waratuman/claudius-qwen3-14b
TEXT GENERATIONConcurrency Cost:1Model Size:14BQuant:FP8Ctx Length:32kPublished:Apr 20, 2026Architecture:Transformer Cold
The waratuman/claudius-qwen3-14b is a 14 billion parameter language model, fine-tuned and converted to GGUF format using Unsloth. This model is based on the Qwen3 architecture and is optimized for efficient deployment and inference on local hardware. Its primary utility lies in providing a readily available, performant Qwen3 variant for various text-based applications.
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Overview
The waratuman/claudius-qwen3-14b is a 14 billion parameter language model, specifically a Qwen3 variant, that has been fine-tuned and converted into the GGUF format. This conversion and optimization process was facilitated by Unsloth, which is noted for accelerating training processes.
Key Capabilities
- Efficient Local Deployment: Provided in GGUF format, making it suitable for efficient inference on consumer-grade hardware using tools like
llama-cli. - Qwen3 Architecture: Leverages the capabilities of the Qwen3 model family, known for strong general-purpose language understanding and generation.
- Unsloth Optimization: Benefits from Unsloth's optimizations, which can lead to faster training and potentially more efficient inference.
Good For
- Text-only LLM Applications: Can be used with
llama-clifor various text generation and understanding tasks. - Local Inference: Ideal for developers and users who need to run a powerful language model locally without extensive computational resources.
- Experimentation: Provides an accessible Qwen3 model for experimentation and integration into custom projects, with an included Ollama Modelfile for easy setup.