Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) ReflectionCoder-CL-34B - GGUF - Model creator: https://huggingface.co/SenseLLM/ - Original model: https://huggingface.co/SenseLLM/ReflectionCoder-CL-34B/ | Name | Quant method | Size | | ---- | ---- | ---- | | [ReflectionCoder-CL-34B.Q2_K.gguf](https://huggingface.co/RichardErkhov/SenseLLM_-_ReflectionCoder-CL-34B-gguf/blob/main/ReflectionCoder-CL-34B.Q2_K.gguf) | Q2_K | 11.65GB | | [ReflectionCoder-CL-34B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/SenseLLM_-_ReflectionCoder-CL-34B-gguf/blob/main/ReflectionCoder-CL-34B.Q3_K_S.gguf) | Q3_K_S | 13.6GB | | [ReflectionCoder-CL-34B.Q3_K.gguf](https://huggingface.co/RichardErkhov/SenseLLM_-_ReflectionCoder-CL-34B-gguf/blob/main/ReflectionCoder-CL-34B.Q3_K.gguf) | Q3_K | 15.19GB | | [ReflectionCoder-CL-34B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/SenseLLM_-_ReflectionCoder-CL-34B-gguf/blob/main/ReflectionCoder-CL-34B.Q3_K_M.gguf) | Q3_K_M | 15.19GB | | [ReflectionCoder-CL-34B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/SenseLLM_-_ReflectionCoder-CL-34B-gguf/blob/main/ReflectionCoder-CL-34B.Q3_K_L.gguf) | Q3_K_L | 16.55GB | | [ReflectionCoder-CL-34B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/SenseLLM_-_ReflectionCoder-CL-34B-gguf/blob/main/ReflectionCoder-CL-34B.IQ4_XS.gguf) | IQ4_XS | 16.99GB | | [ReflectionCoder-CL-34B.Q4_0.gguf](https://huggingface.co/RichardErkhov/SenseLLM_-_ReflectionCoder-CL-34B-gguf/blob/main/ReflectionCoder-CL-34B.Q4_0.gguf) | Q4_0 | 17.74GB | | [ReflectionCoder-CL-34B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/SenseLLM_-_ReflectionCoder-CL-34B-gguf/blob/main/ReflectionCoder-CL-34B.IQ4_NL.gguf) | IQ4_NL | 17.92GB | | [ReflectionCoder-CL-34B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/SenseLLM_-_ReflectionCoder-CL-34B-gguf/blob/main/ReflectionCoder-CL-34B.Q4_K_S.gguf) | Q4_K_S | 17.87GB | | [ReflectionCoder-CL-34B.Q4_K.gguf](https://huggingface.co/RichardErkhov/SenseLLM_-_ReflectionCoder-CL-34B-gguf/blob/main/ReflectionCoder-CL-34B.Q4_K.gguf) | Q4_K | 18.83GB | | [ReflectionCoder-CL-34B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/SenseLLM_-_ReflectionCoder-CL-34B-gguf/blob/main/ReflectionCoder-CL-34B.Q4_K_M.gguf) | Q4_K_M | 18.83GB | | [ReflectionCoder-CL-34B.Q4_1.gguf](https://huggingface.co/RichardErkhov/SenseLLM_-_ReflectionCoder-CL-34B-gguf/blob/main/ReflectionCoder-CL-34B.Q4_1.gguf) | Q4_1 | 19.69GB | | [ReflectionCoder-CL-34B.Q5_0.gguf](https://huggingface.co/RichardErkhov/SenseLLM_-_ReflectionCoder-CL-34B-gguf/blob/main/ReflectionCoder-CL-34B.Q5_0.gguf) | Q5_0 | 21.64GB | | [ReflectionCoder-CL-34B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/SenseLLM_-_ReflectionCoder-CL-34B-gguf/blob/main/ReflectionCoder-CL-34B.Q5_K_S.gguf) | Q5_K_S | 21.64GB | | [ReflectionCoder-CL-34B.Q5_K.gguf](https://huggingface.co/RichardErkhov/SenseLLM_-_ReflectionCoder-CL-34B-gguf/blob/main/ReflectionCoder-CL-34B.Q5_K.gguf) | Q5_K | 22.2GB | | [ReflectionCoder-CL-34B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/SenseLLM_-_ReflectionCoder-CL-34B-gguf/blob/main/ReflectionCoder-CL-34B.Q5_K_M.gguf) | Q5_K_M | 22.2GB | | [ReflectionCoder-CL-34B.Q5_1.gguf](https://huggingface.co/RichardErkhov/SenseLLM_-_ReflectionCoder-CL-34B-gguf/blob/main/ReflectionCoder-CL-34B.Q5_1.gguf) | Q5_1 | 23.59GB | | [ReflectionCoder-CL-34B.Q6_K.gguf](https://huggingface.co/RichardErkhov/SenseLLM_-_ReflectionCoder-CL-34B-gguf/blob/main/ReflectionCoder-CL-34B.Q6_K.gguf) | Q6_K | 25.78GB | | [ReflectionCoder-CL-34B.Q8_0.gguf](https://huggingface.co/RichardErkhov/SenseLLM_-_ReflectionCoder-CL-34B-gguf/blob/main/ReflectionCoder-CL-34B.Q8_0.gguf) | Q8_0 | 33.39GB | Original model description: --- license: apache-2.0 datasets: - SenseLLM/ReflectionSeq-GPT - SenseLLM/ReflectionSeq-DS language: - en --- ## ReflectionCoder: Learning from Reflection Sequence for Enhanced One-off Code Generation
📄 Paper • 🏠 Repo • 🤖 Models • 📚 Datasets
## Introduction 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! ![](method.png)