kairawal/Llama-3.2-3B-Instruct-PT-SynthDolly-r16alpha32-E1-S73

TEXT GENERATIONConcurrency Cost:1Model Size:3.2BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:May 7, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The kairawal/Llama-3.2-3B-Instruct-PT-SynthDolly-r16alpha32-E1-S73 is a 3.2 billion parameter instruction-tuned Llama model developed by kairawal. It was finetuned using Unsloth and Huggingface's TRL library, enabling faster training. This model is designed for general instruction-following tasks, leveraging its Llama architecture and efficient finetuning process. Its 32768 token context length supports processing longer inputs and generating comprehensive responses.

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Model Overview

The kairawal/Llama-3.2-3B-Instruct-PT-SynthDolly-r16alpha32-E1-S73 is a 3.2 billion parameter instruction-tuned language model. Developed by kairawal, this model is based on the Llama architecture and was finetuned from unsloth/llama-3.2-3b-Instruct.

Key Characteristics

  • Efficient Finetuning: The model was trained using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
  • Instruction-Tuned: It is designed to follow instructions effectively, making it suitable for a wide range of conversational and task-oriented applications.
  • Context Length: Features a substantial context window of 32768 tokens, allowing it to handle and generate longer, more detailed texts while maintaining coherence.

Use Cases

This model is well-suited for applications requiring:

  • General Instruction Following: Responding to prompts and performing tasks as directed.
  • Conversational AI: Engaging in dialogue and generating human-like text.
  • Text Generation: Creating various forms of content, from summaries to creative writing, benefiting from its large context window.

Finetunes
1 models