j05hr3d/Llama-3.2-3B-Instruct-C_M_T-SEED999
j05hr3d/Llama-3.2-3B-Instruct-C_M_T-SEED999 is a 3.2 billion parameter instruction-tuned causal language model, fine-tuned by j05hr3d from the Meta Llama-3.2-3B-Instruct base model. Utilizing a 32768 token context length, this model was trained using the TRL framework with SFT. Its primary use case is general text generation and instruction following, building upon the capabilities of its Llama-3.2 base.
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Overview
j05hr3d/Llama-3.2-3B-Instruct-C_M_T-SEED999 is an instruction-tuned language model, fine-tuned by j05hr3d from the Meta Llama-3.2-3B-Instruct base model. This 3.2 billion parameter model leverages a substantial 32768 token context window, making it suitable for tasks requiring longer input sequences. The fine-tuning process was conducted using the TRL (Transformer Reinforcement Learning) framework with Supervised Fine-Tuning (SFT) methods.
Key Capabilities
- Instruction Following: Designed to respond to user prompts and instructions effectively.
- General Text Generation: Capable of generating coherent and contextually relevant text.
- Extended Context Handling: Benefits from a 32768 token context length, allowing for processing and generating longer passages of text.
Good for
- Developers seeking a compact yet capable instruction-tuned model for various text generation tasks.
- Applications requiring a model with a relatively large context window for its parameter size.
- Experimentation with Llama-3.2 based models that have undergone specific fine-tuning.