TesNik369/mistral-7b-instruct-v0.2-bnb-4bit_tqa_tuned_seed_123
TesNik369/mistral-7b-instruct-v0.2-bnb-4bit_tqa_tuned_seed_123 is a 7 billion parameter Mistral-based instruction-tuned language model developed by TesNik369. This model is fine-tuned from unsloth/mistral-7b-instruct-v0.2-bnb-4bit and optimized for faster training using Unsloth and Huggingface's TRL library. It is designed for general instruction-following tasks, leveraging its 4096 token context length for efficient processing. The model is suitable for applications requiring a compact yet capable instruction-tuned LLM.
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Model Overview
TesNik369/mistral-7b-instruct-v0.2-bnb-4bit_tqa_tuned_seed_123 is a 7 billion parameter instruction-tuned language model developed by TesNik369. It is built upon the Mistral architecture and fine-tuned from the unsloth/mistral-7b-instruct-v0.2-bnb-4bit base model. This model leverages the Unsloth library for significantly faster training, specifically achieving a 2x speedup, in conjunction with Huggingface's TRL library.
Key Capabilities
- Instruction Following: Designed to accurately follow user instructions.
- Efficient Training: Benefits from Unsloth's optimizations for faster fine-tuning.
- Compact Size: A 7B parameter model, offering a balance between performance and resource efficiency.
Good For
- Applications requiring a capable instruction-tuned model with a smaller footprint.
- Scenarios where faster fine-tuning iterations are beneficial.
- General natural language understanding and generation tasks.