--- 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 --- [![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory) # QuantFactory/Ministral-4b-instruct-GGUF This is quantized version of [ministral/Ministral-4b-instruct](https://huggingface.co/ministral/Ministral-4b-instruct) created using llama.cpp # Original Model Card ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642b04e4ecec03b44649e318/AeJJFLB8s_wIaCKpNfac1.jpeg) ### Model Description Ministral is a series of language model, build with same architecture as the famous Mistral model, but with less size. - **Model type:** A 4B 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)