j05hr3d/Llama-3.2-3B-Instruct-C_M_T-SEED1001
j05hr3d/Llama-3.2-3B-Instruct-C_M_T-SEED1001 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 with a context length of 32768 tokens. It is designed for general instruction-following tasks, leveraging its base Llama 3.2 architecture for conversational applications.
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Model Overview
j05hr3d/Llama-3.2-3B-Instruct-C_M_T-SEED1001 is an instruction-tuned language model based on the meta-llama/Llama-3.2-3B-Instruct architecture. This model features 3.2 billion parameters and supports a substantial context length of 32768 tokens, making it suitable for processing longer prompts and generating more extensive responses.
Training Details
The model was fine-tuned using the TRL library (Transformer Reinforcement Learning) through a Supervised Fine-Tuning (SFT) process. The training utilized specific versions of key frameworks:
- TRL: 0.27.1
- Transformers: 4.57.6
- Pytorch: 2.10.0+cu128
- Datasets: 4.8.4
- Tokenizers: 0.22.2
Key Capabilities
- Instruction Following: Designed to respond effectively to user instructions and queries.
- Extended Context: Benefits from a 32768-token context window, allowing for more detailed conversations and information processing.
- Base Model Heritage: Leverages the robust capabilities of the Llama 3.2 series for general language understanding and generation.
Good For
- Conversational AI: Suitable for chatbots and interactive applications requiring instruction-based responses.
- Text Generation: Can be used for generating coherent and contextually relevant text based on prompts.
- Research and Development: Provides a fine-tuned Llama 3.2 variant for further experimentation and application development.