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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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super-smol to fine-tune

updated Dec 3, 2025
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  • HuggingFaceTB/SmolLM2-135M

    Text Generation • 0.1B • Updated Feb 6, 2025 • 503k • 156

  • HuggingFaceTB/SmolLM2-135M-Instruct

    Text Generation • 0.1B • Updated Sep 22, 2025 • 326k • 287

  • google/gemma-3-270m

    Text Generation • 0.3B • Updated Aug 14, 2025 • 43.3k • 967

  • google/gemma-3-270m-it

    Text Generation • 0.3B • Updated Aug 14, 2025 • 116k • 539

  • Qwen/Qwen3-0.6B

    Text Generation • 0.8B • Updated Jul 26, 2025 • 8.62M • 1.01k

  • google/gemma-3-1b-it

    Text Generation • 1.0B • Updated Apr 4, 2025 • 1.84M • 818

  • google/gemma-3-1b-pt

    Text Generation • 1.0B • Updated Mar 21, 2025 • 44.8k • 179

  • Qwen/Qwen3-1.7B

    Text Generation • 2B • Updated Jul 26, 2025 • 3.56M • • 401

  • facebook/MobileLLM-R1-950M

    Text Generation • 0.9B • Updated Sep 30, 2025 • 133 • 279

  • facebook/MobileLLM-R1-140M

    Text Generation • 0.1B • Updated Nov 10, 2025 • 407 • 37

  • ByteDance/Ouro-1.4B

    Text Generation • Updated 8 days ago • 13.9k • 58
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