j05hr3d/Llama-3.2-3B-Instruct-C_M_T-AUX_INVERT-SEED999
j05hr3d/Llama-3.2-3B-Instruct-C_M_T-AUX_INVERT-SEED999 is a 3.2 billion parameter instruction-tuned causal language model, fine-tuned from Meta's Llama-3.2-3B-Instruct. This model was trained using SFT with TRL and is designed for general text generation tasks. With a context length of 32768 tokens, it offers robust performance for conversational AI and instruction following.
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Model Overview
This model, j05hr3d/Llama-3.2-3B-Instruct-C_M_T-AUX_INVERT-SEED999, is a specialized fine-tuned version of the meta-llama/Llama-3.2-3B-Instruct base model. It features 3.2 billion parameters and supports a substantial context length of 32768 tokens, making it suitable for processing longer prompts and generating extended responses.
Key Capabilities
- Instruction Following: Designed to accurately interpret and respond to user instructions, leveraging its instruction-tuned base.
- Text Generation: Capable of generating coherent and contextually relevant text for a variety of prompts.
- Fine-tuned with TRL: The model was trained using the Transformer Reinforcement Learning (TRL) library, indicating a focus on improving conversational quality and alignment.
Training Details
The fine-tuning process utilized Supervised Fine-Tuning (SFT) as its primary training procedure. The development environment included 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
Good For
- Conversational AI: Its instruction-tuned nature makes it well-suited for chatbots and interactive applications.
- General Purpose Text Generation: Can be used for tasks requiring creative writing, summarization, or question answering based on provided instructions.