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--- |
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license: apache-2.0 |
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datasets: |
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- SenseLLM/ReflectionSeq-GPT |
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- SenseLLM/ReflectionSeq-DS |
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language: |
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- en |
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--- |
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**Exllamav2** quant (**exl2** / **2.2 bpw**) made with ExLlamaV2 v0.1.1 |
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Other EXL2 quants: |
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| **Quant** | **Model Size** | **lm_head** | |
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| ----- | ---------- | ------- | |
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|<center>**[2.2](https://huggingface.co/Zoyd/SenseLLM_ReflectionCoder-DS-6.7B-2_2bpw_exl2)**</center> | <center>2055 MB</center> | <center>6</center> | |
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|<center>**[2.5](https://huggingface.co/Zoyd/SenseLLM_ReflectionCoder-DS-6.7B-2_5bpw_exl2)**</center> | <center>2276 MB</center> | <center>6</center> | |
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|<center>**[3.0](https://huggingface.co/Zoyd/SenseLLM_ReflectionCoder-DS-6.7B-3_0bpw_exl2)**</center> | <center>2665 MB</center> | <center>6</center> | |
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|<center>**[3.5](https://huggingface.co/Zoyd/SenseLLM_ReflectionCoder-DS-6.7B-3_5bpw_exl2)**</center> | <center>3051 MB</center> | <center>6</center> | |
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|<center>**[3.75](https://huggingface.co/Zoyd/SenseLLM_ReflectionCoder-DS-6.7B-3_75bpw_exl2)**</center> | <center>3245 MB</center> | <center>6</center> | |
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|<center>**[4.0](https://huggingface.co/Zoyd/SenseLLM_ReflectionCoder-DS-6.7B-4_0bpw_exl2)**</center> | <center>3437 MB</center> | <center>6</center> | |
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|<center>**[4.25](https://huggingface.co/Zoyd/SenseLLM_ReflectionCoder-DS-6.7B-4_25bpw_exl2)**</center> | <center>3630 MB</center> | <center>6</center> | |
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|<center>**[5.0](https://huggingface.co/Zoyd/SenseLLM_ReflectionCoder-DS-6.7B-5_0bpw_exl2)**</center> | <center>4208 MB</center> | <center>6</center> | |
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|<center>**[6.0](https://huggingface.co/Zoyd/SenseLLM_ReflectionCoder-DS-6.7B-6_0bpw_exl2)**</center> | <center>5000 MB</center> | <center>8</center> | |
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|<center>**[6.5](https://huggingface.co/Zoyd/SenseLLM_ReflectionCoder-DS-6.7B-6_5bpw_exl2)**</center> | <center>5388 MB</center> | <center>8</center> | |
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|<center>**[8.0](https://huggingface.co/Zoyd/SenseLLM_ReflectionCoder-DS-6.7B-8_0bpw_exl2)**</center> | <center>6232 MB</center> | <center>8</center> | |
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## ReflectionCoder: Learning from Reflection Sequence for Enhanced One-off Code Generation |
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<p align="center"> |
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<a href="https://arxiv.org/abs/2405.17057">📄 Paper</a> • |
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<a href="https://github.com/SenseLLM/ReflectionCoder">🏠 Repo</a> • |
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<a href="https://huggingface.co/SenseLLM/ReflectionCoder-DS-33B">🤖 Models</a> • |
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<a href="https://huggingface.co/datasets/SenseLLM/ReflectionSeq-GPT">📚 Datasets </a> |
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</p> |
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## Introduction |
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ReflectionCoder is a novel approach that effectively leverages reflection sequences constructed by integrating compiler feedback to improve one-off code generation performance. Please refer to our paper and repo for more details! |
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<hr> |
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## Models |
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| Model | Checkpoint | Size | HumanEval (+) | MBPP (+) | License| |
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|:-------|:------------|:------|:---------------|:----------|:--------| |
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| ReflectionCoder-CL-7B | 🤗 [HF Link](https://huggingface.co/SenseLLM/ReflectionCoder-CL-7B) | 7B | 75.0 (68.9) | 72.2 (61.4) | [Llama2](https://ai.meta.com/llama/license/) | |
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| ReflectionCoder-CL-34B | 🤗 [HF Link](https://huggingface.co/SenseLLM/ReflectionCoder-CL-34B) | 34B | 70.7 (66.5) | 68.4 (56.6) | [Llama2](https://ai.meta.com/llama/license/) | |
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| ReflectionCoder-DS-6.7B | 🤗 [HF Link](https://huggingface.co/SenseLLM/ReflectionCoder-DS-6.7B) | 6.7B | 80.5 (74.4) | 81.5 (69.6) | [DeepSeek](https://github.com/deepseek-ai/DeepSeek-Coder/blob/main/LICENSE-MODEL) | |
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| ReflectionCoder-DS-33B | 🤗 [HF Link](https://huggingface.co/SenseLLM/ReflectionCoder-DS-33B) | 33B | 82.9 (76.8) | 84.1 (72.0) | [DeepSeek](https://github.com/deepseek-ai/DeepSeek-Coder/blob/main/LICENSE-MODEL) | |
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## Datasets |
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| Dataset | Link | License | |
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|:-------------------|:----------------|:----------------------------------------------| |
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| ReflectionSeq-GPT | 🤗 [HF Link](https://huggingface.co/datasets/SenseLLM/ReflectionSeq-GPT) | [License](LICENSE) | |
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| ReflectionSeq-DS | 🤗 [HF Link](https://huggingface.co/datasets/SenseLLM/ReflectionSeq-DS) | [License](LICENSE) | |
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## How to Use |
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#### Chat Format |
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Following chat templates of most models, we use two special tokens to wrap the message of user and assistant, *i.e.*, ``<|user|>``, ``<|assistant|>``, and ``<|endofmessage|>``. Furthermore, we use two special tokens to wrap the content of different blocks, *i.e.*, ``<|text|>`` and ``<|endofblock|>``. You can use the following template to prompt our ReflectionCoder. |
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```python |
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<|user|><|text|> |
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Your Instruction |
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<|endofblock|><|endofmessage|><|assistant|> |
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``` |
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#### Inference Code |
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Please refer to our [GitHub Repo](https://github.com/SenseLLM/ReflectionCoder) for more technical details. |
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## Citation |
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If you find this repo useful for your research, please kindly cite our paper: |
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``` |
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@misc{ren2024reflectioncoder, |
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title={ReflectionCoder: Learning from Reflection Sequence for Enhanced One-off Code Generation}, |
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author={Houxing Ren and Mingjie Zhan and Zhongyuan Wu and Aojun Zhou and Junting Pan and Hongsheng Li}, |
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year={2024}, |
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eprint={2405.17057}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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``` |
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## Acknowledgments |
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We thank the following amazing projects that truly inspired us: |
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- [CodeLlama](https://ai.meta.com/research/publications/code-llama-open-foundation-models-for-code/) |
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- [DeepSeek-Coder](https://github.com/deepseek-ai/DeepSeek-Coder) |
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- [WizardCoder](https://github.com/nlpxucan/WizardLM/tree/main/WizardCoder) |
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- [Evol-CodeAlpaca-v1](https://huggingface.co/datasets/theblackcat102/evol-codealpaca-v1) |
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- [MagiCoder](https://github.com/ise-uiuc/magicoder/tree/main) |
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- [EvalPlus](https://github.com/evalplus/evalplus) |
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- [OpenCoderInterpreter](https://github.com/OpenCodeInterpreter/OpenCodeInterpreter/tree/main) |
