kairawal/Llama-3.1-8B-Instruct-DA-SynthDolly-r16alpha32-E1-S73

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:May 12, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The kairawal/Llama-3.1-8B-Instruct-DA-SynthDolly-r16alpha32-E1-S73 is an 8 billion parameter instruction-tuned causal language model, developed by kairawal. Fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct, it leverages Unsloth and Huggingface's TRL library for accelerated training. This model is optimized for efficient performance, offering a 32768 token context length, making it suitable for general instruction-following tasks.

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Model Overview

The kairawal/Llama-3.1-8B-Instruct-DA-SynthDolly-r16alpha32-E1-S73 is an 8 billion parameter instruction-tuned language model. It was developed by kairawal and is fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model.

Key Characteristics

  • Base Model: Fine-tuned from Meta's Llama-3.1-8B-Instruct architecture.
  • Training Efficiency: This model was trained significantly faster (2x) by utilizing the Unsloth library in conjunction with Huggingface's TRL library.
  • Context Length: Supports a context window of 32768 tokens.
  • License: Distributed under the Apache-2.0 license.

Intended Use Cases

This model is designed for general instruction-following applications, benefiting from its efficient training methodology and substantial context window. Its foundation on the Llama-3.1-8B-Instruct model suggests suitability for a wide range of natural language processing tasks where a robust instruction-tuned model is required.

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