Aravindaa607/Last_mixed_to_tamil_model_merged
Aravindaa607/Last_mixed_to_tamil_model_merged is a 3.2 billion parameter Llama-based instruction-tuned language model developed by Aravindaa607. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. This model is specifically optimized for tasks requiring a Llama-3.2-3B-Instruct base, with a context length of 32768 tokens.
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Overview
Aravindaa607/Last_mixed_to_tamil_model_merged is a 3.2 billion parameter instruction-tuned language model. Developed by Aravindaa607, this model is based on the Llama architecture, specifically fine-tuned from unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit.
Key Characteristics
- Architecture: Llama-based, fine-tuned from a Llama-3.2-3B-Instruct variant.
- Parameter Count: 3.2 billion parameters.
- Context Length: Supports a substantial context window of 32768 tokens.
- Training Methodology: The model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
Use Cases
This model is suitable for applications that benefit from a compact yet capable Llama-based instruction-tuned model. Its efficient training process suggests potential for rapid iteration and deployment in scenarios where a 3.2 billion parameter model with a large context window is appropriate.