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yjernite 's Collections
Text embedding models I use
super-smol to fine-tune
Models for local deployment
Inference-supported production models
Document processing
Privacy

Models for local deployment

updated Feb 25
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  • Qwen/Qwen3-4B-Instruct-2507

    Text Generation • 4B • Updated Sep 17, 2025 • 5.35M • • 890

  • unsloth/Qwen3-4B-Instruct-2507-GGUF

    4B • Updated Aug 20, 2025 • 81.6k • 183

  • HuggingFaceTB/SmolLM3-3B

    Text Generation • 3B • Updated Sep 10, 2025 • 686k • 981

  • unsloth/SmolLM3-3B-GGUF

    3B • Updated Jul 8, 2025 • 5.94k • 25

  • Qwen/Qwen3-Embedding-4B-GGUF

    4B • Updated Aug 3, 2025 • 17.3k • 114

    Note ./build/bin/llama-server -hf Qwen/Qwen3-Embedding-4B-GGUF:Q6_K --port 8080 --pooling last --verbose-prompt --parallel 4 --batch-size 8 --embedding --ctx-size 8000 --cache-type-k q4_0 --gpu-layers 36


  • Qwen/Qwen3-Embedding-0.6B

    Feature Extraction • 0.6B • Updated Apr 20 • 10.3M • • 1.09k

  • google/gemma-3-270m

    Text Generation • 0.3B • Updated Aug 14, 2025 • 5.43M • 1.04k

  • ByteDance/Ouro-1.4B

    Text Generation • 1B • Updated Jan 18 • 68.5k • 102

  • unsloth/Qwen3.5-27B-GGUF

    Image-Text-to-Text • 27B • Updated Mar 5 • 138k • 498
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