j05hr3d/Llama-3.2-3B-Instruct-C_M_T_CT
j05hr3d/Llama-3.2-3B-Instruct-C_M_T_CT is a 3.2 billion parameter instruction-tuned causal language model, fine-tuned by j05hr3d from Meta's Llama-3.2-3B-Instruct. This model leverages SFT training for enhanced conversational capabilities, making it suitable for general-purpose instruction following and interactive text generation tasks. Its 32,768 token context length supports processing longer inputs and generating more extensive responses.
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Overview
This model, j05hr3d/Llama-3.2-3B-Instruct-C_M_T_CT, is a specialized fine-tuned version of Meta's Llama-3.2-3B-Instruct base model. Developed by j05hr3d, it has been trained using the Supervised Fine-Tuning (SFT) method via the TRL library, focusing on improving its instruction-following capabilities. With 3.2 billion parameters and a substantial context length of 32,768 tokens, it is designed to handle complex prompts and generate detailed, coherent responses.
Key Capabilities
- Instruction Following: Enhanced ability to understand and execute user instructions due to SFT training.
- Conversational AI: Optimized for interactive dialogue and generating human-like text in response to prompts.
- Extended Context Handling: Supports processing and generating text within a 32,768 token context window, allowing for more comprehensive interactions.
Good For
- General-purpose Chatbots: Ideal for applications requiring robust conversational abilities and instruction adherence.
- Content Generation: Suitable for generating various forms of text, from creative writing to informative responses, based on specific instructions.
- Prototyping and Development: A capable 3.2B parameter model for developers looking for a fine-tuned Llama variant with good instruction-following performance.