Model Overview

The simonlesaumon/Mistral-NeMo-12B-Unslopper-FR-v1 is a 12 billion parameter language model based on the Mistral-NeMo architecture. It has been instruction-tuned and converted into the GGUF format, making it suitable for efficient deployment on various hardware.

Key Features

• Architecture: Mistral-NeMo 12B.
• Context Length: Supports a substantial context window of 32768 tokens.
• Efficient Training: Fine-tuned using Unsloth, which enabled 2x faster training.
• GGUF Format: Provided in GGUF format, specifically mistral-nemo-instruct-2407.Q4_K_M.gguf, for compatibility with llama.cpp.
• Ollama Support: Includes an Ollama Modelfile for simplified deployment and usage.

Intended Use Cases

This model is well-suited for applications requiring a capable French-language LLM that can be run efficiently on consumer-grade hardware. Its GGUF format and Ollama support facilitate easy integration into local inference setups for tasks such as:

• General text generation.
• Instruction following.
• Chatbot applications.
• Content creation in French.