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Fine-tuning the Qwen3-4B-Thinking Model, Jan-v1 Model Strongly Challenges Perplexity Pro

Open-source AI model Jan-v1 released, fine-tuned from Alibaba's Qwen3-4B-Thinking. With 400M params, achieves 91% SimpleQA accuracy, supports local deployment, excels in reasoning & tool usage, outperforming expectations.....

13.9k 6 days ago
Fine-tuning the Qwen3-4B-Thinking Model, Jan-v1 Model Strongly Challenges Perplexity Pro

Models

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Jan V1 AIO GGUF

prithivMLmods

J

Jan-v1-AIO-GGUF contains two powerful language models: Jan-v1-4B and Jan-v1-edge. Jan-v1-4B is based on the Qwen3-4B-thinking architecture, with 4 billion parameters. It has strong intelligent reasoning, problem-solving, and tool-using capabilities and supports web search tasks. Jan-v1-edge is a lightweight intelligent model designed for fast execution on devices and is suitable for resource-constrained environments.

Natural Language ProcessingTransformersTransformersEnglish
prithivMLmods
3.6k
1

Jan V1 4B 4bit

mlx-community

J

Jan-v1-4B-4bit is a 4-bit quantized version converted from the Jan-v1-4B model using mlx-lm version 0.26.3. It is optimized for the Apple MLX framework and provides efficient large language model inference capabilities.

Natural Language ProcessingMlxMlxEnglish
mlx-community
144
1
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