chuolrdeng/mistral-nuer-thok-nath
The chuolrdeng/mistral-nuer-thok-nath is a 7 billion parameter Mistral-based causal language model developed by chuolrdeng. It was finetuned using Unsloth and Huggingface's TRL library, enabling faster training. This model is optimized for tasks benefiting from a Mistral 7B architecture with a 4096 token context length.
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Model Overview
The chuolrdeng/mistral-nuer-thok-nath is a 7 billion parameter language model based on the Mistral architecture. It was developed by chuolrdeng and finetuned from unsloth/mistral-7b-v0.3-bnb-4bit.
Key Characteristics
- Architecture: Mistral 7B
- Parameters: 7 billion
- Context Length: 4096 tokens
- Training: Finetuned using Unsloth and Huggingface's TRL library, which facilitated 2x faster training.
Intended Use Cases
This model is suitable for applications requiring a Mistral 7B-class model, particularly those where efficient finetuning methods like Unsloth were leveraged. It can be used for various natural language processing tasks, including text generation, summarization, and question answering, within its 4096 token context window.