monilako/ZeroZero-Deep-Llama-3-8B
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:Apr 5, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The monilako/ZeroZero-Deep-Llama-3-8B is an 8 billion parameter Llama 3 instruction-tuned model developed by monilako. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is designed for general instruction-following tasks, leveraging the Llama 3 architecture for efficient performance.
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Overview
The monilako/ZeroZero-Deep-Llama-3-8B is an 8 billion parameter instruction-tuned language model based on the Llama 3 architecture. Developed by monilako, this model was fine-tuned using the Unsloth library in conjunction with Huggingface's TRL library. A key characteristic of its development is the reported 2x faster training speed achieved through this methodology.
Key Capabilities
- Instruction Following: Designed to respond effectively to a wide range of user instructions.
- Efficient Training: Benefits from the Unsloth framework, which optimizes the fine-tuning process for speed.
- Llama 3 Foundation: Inherits the robust capabilities and performance characteristics of the Llama 3 base model.
Good For
- Applications requiring a capable 8B parameter instruction-tuned model.
- Scenarios where efficient fine-tuning methods are a priority.
- General-purpose text generation and conversational AI tasks.