j05hr3d/Llama-3.2-3B-Instruct-C_M_T-SAM_RHO0_02-SEED999
j05hr3d/Llama-3.2-3B-Instruct-C_M_T-SAM_RHO0_02-SEED999 is a 3.2 billion parameter instruction-tuned causal language model, fine-tuned from meta-llama/Llama-3.2-3B-Instruct. This model was trained using the TRL library, specializing in conversational AI and instruction following. With a context length of 32768 tokens, it is designed for generating coherent and contextually relevant text based on user prompts.
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Model Overview
This model, j05hr3d/Llama-3.2-3B-Instruct-C_M_T-SAM_RHO0_02-SEED999, is an instruction-tuned variant of the Meta Llama-3.2-3B-Instruct base model. It has been fine-tuned using the TRL (Transformer Reinforcement Learning) library, indicating an optimization for instruction-following and conversational capabilities. The training process involved Supervised Fine-Tuning (SFT).
Key Capabilities
- Instruction Following: Optimized to understand and respond to user instructions effectively.
- Text Generation: Capable of generating coherent and contextually appropriate text.
- Conversational AI: Suitable for dialogue systems and interactive applications due to its instruction-tuned nature.
- Extended Context: Supports a context length of 32768 tokens, allowing for processing longer prompts and maintaining context over extended interactions.
Training Details
The model was fine-tuned using the TRL library (version 0.27.1) with Transformers 4.57.6 and Pytorch 2.10.0+cu128. The training procedure utilized Supervised Fine-Tuning (SFT) to enhance its performance on instruction-based tasks. Further details on the training run can be visualized via Weights & Biases.