j05hr3d/Llama-3.2-1B-Instruct-C_M_T-AUX_CT_CE_CM
j05hr3d/Llama-3.2-1B-Instruct-C_M_T-AUX_CT_CE_CM 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 was trained using the TRL library with Supervised Fine-Tuning (SFT) and features a 32768 token context length. It is designed for general instruction-following tasks, leveraging its fine-tuned capabilities for conversational AI and text generation.
Loading preview...
Model Overview
j05hr3d/Llama-3.2-1B-Instruct-C_M_T-AUX_CT_CE_CM is a 1 billion parameter instruction-tuned model, building upon the meta-llama/Llama-3.2-1B-Instruct base. It has been specifically fine-tuned using the TRL library with a Supervised Fine-Tuning (SFT) approach. This model maintains a substantial context length of 32768 tokens, making it suitable for processing longer inputs and generating coherent, extended responses.
Key Capabilities
- Instruction Following: Optimized for understanding and executing user instructions effectively.
- Text Generation: Capable of generating diverse and contextually relevant text based on prompts.
- Conversational AI: Suitable for dialogue systems and interactive applications due to its instruction-tuned nature.
Training Details
The model's training leveraged TRL version 0.27.1, Transformers 4.57.6, Pytorch 2.10.0+cu128, Datasets 4.8.4, and Tokenizers 0.22.2. The training process was tracked and can be visualized via Weights & Biases.
Good For
- Applications requiring a compact yet capable instruction-following model.
- Scenarios where a balance between model size and performance on general conversational tasks is crucial.
- Developers looking for a fine-tuned Llama-3.2 variant with SFT enhancements.