Transfer from PIPer-iclr/PIPer-8B-RL-only
Browse files- .gitattributes +1 -0
 - README.md +77 -0
 - added_tokens.json +28 -0
 - config.json +68 -0
 - generation_config.json +13 -0
 - merges.txt +0 -0
 - model-00001-of-00007.safetensors +3 -0
 - model-00002-of-00007.safetensors +3 -0
 - model-00003-of-00007.safetensors +3 -0
 - model-00004-of-00007.safetensors +3 -0
 - model-00005-of-00007.safetensors +3 -0
 - model-00006-of-00007.safetensors +3 -0
 - model-00007-of-00007.safetensors +3 -0
 - model.safetensors.index.json +406 -0
 - special_tokens_map.json +31 -0
 - tokenizer.json +3 -0
 - tokenizer_config.json +240 -0
 - vocab.json +0 -0
 
    	
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            ---
         
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            library_name: transformers
         
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            datasets:
         
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            - PIPer-iclr/envbench-zeroshot-rl
         
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            base_model:
         
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            - PIPer-iclr/Qwen3-8B-am
         
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            pipeline_tag: text-generation
         
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            license: mit
         
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            ---
         
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            # 🚀 PIPer: On-Device Environment Setup via Online Reinforcement Learning
         
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            <div align="center">
         
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            [](https://huggingface.co/PIPer-iclr)
         
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            [](https://huggingface.co/datasets/PIPer-iclr/envbench-zeroshot-rl)
         
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            [](LICENSE)
         
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            *Democratizing environment setup with on-device sized models that match the performance of much larger proprietary systems*
         
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            </div>
         
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            ## 🎯 Overview
         
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            Environment setup—the process of configuring systems to work with specific software projects—remains a persistent challenge in software engineering. **PIPer** addresses this by training specialized on-device models that can automatically generate correct Bash scripts for environment configuration.
         
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            Our approach combines:
         
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            - 📚 **Supervised Fine-Tuning (SFT)** with executable scripts from larger models
         
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            - 🎯 **Reinforcement Learning with Verifiable Rewards (RLVR)** using lightweight proxy LLM-reward
         
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            ## 🏆 Key Results
         
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            | Model | Size | EnvBench avg@5 | Cost per 1M tokens |
         
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            |-------|------|----------------|-------------------|
         
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            | **PIPer** | 8B | **19.4** | $0.60 |
         
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            | GPT-4o | - | 19.4 | $15.00 |
         
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            | Qwen3-32B | 32B | 16.2 | $2.00 |
         
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            | Qwen3-8B | 8B | 2.6 | $0.60 |
         
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            > 🎉 **PIPer achieves 9× improvement** over its base model while **matching GPT-4o performance** at **25x lower cost**
         
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            ## 📦 Available Artifacts
         
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            ### 🤖 Model Checkpoints
         
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            | Model | Description | HuggingFace Link |
         
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            |-------|-------------|------------------|
         
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            | **🏅 PIPer (Full)** | Complete SFT+RL trained model | [PIPer-iclr/PIPer-8B](https://huggingface.co/PIPer-iclr/PIPer-8B) |
         
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            | 🎯 PIPer (RL-only) | RLVR checkpoint only | [PIPer-iclr/PIPer-8B-RL-only](https://huggingface.co/PIPer-iclr/PIPer-8B-RL-only) |
         
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            | 📚 PIPer (SFT-only) | Supervised fine-tuning only | [PIPer-iclr/PIPer-8B-SFT-only](https://huggingface.co/PIPer-iclr/PIPer-8B-SFT-only) |
         
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            ### 📊 Datasets
         
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            | Dataset | Description | HuggingFace Link |
         
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            |---------|-------------|------------------|
         
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            | **EnvBench Zero-shot RL** | Training prompts and evaluation data | [PIPer-iclr/envbench-zeroshot-rl](https://huggingface.co/datasets/PIPer-iclr/envbench-zeroshot-rl) |
         
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            ## 📊 Evaluation Benchmarks
         
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            | Benchmark | Description | Metric | Our Result |
         
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            |-----------|-------------|---------|------------|
         
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            | **EnvBench-Python** | 329 Python repositories | pass@5 | 🏆 **27/329** |
         
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            | **Repo2Run** | 420 Python repositories | pass@5 | 🏆 **103/420** |
         
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            | **Terminal-Bench** | 80 terminal tasks | pass@10 | **4/80** |
         
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            ## 🙏 Acknowledgments
         
