kairawal/Llama-3.2-3B-Instruct-PT-SynthDolly-r16alpha128-E5-S3407
The kairawal/Llama-3.2-3B-Instruct-PT-SynthDolly-r16alpha128-E5-S3407 is a 3.2 billion parameter instruction-tuned Llama-3.2 model developed by kairawal. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. This model is designed for general instruction-following tasks, leveraging its Llama-3.2 architecture and a 32768 token context length.
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Model Overview
The kairawal/Llama-3.2-3B-Instruct-PT-SynthDolly-r16alpha128-E5-S3407 is a 3.2 billion parameter instruction-tuned language model. Developed by kairawal, this model is based on the Llama-3.2 architecture and features a substantial context length of 32768 tokens, allowing it to process extensive inputs and generate coherent, long-form responses.
Key Characteristics
- Architecture: Llama-3.2-3B-Instruct base model.
- Parameter Count: 3.2 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports a 32768 token context window, beneficial for tasks requiring deep contextual understanding.
- Training Efficiency: Fine-tuned using the Unsloth library in conjunction with Huggingface's TRL, which facilitated a 2x faster training process.
Intended Use Cases
This model is primarily suited for general instruction-following applications where a robust, instruction-tuned Llama-3.2 variant is desired. Its large context window makes it particularly effective for:
- Summarization of long documents.
- Extended conversational AI.
- Complex question answering requiring broad context.
- Content generation based on detailed prompts.