NaveenVenu/grimoire-3b
TEXT GENERATIONConcurrency Cost:1Model Size:3.1BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:Jun 12, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
NaveenVenu/grimoire-3b is a 3.1 billion parameter Qwen2-based instruction-tuned language model developed by NaveenVenu. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. This model is designed for general instruction-following tasks, leveraging its efficient training methodology.
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NaveenVenu/grimoire-3b: An Efficiently Fine-tuned Qwen2 Model
NaveenVenu/grimoire-3b is a 3.1 billion parameter instruction-tuned language model, developed by NaveenVenu. It is based on the Qwen2 architecture and was specifically fine-tuned using the Unsloth library in conjunction with Huggingface's TRL library. This combination allowed for a significantly faster training process, reportedly 2x quicker than standard methods.
Key Capabilities
- Instruction Following: Designed to respond to a wide range of user instructions.
- Efficient Training: Benefits from optimization techniques provided by Unsloth, making it a resource-efficient model.
- Qwen2 Architecture: Leverages the robust base capabilities of the Qwen2 model family.
Good For
- Developers seeking a compact yet capable instruction-tuned model.
- Applications requiring efficient inference due to its 3.1B parameter count.
- Experimentation with models fine-tuned using advanced techniques like Unsloth for performance gains.