j05hr3d/Llama-3.2-1B-Instruct-C_M_T
j05hr3d/Llama-3.2-1B-Instruct-C_M_T is a 1 billion parameter instruction-tuned causal language model, fine-tuned by j05hr3d from the Meta Llama-3.2-1B-Instruct base model. This model leverages a 32768 token context length and is optimized for general text generation tasks following instructions. It was trained using SFT with the TRL framework, making it suitable for applications requiring responsive and coherent conversational AI.
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Model Overview
j05hr3d/Llama-3.2-1B-Instruct-C_M_T is a 1 billion parameter instruction-tuned language model, derived from the Meta Llama-3.2-1B-Instruct base. This model has been specifically fine-tuned by j05hr3d using Supervised Fine-Tuning (SFT) with the TRL library, enhancing its ability to follow instructions and generate coherent text. It supports a substantial context length of 32768 tokens, allowing for processing and generating longer sequences of text.
Key Capabilities
- Instruction Following: Optimized through SFT to better understand and execute user instructions.
- Text Generation: Capable of generating diverse and contextually relevant text based on prompts.
- Extended Context: Benefits from a 32768 token context window, useful for complex or lengthy interactions.
Training Details
The model's training process utilized SFT, with the run details available for visualization on Weights & Biases. The training environment included TRL 0.27.1, Transformers 4.57.6, Pytorch 2.10.0+cu128, Datasets 4.8.4, and Tokenizers 0.22.2.
Good For
- Applications requiring a compact yet capable instruction-tuned model.
- General conversational AI and chatbot development.
- Tasks benefiting from a larger context window for understanding and generating responses.