j05hr3d/Llama-3.2-3B-Instruct-C_M_T-AUX_CT_CE_CM-SEED999
j05hr3d/Llama-3.2-3B-Instruct-C_M_T-AUX_CT_CE_CM-SEED999 is a 3.2 billion parameter instruction-tuned causal language model, fine-tuned by j05hr3d from the Meta Llama-3.2-3B-Instruct base model. Trained using the TRL framework, this model is designed for general instruction-following tasks. Its 32768 token context length supports processing extensive prompts and generating detailed responses.
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Overview
This model, j05hr3d/Llama-3.2-3B-Instruct-C_M_T-AUX_CT_CE_CM-SEED999, is an instruction-tuned variant of the Meta Llama-3.2-3B-Instruct base model. It features 3.2 billion parameters and a substantial context length of 32768 tokens, enabling it to handle complex and lengthy conversational inputs.
Key Capabilities
- Instruction Following: Optimized for understanding and executing a wide range of user instructions.
- Extended Context: Benefits from a 32768 token context window, allowing for more coherent and contextually aware responses over longer interactions.
- TRL Fine-tuning: Developed using the TRL (Transformer Reinforcement Learning) framework, indicating a focus on improving conversational quality and alignment.
Training Details
The model was fine-tuned using Supervised Fine-Tuning (SFT) with the TRL framework (version 0.27.1). This process aims to enhance its ability to follow instructions and generate relevant, high-quality text based on prompts. The training environment utilized Transformers 4.57.6, Pytorch 2.10.0+cu128, Datasets 4.8.4, and Tokenizers 0.22.2.