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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
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Models for local deployment

updated 27 days ago
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  • Qwen/Qwen3-4B-Instruct-2507

    Text Generation • 4B • Updated Sep 17 • 3.88M • • 605

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

    4B • Updated Aug 20 • 71.3k • 123

  • HuggingFaceTB/SmolLM3-3B

    Text Generation • 3B • Updated Sep 10 • 98.9k • • 858

  • unsloth/SmolLM3-3B-GGUF

    3B • Updated Jul 8 • 4.67k • 17

  • Qwen/Qwen3-Embedding-4B-GGUF

    4B • Updated Aug 3 • 14.4k • 78

    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 Jun 20 • 3.16M • • 803

  • google/gemma-3-270m

    Text Generation • 0.3B • Updated Aug 14 • 50.6k • 940

  • ByteDance/Ouro-1.4B

    Text Generation • Updated Nov 16 • 14.2k • 57
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