Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) OpenMath-Mistral-7B-v0.1-hf - GGUF - Model creator: https://huggingface.co/nvidia/ - Original model: https://huggingface.co/nvidia/OpenMath-Mistral-7B-v0.1-hf/ | Name | Quant method | Size | | ---- | ---- | ---- | | [OpenMath-Mistral-7B-v0.1-hf.Q2_K.gguf](https://huggingface.co/RichardErkhov/nvidia_-_OpenMath-Mistral-7B-v0.1-hf-gguf/blob/main/OpenMath-Mistral-7B-v0.1-hf.Q2_K.gguf) | Q2_K | 2.53GB | | [OpenMath-Mistral-7B-v0.1-hf.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/nvidia_-_OpenMath-Mistral-7B-v0.1-hf-gguf/blob/main/OpenMath-Mistral-7B-v0.1-hf.IQ3_XS.gguf) | IQ3_XS | 2.81GB | | [OpenMath-Mistral-7B-v0.1-hf.IQ3_S.gguf](https://huggingface.co/RichardErkhov/nvidia_-_OpenMath-Mistral-7B-v0.1-hf-gguf/blob/main/OpenMath-Mistral-7B-v0.1-hf.IQ3_S.gguf) | IQ3_S | 2.96GB | | [OpenMath-Mistral-7B-v0.1-hf.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/nvidia_-_OpenMath-Mistral-7B-v0.1-hf-gguf/blob/main/OpenMath-Mistral-7B-v0.1-hf.Q3_K_S.gguf) | Q3_K_S | 2.95GB | | [OpenMath-Mistral-7B-v0.1-hf.IQ3_M.gguf](https://huggingface.co/RichardErkhov/nvidia_-_OpenMath-Mistral-7B-v0.1-hf-gguf/blob/main/OpenMath-Mistral-7B-v0.1-hf.IQ3_M.gguf) | IQ3_M | 3.06GB | | [OpenMath-Mistral-7B-v0.1-hf.Q3_K.gguf](https://huggingface.co/RichardErkhov/nvidia_-_OpenMath-Mistral-7B-v0.1-hf-gguf/blob/main/OpenMath-Mistral-7B-v0.1-hf.Q3_K.gguf) | Q3_K | 3.28GB | | [OpenMath-Mistral-7B-v0.1-hf.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/nvidia_-_OpenMath-Mistral-7B-v0.1-hf-gguf/blob/main/OpenMath-Mistral-7B-v0.1-hf.Q3_K_M.gguf) | Q3_K_M | 3.28GB | | [OpenMath-Mistral-7B-v0.1-hf.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/nvidia_-_OpenMath-Mistral-7B-v0.1-hf-gguf/blob/main/OpenMath-Mistral-7B-v0.1-hf.Q3_K_L.gguf) | Q3_K_L | 3.56GB | | [OpenMath-Mistral-7B-v0.1-hf.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/nvidia_-_OpenMath-Mistral-7B-v0.1-hf-gguf/blob/main/OpenMath-Mistral-7B-v0.1-hf.IQ4_XS.gguf) | IQ4_XS | 3.67GB | | [OpenMath-Mistral-7B-v0.1-hf.Q4_0.gguf](https://huggingface.co/RichardErkhov/nvidia_-_OpenMath-Mistral-7B-v0.1-hf-gguf/blob/main/OpenMath-Mistral-7B-v0.1-hf.Q4_0.gguf) | Q4_0 | 3.83GB | | [OpenMath-Mistral-7B-v0.1-hf.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/nvidia_-_OpenMath-Mistral-7B-v0.1-hf-gguf/blob/main/OpenMath-Mistral-7B-v0.1-hf.IQ4_NL.gguf) | IQ4_NL | 3.87GB | | [OpenMath-Mistral-7B-v0.1-hf.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/nvidia_-_OpenMath-Mistral-7B-v0.1-hf-gguf/blob/main/OpenMath-Mistral-7B-v0.1-hf.Q4_K_S.gguf) | Q4_K_S | 3.86GB | | [OpenMath-Mistral-7B-v0.1-hf.Q4_K.gguf](https://huggingface.co/RichardErkhov/nvidia_-_OpenMath-Mistral-7B-v0.1-hf-gguf/blob/main/OpenMath-Mistral-7B-v0.1-hf.Q4_K.gguf) | Q4_K | 4.07GB | | [OpenMath-Mistral-7B-v0.1-hf.