stefra/mistral_ablazione_full
stefra/mistral_ablazione_full is a 7 billion parameter Mistral-based causal language model developed by stefra, fine-tuned from unsloth/mistral-7b-instruct-v0.3-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. It is designed for general instruction-following tasks, leveraging its Mistral architecture and 4096 token context length.
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Model Overview
stefra/mistral_ablazione_full is a 7 billion parameter instruction-tuned language model developed by stefra. It is based on the Mistral architecture, specifically fine-tuned from unsloth/mistral-7b-instruct-v0.3-bnb-4bit.
Key Characteristics
- Architecture: Mistral-7B base model.
- Parameter Count: 7 billion parameters.
- Context Length: Supports a context window of 4096 tokens.
- Training Method: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
Use Cases
This model is suitable for a variety of general instruction-following tasks, benefiting from its Mistral foundation and efficient fine-tuning. Its optimized training process suggests potential for applications where rapid iteration or deployment of instruction-tuned models is beneficial.