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            - Built on top of [EnvBench](https://github.com/princeton-nlp/EnvBench) evaluation framework
         
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            - Uses [VeRL](https://github.com/volcengine/verl) for efficient RL training
         
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            - Leverages [Qwen3](https://huggingface.co/Qwen) model family as base architecture
         
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            ## 📄 License
         
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            This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
         
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            {
         
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              "architectures": [
         
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                "Qwen3ForCausalLM"
         
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            }
         
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     | 
| 406 | 
         
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     | 
    	
        special_tokens_map.json
    ADDED
    
    | 
         @@ -0,0 +1,31 @@ 
     | 
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            +
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     | 
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            +
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     | 
| 3 | 
         
            +
                "<|im_start|>",
         
     | 
| 4 | 
         
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     | 
| 5 | 
         
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| 6 | 
         
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     | 
| 7 | 
         
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| 8 | 
         
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     | 
| 9 | 
         
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     | 
| 10 | 
         
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     | 
| 11 | 
         
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     | 
| 12 | 
         
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     | 
| 13 | 
         
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     | 
| 14 | 
         
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     | 
| 15 | 
         
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     | 
| 16 | 
         
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| 17 | 
         
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     | 
| 18 | 
         
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| 19 | 
         
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| 29 | 
         
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     | 
| 30 | 
         
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     | 
| 31 | 
         
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     | 
    	
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    ADDED
    
    | 
         @@ -0,0 +1,3 @@ 
     | 
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         | 
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     | 
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     | 
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            size 11422654
         
     | 
    	
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    ADDED
    
    | 
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         | 
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| 1 | 
         
