6,
+  "top_p": 0.95,
+  "transformers_version": "4.39.3"
+}
--- a/logo.svg
+++ b/logo.svg
--- a/model.safetensors
+++ b/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:370fd2626a722bb952db60d7203f83bedffb1798c353d99d83d5f1c937ea3583
+size 3554214416
--- a/overview.png
+++ b/overview.png
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c47aada3c449b61a645b0f0c549b1bfaf7e3a614823844aabaf8e46a7df46e97
+size 234290
--- a/tokenizer.json
+++ b/tokenizer.json
--- a/tokenizer_config.json
+++ b/tokenizer_config.json
@@ -0,0 +1,35 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "bos_token": {
+    "__type": "AddedToken",
+    "content": "<｜begin▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "clean_up_tokenization_spaces": false,
+  "eos_token": {
+    "__type": "AddedToken",
+    "content": "<｜end▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "legacy": true,
+  "model_max_length": 16384,
+  "pad_token": {
+    "__type": "AddedToken",
+    "content": "<｜end▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sp_model_kwargs": {},
+  "unk_token": null,
+  "tokenizer_class": "LlamaTokenizerFast",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜><think>\\n'}}{% endif %}"
+}