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 • 1.44M • 209
HuggingFaceTB/SmolLM2-135M-Instruct

Text Generation • 0.1B • Updated Sep 22, 2025 • 2.36M • 362
google/gemma-3-270m

Text Generation • 0.3B • Updated Aug 14, 2025 • 5.1M • 1.04k
google/gemma-3-270m-it

Text Generation • 0.3B • Updated Aug 14, 2025 • 967k • 601
Qwen/Qwen3-0.6B

Text Generation • 0.8B • Updated Jul 26, 2025 • 28.1M • • 1.38k
google/gemma-3-1b-it

Text Generation • 1.0B • Updated Apr 4, 2025 • 4.02M • • 1.04k
google/gemma-3-1b-pt

Text Generation • 1.0B • Updated Mar 21, 2025 • 71.7k • • 195
Qwen/Qwen3-1.7B

Text Generation • 2B • Updated Jul 26, 2025 • 5.69M • • 496
facebook/MobileLLM-R1-950M

Text Generation • 0.9B • Updated Sep 30, 2025 • 267 • 359
facebook/MobileLLM-R1-140M

0.1B • Updated Nov 10, 2025 • 213 • 39
ByteDance/Ouro-1.4B

Text Generation • 1B • Updated Jan 18 • 69.5k • 102