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yjernite 's Collections
Model picker - potluck
Cybersecurity
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 • 3.55M • • 1k

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

    4B • Updated Aug 20, 2025 • 256k • 216

  • HuggingFaceTB/SmolLM3-3B

    Text Generation • 3B • Updated Sep 10, 2025 • 712k • 1.05k

  • unsloth/SmolLM3-3B-GGUF

    3B • Updated Jul 8, 2025 • 16.4k • 33

  • Qwen/Qwen3-Embedding-4B-GGUF

    4B • Updated Aug 3, 2025 • 42.8k • 134

    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 • 8.52M • • 1.27k

  • google/gemma-3-270m

    Text Generation • 0.3B • Updated Aug 14, 2025 • 62.7k • 1.11k

  • ByteDance/Ouro-1.4B

    Text Generation • 1B • Updated Jan 18 • 24.3k • 163

  • unsloth/Qwen3.5-27B-GGUF

    Image-Text-to-Text • 27B • Updated Mar 5 • 100k • 505
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