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     | 
| 12 | 
         
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     | 
| 20 | 
         
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     | 
| 78 | 
         
            +
                  "content": "<|vision_start|>",
         
     | 
| 79 | 
         
            +
                  "lstrip": false,
         
     | 
| 80 | 
         
            +
                  "normalized": false,
         
     | 
| 81 | 
         
            +
                  "rstrip": false,
         
     | 
| 82 | 
         
            +
                  "single_word": false,
         
     | 
| 83 | 
         
            +
                  "special": true
         
     | 
| 84 | 
         
            +
                },
         
     | 
| 85 | 
         
            +
                "151653": {
         
     | 
| 86 | 
         
            +
                  "content": "<|vision_end|>",
         
     | 
| 87 | 
         
            +
                  "lstrip": false,
         
     | 
| 88 | 
         
            +
                  "normalized": false,
         
     | 
| 89 | 
         
            +
                  "rstrip": false,
         
     | 
| 90 | 
         
            +
                  "single_word": false,
         
     | 
| 91 | 
         
            +
                  "special": true
         
     | 
| 92 | 
         
            +
                },
         
     | 
| 93 | 
         
            +
                "151654": {
         
     | 
| 94 | 
         
            +
                  "content": "<|vision_pad|>",
         
     | 
| 95 | 
         
            +
                  "lstrip": false,
         
     | 
| 96 | 
         
            +
                  "normalized": false,
         
     | 
| 97 | 
         
            +
                  "rstrip": false,
         
     | 
| 98 | 
         
            +
                  "single_word": false,
         
     | 
| 99 | 
         
            +
                  "special": true
         
     | 
| 100 | 
         
            +
                },
         
     | 
| 101 | 
         
            +
                "151655": {
         
     | 
| 102 | 
         
            +
                  "content": "<|image_pad|>",
         
     | 
| 103 | 
         
            +
                  "lstrip": false,
         
     | 
| 104 | 
         
            +
                  "normalized": false,
         
     | 
| 105 | 
         
            +
                  "rstrip": false,
         
     | 
| 106 | 
         
            +
                  "single_word": false,
         
     | 
| 107 | 
         
            +
                  "special": true
         
     | 
| 108 | 
         
            +
                },
         
     | 
| 109 | 
         
            +
                "151656": {
         
     | 
| 110 | 
         
            +
                  "content": "<|video_pad|>",
         
     | 
| 111 | 
         
            +
                  "lstrip": false,
         
     | 
| 112 | 
         
            +
                  "normalized": false,
         
     | 
| 113 | 
         
            +
                  "rstrip": false,
         
     | 
| 114 | 
         
            +
                  "single_word": false,
         
     | 
| 115 | 
         
            +
                  "special": true
         
     | 
| 116 | 
         
            +
                },
         
     | 
| 117 | 
         
            +
                "151657": {
         
     | 
| 118 | 
         
            +
                  "content": "<tool_call>",
         
     | 
| 119 | 
         
            +
                  "lstrip": false,
         
     | 
| 120 | 
         
            +
                  "normalized": false,
         
     | 
| 121 | 
         
            +
                  "rstrip": false,
         
     | 
| 122 | 
         
            +
                  "single_word": false,
         
     | 
| 123 | 
         
            +
                  "special": false
         
     | 
| 124 | 
         
            +
                },
         
     | 
| 125 | 
         
            +
                "151658": {
         
     | 
| 126 | 
         
            +
                  "content": "</tool_call>",
         
     | 
| 127 | 
         
            +
                  "lstrip": false,
         
     | 
| 128 | 
         
            +
                  "normalized": false,
         
     | 
| 129 | 
         
            +
                  "rstrip": false,
         
     | 
| 130 | 
         
            +
                  "single_word": false,
         
     | 
| 131 | 
         
            +
                  "special": false
         
     | 
| 132 | 
         
            +
                },
         
     | 
| 133 | 
         
            +
                "151659": {
         
     | 
| 134 | 
         
            +
                  "content": "<|fim_prefix|>",
         
     | 
| 135 | 
         
            +
                  "lstrip": false,
         
     | 
| 136 | 
         
            +
                  "normalized": false,
         
     | 
| 137 | 
         
            +
                  "rstrip": false,
         
     | 
| 138 | 
         
            +
                  "single_word": false,
         
     | 
| 139 | 
         
            +
                  "special": false
         
     | 
| 140 | 
         
            +
                },
         
     | 
| 141 | 
         
            +
                "151660": {
         
     | 
| 142 | 
         
            +
                  "content": "<|fim_middle|>",
         
     | 
| 143 | 
         
            +
                  "lstrip": false,
         
     | 
| 144 | 
         
            +
                  "normalized": false,
         
     | 
| 145 | 
         
            +
                  "rstrip": false,
         
     | 
| 146 | 
         
            +
                  "single_word": false,
         
     | 
| 147 | 
         
            +
                  "special": false
         
     | 
| 148 | 
         
            +
                },
         
     | 
| 149 | 
         
            +
                "151661": {
         
     | 
| 150 | 
         
            +
                  "content": "<|fim_suffix|>",
         
     | 
| 151 | 
         
            +
                  "lstrip": false,
         
     | 
| 152 | 
         
            +
                  "normalized": false,
         
     | 
| 153 | 
         
            +
                  "rstrip": false,
         
     | 
| 154 | 
         
            +
                  "single_word": false,
         
     | 
| 155 | 
         
            +
                  "special": false
         
     | 
| 156 | 
         
            +
                },
         
     | 
| 157 | 
         
            +
                "151662": {
         
     | 
| 158 | 
         
            +
                  "content": "<|fim_pad|>",
         
     | 
| 159 | 
         
            +
                  "lstrip": false,
         
     | 
| 160 | 
         
            +
                  "normalized": false,
         
     | 
| 161 | 
         
            +
                  "rstrip": false,
         
     | 
| 162 | 
         
            +
                  "single_word": false,
         
     | 
| 163 | 
         
            +
                  "special": false
         
     | 
| 164 | 
         
            +
                },
         
     | 
| 165 | 
         
            +
