初始化项目，由ModelHub XC社区提供模型
Model: IIGroup/X-Coder-SFT-Qwen2.5-7B Source: Original Platform
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README.md
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---
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license: apache-2.0
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base_model:
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- Qwen/Qwen2.5-Coder-7B-Instruct
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datasets:
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- IIGroup/X-Coder-SFT-376k
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language:
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- en
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tags:
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- code
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- sft
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- competitive-programming
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---
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# X-Coder-SFT-Qwen2.5-7B
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X-Coder-SFT-Qwen2.5-7B is a code generation model fine-tuned on fully synthetic instruction data, designed for competitive programming tasks. It can serve as the foundation for subsequent RLVR training.
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## Model Description
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- **Base Model**: [Qwen/Qwen2.5-Coder-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct)
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- **Training Method**: Supervised Fine-Tuning (SFT)
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- **Training Data**: [IIGroup/X-Coder-SFT-376k](https://huggingface.co/datasets/IIGroup/X-Coder-SFT-376k)
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- **Parameters**: 7B
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## Training
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SFT training can be performed using various frameworks such as [ms-swift](https://github.com/modelscope/ms-swift), [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory), or [Megatron-LM](https://github.com/NVIDIA/Megatron-LM). For training details and code, please refer to the [X-Coder GitHub repository](https://github.com/JieWu02/X-Coder).
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### Training Hyperparameters
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| Parameter | Value |
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|-----------|-------|
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| Base Model | Qwen/Qwen2.5-Coder-7B-Instruct |
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| Training Type | Full Parameter |
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| Epochs | 8 |
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| Global Batch Size | 128 |
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| Learning Rate | 5e-5 |
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| Max Grad Norm | 1.0 |
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| Max Length | 32768 |
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| Torch Dtype | bfloat16 |
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| DeepSpeed | Zero3 Offload (80GB VRAM) / Zero2 (142GB VRAM) |
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| Packing | True (2x faster training, slightly worse performance) |
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## Performance on LiveCodeBench v5.
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## Recommended Inference Parameters
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| Parameter | Value |
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|-----------|-------|
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| temperature | 0.6 |
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| top_p | 0.95 |
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| top_k | 20 (or -1 to disable) |
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| max_new_tokens | 32768 |
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_name = "IIGroup/X-Coder-SFT-Qwen2.5-7B"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto")
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prompt = "Write a Python function to solve the two sum problem."
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inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
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outputs = model.generate(
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**inputs,
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max_new_tokens=32768,
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temperature=0.6,
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top_p=0.95,
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top_k=20,
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do_sample=True
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)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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## Related Models
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- **RL Model**: [IIGroup/X-Coder-RL-Qwen2.5-7B](https://huggingface.co/IIGroup/X-Coder-RL-Qwen2.5-7B) - RLVR trained version achieving 62.9 on LiveCodeBench
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## Citation
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```bibtex
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@misc{wu2026xcoderadvancingcompetitiveprogramming,
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title={X-Coder: Advancing Competitive Programming with Fully Synthetic Tasks, Solutions, and Tests},
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author={Jie Wu and Haoling Li and Xin Zhang and Jiani Guo and Jane Luo and Steven Liu and Yangyu Huang and Ruihang Chu and Scarlett Li and Yujiu Yang},
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year={2026},
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eprint={2601.06953},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2601.06953},
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}
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```
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## License
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This project is licensed under the Apache License 2.0.
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added_tokens.json
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0]['role'] == 'system' %}
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{{- messages[0]['content'] }}
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{%- else %}
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{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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{%- endif %}
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{{- "\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>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\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" }}
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{%- if messages[0]['role'] == 'system' %}
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{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
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{%- else %}
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{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{{- '<|im_start|>' + message.role }}
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{{- '\n' + message.content }}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '\n<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{{- tool_call.arguments | tojson }}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- message.content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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config.json
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"use_cache": false,
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"use_sliding_window": false,
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}
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||||
"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,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 32768,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
6152
trainer_state.json
Normal file
6152
trainer_state.json
Normal file
File diff suppressed because it is too large
Load Diff
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:9f5dea8d8c5f4234be8ff86a50a240bffb4568f8258427de2ba35f9d870b2b26
|
||||
size 8248
|
||||
BIN
vocab.json
(Stored with Git LFS)
Normal file
BIN
vocab.json
(Stored with Git LFS)
Normal file
Binary file not shown.
Reference in New Issue
Block a user