| library_name: transformers | |
| inference: | |
| parameters: | |
| temperature: 1 | |
| top_p: 0.95 | |
| top_k: 40 | |
| repetition_penalty: 1.2 | |
| license: apache-2.0 | |
| language: | |
| - en | |
| pipeline_tag: text-generation | |
| [](https://hf.co/QuantFactory) | |
| # QuantFactory/Ministral-3b-instruct-GGUF | |
| This is quantized version of [ministral/Ministral-3b-instruct](https://huggingface.co/ministral/Ministral-3b-instruct) created using llama.cpp | |
| # Original Model Card | |
|  | |
| ### Model Description | |
| <!-- Provide a longer summary of what this model is. --> | |
| Ministral is a series of language model, build with same architecture as the famous Mistral model, but with less size. | |
| - **Model type:** A 3B parameter GPT-like model fine-tuned on a mix of publicly available, synthetic datasets. | |
| - **Language(s) (NLP):** Primarily English | |
| - **License:** Apache 2.0 | |
| - **Finetuned from model:** [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) | |