j05hr3d/Llama-3.2-1B-Instruct-C_M_T-SAM-AUX_CT_CE-RHO0_05
j05hr3d/Llama-3.2-1B-Instruct-C_M_T-SAM-AUX_CT_CE-RHO0_05 is a 1 billion parameter instruction-tuned causal language model, fine-tuned from meta-llama/Llama-3.2-1B-Instruct. Developed by j05hr3d, this model was trained using the TRL library. It is designed for general text generation tasks, leveraging its instruction-tuned base for conversational and prompt-based applications.
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Model Overview
This model, j05hr3d/Llama-3.2-1B-Instruct-C_M_T-SAM-AUX_CT_CE-RHO0_05, 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.
Key Characteristics
- Base Model: Built upon the Llama-3.2-1B-Instruct architecture from Meta.
- Training Method: Fine-tuned using the TRL (Transformer Reinforcement Learning) library, specifically employing Supervised Fine-Tuning (SFT).
- Context Length: Supports a context length of 32768 tokens.
Intended Use Cases
This model is suitable for various text generation tasks where an instruction-following capability is beneficial. Its 1 billion parameter size makes it a lightweight option for applications requiring efficient inference. Developers can use it for:
- Answering questions based on provided prompts.
- Generating creative text or continuations.
- Engaging in basic conversational interactions.