super-smol to fine-tune - a yjernite Collection

yjernite 's Collections

Text embedding models I use

super-smol to fine-tune

Models for local deployment

Inference-supported production models

Document processing

super-smol to fine-tune

updated Dec 3, 2025

HuggingFaceTB/SmolLM2-135M

Text Generation • 0.1B • Updated Feb 6, 2025 • 1.32M • 182
HuggingFaceTB/SmolLM2-135M-Instruct

Text Generation • 0.1B • Updated Sep 22, 2025 • 883k • 302
google/gemma-3-270m

Text Generation • 0.3B • Updated Aug 14, 2025 • 88.5k • 1.01k
google/gemma-3-270m-it

Text Generation • Updated Aug 14, 2025 • 127k • 576
Qwen/Qwen3-0.6B

Text Generation • 0.8B • Updated Jul 26, 2025 • 15.1M • 1.19k
google/gemma-3-1b-it

Text Generation • 1.0B • Updated Apr 4, 2025 • 834k • 912
google/gemma-3-1b-pt

Text Generation • Updated Mar 21, 2025 • 69.8k • 189
Qwen/Qwen3-1.7B

Text Generation • 2B • Updated Jul 26, 2025 • 8.07M • • 446
facebook/MobileLLM-R1-950M

Text Generation • 0.9B • Updated Sep 30, 2025 • 524 • 283
facebook/MobileLLM-R1-140M

Text Generation • 0.1B • Updated Nov 10, 2025 • 505 • 39
ByteDance/Ouro-1.4B

Text Generation • Updated Jan 18 • 25.1k • 83