j05hr3d/Llama-3.2-1B-Instruct-C_M_T-1EP
j05hr3d/Llama-3.2-1B-Instruct-C_M_T-1EP is a 1 billion parameter instruction-tuned causal language model, fine-tuned by j05hr3d from the meta-llama/Llama-3.2-1B-Instruct base model. This model leverages a 32768 token context length and was trained using the TRL framework. It is designed for general text generation tasks following instructions.
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Overview
This model, j05hr3d/Llama-3.2-1B-Instruct-C_M_T-1EP, is a 1 billion parameter instruction-tuned language model. It is a fine-tuned variant of the meta-llama/Llama-3.2-1B-Instruct base model, developed by j05hr3d. The model was trained using the TRL (Transformer Reinforcement Learning) framework, specifically employing Supervised Fine-Tuning (SFT).
Key Capabilities
- Instruction Following: Designed to generate text based on user instructions.
- Text Generation: Capable of producing coherent and contextually relevant text.
- Base Model: Built upon the Llama-3.2-1B-Instruct architecture, inheriting its foundational language understanding.
Training Details
The model's training utilized TRL version 0.27.1, Transformers version 4.57.6, Pytorch 2.10.0+cu128, Datasets 4.8.4, and Tokenizers 0.22.2. The training process can be visualized via Weights & Biases, as indicated in the original model card.