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README.md

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+
+---
+
+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
+
+<!-- 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 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)