j05hr3d/Llama-3.2-1B-Instruct-C_M_T-SAM-RHO0_025
j05hr3d/Llama-3.2-1B-Instruct-C_M_T-SAM-RHO0_025 is a 1 billion parameter instruction-tuned language model, fine-tuned by j05hr3d from the meta-llama/Llama-3.2-1B-Instruct base model. This model was trained using Supervised Fine-Tuning (SFT) with the TRL framework. It is designed for general text generation tasks following instructions, leveraging its Llama-3.2 architecture and 32768 token context length.
Loading preview...
Model Overview
j05hr3d/Llama-3.2-1B-Instruct-C_M_T-SAM-RHO0_025 is a 1 billion parameter instruction-following language model. It is a fine-tuned variant of the meta-llama/Llama-3.2-1B-Instruct base model, developed by j05hr3d. The model leverages the Llama-3.2 architecture and supports a substantial context length of 32768 tokens, making it suitable for processing longer prompts and generating coherent, extended responses.
Training Details
This model was trained using Supervised Fine-Tuning (SFT) via the TRL library. The training process utilized specific framework versions including TRL 0.27.1, Transformers 4.57.6, Pytorch 2.10.0+cu128, Datasets 4.8.4, and Tokenizers 0.22.2. The training run can be visualized on Weights & Biases.
Key Capabilities
- Instruction Following: Designed to generate text based on user instructions.
- General Text Generation: Capable of producing diverse text outputs.
- Extended Context: Benefits from a 32768 token context window for more complex interactions.
Recommended Use Cases
This model is suitable for applications requiring a compact yet capable instruction-tuned LLM, such as:
- Chatbots and conversational AI.
- Content generation based on specific prompts.
- Prototyping and development where a smaller, efficient model is preferred.