wooodpecker22/icp_assistant_model_llama_5
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:May 18, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The wooodpecker22/icp_assistant_model_llama_5 is an 8 billion parameter Llama 3.1 instruction-tuned model, developed by wooodpecker22. This model was finetuned using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general instruction-following tasks, leveraging the Llama 3.1 architecture for efficient performance.
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wooodpecker22/icp_assistant_model_llama_5 Overview
This model is an 8 billion parameter instruction-tuned variant of the Llama 3.1 architecture, developed by wooodpecker22. It was finetuned from unsloth/meta-llama-3.1-8b-instruct-unsloth-bnb-4bit using the Unsloth library and Huggingface's TRL, which enabled a 2x faster training process.
Key Characteristics
- Base Model: Llama 3.1 (8 billion parameters)
- Training Efficiency: Utilizes Unsloth for accelerated finetuning.
- Instruction-Tuned: Optimized for understanding and following instructions.
- Context Length: Supports an 8192-token context window.
Good For
- General instruction-following applications.
- Tasks requiring a Llama 3.1-based model with efficient training origins.
- Developers looking for a performant 8B parameter model for various NLP tasks.