kairawal/Llama-3.1-8B-Instruct-EL-SynthDolly-r16alpha32-E3-S73

TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:May 16, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The kairawal/Llama-3.1-8B-Instruct-EL-SynthDolly-r16alpha32-E3-S73 is an 8 billion parameter instruction-tuned causal language model, finetuned by kairawal from unsloth/Meta-Llama-3.1-8B-Instruct. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster finetuning. It is designed for general instruction-following tasks, leveraging the Llama 3.1 architecture.

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Overview

This model, kairawal/Llama-3.1-8B-Instruct-EL-SynthDolly-r16alpha32-E3-S73, is an 8 billion parameter instruction-tuned language model. It was developed by kairawal and finetuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model.

Key Characteristics

  • Base Model: Finetuned from Meta-Llama-3.1-8B-Instruct, providing a strong foundation for instruction-following.
  • Training Efficiency: Utilizes Unsloth and Huggingface's TRL library, which enabled a 2x faster finetuning process.
  • Parameter Count: Features 8 billion parameters, balancing performance with computational requirements.
  • Context Length: Supports a context length of 32768 tokens, suitable for processing moderately long inputs.

Use Cases

This model is well-suited for general instruction-following applications where a Llama 3.1-based model with efficient finetuning is beneficial. Its capabilities align with typical LLM tasks such as text generation, summarization, question answering, and conversational AI, particularly in scenarios where faster training cycles are advantageous.

Finetunes
1 models