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Model: LLM360/guru-7b-step320 Source: Original Platform
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---
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library_name: transformers
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pipeline_tag: text-generation
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license: cc-by-nc-4.0
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---
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This repository contains the Guru-7B (base Qwen2.5-7B) model presented in [Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective](https://huggingface.co/papers/2506.14965).
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The leaderboard is evaluated with our evaluation [code](https://github.com/LLM360/Reasoning360/tree/main/scripts/offline_eval). The parameters we set in evaluation for all models: temperature=1.0, top_p=0.7.
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| **Domain** | **Benchmark** | **GURU 7B** | **General Reasoner 7B** | **ORZ 7B◇** | **SimpleRL 7B** | **GURU 32B** | **ORZ 32B◇** | **SimpleRL 32B** |
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|----------------|--------------------------------|------------:|-------------------------:|------------:|---------------:|-------------:|--------------:|-----------------:|
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| **Math** | AIME24 (avg@32) | 17.50 | 17.08 | 16.25 | 15.60 | 34.89 | 47.50 | 27.20 |
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| | MATH500 | 77.25 | 70.40 | 80.80 | 87.00 | 86.00 | 89.80 | 89.60 |
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| **Code** | LiveCodeBench (avg@4) | 16.49 | 8.51 | 5.47 | 6.72 | 29.30 | 22.04 | 19.80 |
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| | HumanEval (avg@4) | 82.62 | 61.12 | 67.38 | 58.08 | 90.85 | 84.30 | 81.25 |
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| | MBPP | 70.00 | 39.80 | 48.40 | 49.60 | 78.80 | 74.20 | 76.75 |
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| **Science** | GPQA-diamond (avg@4) | 40.78 | 38.64 | 37.63 | 35.98 | 50.63 | 55.67 | 46.46 |
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| | SuperGPQA | 31.80 | 30.64 | 29.75 | 27.29 | 43.60 | 46.05 | 37.73 |
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| **Logic** | ARC-AGI (avg@4) | 3.31 | 0.75 | 0.00 | 0.50 | 7.63 | 2.31 | 5.25 |
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| | Zebra Puzzle (avg@4) | 39.40 | 0.07 | 1.00 | 0.62 | 45.21 | 0.54 | 1.16 |
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| **Simulation** | CodeI/O (avg@4) | 15.63 | 7.13 | 5.13 | 6.63 | 12.63 | 3.75 | 9.75 |
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| | CruxEval-I | 61.72 | 63.63 | 69.38 | 56.25 | 80.63 | 71.13 | 72.63 |
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| | CruxEval-O | 71.28 | 56.50 | 65.88 | 58.31 | 88.75 | 82.38 | 67.75 |
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| **Tabular** | FinQA | 34.70 | 34.33 | 37.60 | 35.10 | 46.14 | 45.20 | 45.41 |
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| | HiTab | 74.20 | 54.40 | 54.10 | 50.40 | 82.00 | 63.30 | 69.00 |
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| | MultiHiertt (avg@4) | 44.94 | 31.62 | 38.10 | 37.57 | 55.28 | 52.83 | 52.83 |
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| **Others** | IFEval | 35.81 | 39.56 | 32.72 | 36.69 | 55.45 | 38.26 | 55.27 |
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| | LiveBench | 18.57 | 19.76 | 12.64 | 15.20 | 34.30 | 28.78 | 28.33 |
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| | **Average Score** | **43.29** | **33.76** | **35.42** | **33.97** | **54.24** | **47.53** | **46.25** |
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Example usage:
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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model = "LLM360/Guru-7B"
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tokenizer = AutoTokenizer.from_pretrained(model)
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model = AutoModelForCausalLM.from_pretrained(model, device_map="auto", torch_dtype="auto")
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messages = [{"role": "user", "content": "What is reinforcement learning?"}]
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prompt = tokenizer.apply_chat_template(messages, return_tensors="pt").to(model.device)
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outputs = model.generate(prompt, max_new_tokens=256, temperature=1.0, top_p=0.7)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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Please refer to the [paper](https://arxiv.org/abs/2506.14965) for more details.
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31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
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||||
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|
||||
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|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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||||
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
||||
size 11421896
|
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208
tokenizer_config.json
Normal file
208
tokenizer_config.json
Normal file
@@ -0,0 +1,208 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
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|
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|
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|
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|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user