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/nvidia_-_OpenMath-Mistral-7B-v0.1-hf-gguf/blob/main/OpenMath-Mistral-7B-v0.1-hf.Q4_K_M.gguf) | Q4_K_M | 4.07GB | | [OpenMath-Mistral-7B-v0.1-hf.Q4_1.gguf](https://huggingface.co/RichardErkhov/nvidia_-_OpenMath-Mistral-7B-v0.1-hf-gguf/blob/main/OpenMath-Mistral-7B-v0.1-hf.Q4_1.gguf) | Q4_1 | 4.24GB | | [OpenMath-Mistral-7B-v0.1-hf.Q5_0.gguf](https://huggingface.co/RichardErkhov/nvidia_-_OpenMath-Mistral-7B-v0.1-hf-gguf/blob/main/OpenMath-Mistral-7B-v0.1-hf.Q5_0.gguf) | Q5_0 | 4.65GB | | [OpenMath-Mistral-7B-v0.1-hf.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/nvidia_-_OpenMath-Mistral-7B-v0.1-hf-gguf/blob/main/OpenMath-Mistral-7B-v0.1-hf.Q5_K_S.gguf) | Q5_K_S | 4.65GB | | [OpenMath-Mistral-7B-v0.1-hf.Q5_K.gguf](https://huggingface.co/RichardErkhov/nvidia_-_OpenMath-Mistral-7B-v0.1-hf-gguf/blob/main/OpenMath-Mistral-7B-v0.1-hf.Q5_K.gguf) | Q5_K | 4.78GB | | [OpenMath-Mistral-7B-v0.1-hf.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/nvidia_-_OpenMath-Mistral-7B-v0.1-hf-gguf/blob/main/OpenMath-Mistral-7B-v0.1-hf.Q5_K_M.gguf) | Q5_K_M | 4.78GB | | [OpenMath-Mistral-7B-v0.1-hf.Q5_1.gguf](https://huggingface.co/RichardErkhov/nvidia_-_OpenMath-Mistral-7B-v0.1-hf-gguf/blob/main/OpenMath-Mistral-7B-v0.1-hf.Q5_1.gguf) | Q5_1 | 5.07GB | | [OpenMath-Mistral-7B-v0.1-hf.Q6_K.gguf](https://huggingface.co/RichardErkhov/nvidia_-_OpenMath-Mistral-7B-v0.1-hf-gguf/blob/main/OpenMath-Mistral-7B-v0.1-hf.Q6_K.gguf) | Q6_K | 5.53GB | | [OpenMath-Mistral-7B-v0.1-hf.Q8_0.gguf](https://huggingface.co/RichardErkhov/nvidia_-_OpenMath-Mistral-7B-v0.1-hf-gguf/blob/main/OpenMath-Mistral-7B-v0.1-hf.Q8_0.gguf) | Q8_0 | 7.17GB | Original model description: --- license: apache-2.0 base_model: - mistralai/Mistral-7B-v0.1 datasets: - nvidia/OpenMathInstruct-1 language: - en tags: - nvidia - code - math --- # OpenMath-Mistral-7B-v0.1-hf OpenMath models were designed to solve mathematical problems by integrating text-based reasoning with code blocks executed by Python interpreter. The models were trained on [OpenMathInstruct-1](https://huggingface.co/datasets/nvidia/OpenMathInstruct-1), a math instruction tuning dataset with 1.8M problem-solution pairs generated using permissively licensed [Mixtral-8x7B](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) model.
greedy | majority@50 | |||
model | GSM8K | MATH | GMS8K | MATH |
OpenMath-CodeLlama-7B (nemo | HF) | 75.9 | 43.6 | 84.8 | 55.6 |
OpenMath-Mistral-7B (nemo | HF) | 80.2 | 44.5 | 86.9 | 57.2 |
OpenMath-CodeLlama-13B (nemo | HF) | 78.8 | 45.5 | 86.8 | 57.6 |
OpenMath-CodeLlama-34B (nemo | HF) | 80.7 | 48.3 | 88.0 | 60.2 |
OpenMath-Llama2-70B (nemo | HF) | 84.7 | 46.3 | 90.1 | 58.3 |
OpenMath-CodeLlama-70B (nemo | HF) | 84.6 | 50.7 | 90.8 | 60.4 |