                "151663": {
         
     | 
| 166 | 
         
            +
                  "content": "<|repo_name|>",
         
     | 
| 167 | 
         
            +
                  "lstrip": false,
         
     | 
| 168 | 
         
            +
                  "normalized": false,
         
     | 
| 169 | 
         
            +
                  "rstrip": false,
         
     | 
| 170 | 
         
            +
                  "single_word": false,
         
     | 
| 171 | 
         
            +
                  "special": false
         
     | 
| 172 | 
         
            +
                },
         
     | 
| 173 | 
         
            +
                "151664": {
         
     | 
| 174 | 
         
            +
                  "content": "<|file_sep|>",
         
     | 
| 175 | 
         
            +
                  "lstrip": false,
         
     | 
| 176 | 
         
            +
                  "normalized": false,
         
     | 
| 177 | 
         
            +
                  "rstrip": false,
         
     | 
| 178 | 
         
            +
                  "single_word": false,
         
     | 
| 179 | 
         
            +
                  "special": false
         
     | 
| 180 | 
         
            +
                },
         
     | 
| 181 | 
         
            +
                "151665": {
         
     | 
| 182 | 
         
            +
                  "content": "<tool_response>",
         
     | 
| 183 | 
         
            +
                  "lstrip": false,
         
     | 
| 184 | 
         
            +
                  "normalized": false,
         
     | 
| 185 | 
         
            +
                  "rstrip": false,
         
     | 
| 186 | 
         
            +
                  "single_word": false,
         
     | 
| 187 | 
         
            +
                  "special": false
         
     | 
| 188 | 
         
            +
                },
         
     | 
| 189 | 
         
            +
                "151666": {
         
     | 
| 190 | 
         
            +
                  "content": "</tool_response>",
         
     | 
| 191 | 
         
            +
                  "lstrip": false,
         
     | 
| 192 | 
         
            +
                  "normalized": false,
         
     | 
| 193 | 
         
            +
                  "rstrip": false,
         
     | 
| 194 | 
         
            +
                  "single_word": false,
         
     | 
| 195 | 
         
            +
                  "special": false
         
     | 
| 196 | 
         
            +
                },
         
     | 
| 197 | 
         
            +
                "151667": {
         
     | 
| 198 | 
         
            +
                  "content": "<think>",
         
     | 
| 199 | 
         
            +
                  "lstrip": false,
         
     | 
| 200 | 
         
            +
                  "normalized": false,
         
     | 
| 201 | 
         
            +
                  "rstrip": false,
         
     | 
| 202 | 
         
            +
                  "single_word": false,
         
     | 
| 203 | 
         
            +
                  "special": false
         
     | 
| 204 | 
         
            +
                },
         
     | 
| 205 | 
         
            +
                "151668": {
         
     | 
| 206 | 
         
            +
                  "content": "</think>",
         
     | 
| 207 | 
         
            +
                  "lstrip": false,
         
     | 
| 208 | 
         
            +
                  "normalized": false,
         
     | 
| 209 | 
         
            +
                  "rstrip": false,
         
     | 
| 210 | 
         
            +
                  "single_word": false,
         
     | 
| 211 | 
         
            +
                  "special": false
         
     | 
| 212 | 
         
            +
                }
         
     | 
| 213 | 
         
            +
              },
         
     | 
| 214 | 
         
            +
              "additional_special_tokens": [
         
     | 
| 215 | 
         
            +
                "<|im_start|>",
         
     | 
| 216 | 
         
            +
                "<|im_end|>",
         
     | 
| 217 | 
         
            +
                "<|object_ref_start|>",
         
     | 
| 218 | 
         
            +
                "<|object_ref_end|>",
         
     | 
| 219 | 
         
            +
                "<|box_start|>",
         
     | 
| 220 | 
         
            +
                "<|box_end|>",
         
     | 
| 221 | 
         
            +
                "<|quad_start|>",
         
     | 
| 222 | 
         
            +
                "<|quad_end|>",
         
     | 
| 223 | 
         
            +
                "<|vision_start|>",
         
     | 
| 224 | 
         
            +
                "<|vision_end|>",
         
     | 
| 225 | 
         
            +
                "<|vision_pad|>",
         
     | 
| 226 | 
         
            +
                "<|image_pad|>",
         
     | 
| 227 | 
         
            +
                "<|video_pad|>"
         
     | 
| 228 | 
         
            +
              ],
         
     | 
| 229 | 
         
            +
              "bos_token": null,
         
     | 
| 230 | 
         
            +
              "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\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    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set content = message.content %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in message.content %}\n                {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n                {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {{- '<|im_start|>' + message.role }}\n        {% generation %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {%- if loop.last or (not loop.last and reasoning_content) %}\n                {{- '<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n            {%- else %}\n                {{- content }}\n            {%- endif %}\n        {%- else %}\n            {{- content }}\n        {%- endif %}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>' }}\n        {% endgeneration %}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first 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    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}",
         
     | 
| 231 | 
         
            +
              "clean_up_tokenization_spaces": false,
         
     | 
| 232 | 
         
            +
              "eos_token": "<|im_end|>",
         
     | 
| 233 | 
         
            +
              "errors": "replace",
         
     | 
| 234 | 
         
            +
              "extra_special_tokens": {},
         
     | 
| 235 | 
         
            +
              "model_max_length": 131072,
         
     | 
| 236 | 
         
            +
              "pad_token": "<|endoftext|>",
         
     | 
| 237 | 
         
            +
              "split_special_tokens": false,
         
     | 
| 238 | 
         
            +
              "tokenizer_class": "Qwen2Tokenizer",
         
     | 
| 239 | 
         
            +
              "unk_token": null
         
     | 
| 240 | 
         
            +
            }
         
     | 
    	
        vocab.json
    ADDED
    
    | 
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		See raw diff 
     | 
| 
         |