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.