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New activity in AxiomicLabs/GPT-X3-150M 15 minutes ago

Question about the tokenizer

#3 opened 15 minutes ago by

FlameF0X

New activity in FlameF0X/Tiny-T2I-Leaderboard about 3 hours ago

Update results.json

1

#17 opened about 3 hours ago by

AxionLab-official

Update results.json

#16 opened about 3 hours ago by

AxionLab-official

Update results.json

#15 opened about 3 hours ago by

AxionLab-official

liked a model about 4 hours ago

HuggingFaceTB/SmolLM2-135M-Instruct

Text Generation • 0.1B • Updated Sep 22, 2025 • 1.64M • 434

updated 2 models about 5 hours ago

anwgpt/anwgpt4.1-chat

Text Generation • 30.7M • Updated about 5 hours ago • 392 • 2

anwgpt/anwgpt4.1-base

Text Generation • 30.7M • Updated about 5 hours ago • 118

liked a model about 5 hours ago

AxiomicLabs/GPT-X3-150M

Text Generation • 0.1B • Updated about 13 hours ago • 53 • 24

New activity in FlameF0X/Tiny-T2I-Leaderboard about 6 hours ago

Atlas-archive

2

#13 opened about 7 hours ago by

FlameF0X

Please

2

#14 opened about 6 hours ago by

AxionLab-official

updated a Space about 8 hours ago

Running

7

Tiny T2I Leaderboard

🚀

7

Explore rankings of tiny text‑to‑image models

updated a collection about 8 hours ago

Benchmarks

Collection

3 items • Updated about 4 hours ago • 1

updated 2 Spaces about 8 hours ago

Running

Agents

11

CPU LM Speed Benchmark

⚡

11

Benchmark base LMs (10M–1B) on CPU — speed and quality

Running

Agents

Auto PreTrain

🚂

Train a custom GPT-2 text generator from your dataset

updated a model about 8 hours ago

FlameF0X/arXivGPT

Text Generation • 8.56M • Updated about 8 hours ago • 521 • 1

liked a Space about 9 hours ago

Running

5

Pretty Speed Index

👀

5

Explore CPU speed benchmarks of small language models

updated a Space about 10 hours ago

Running

5

Pretty Speed Index

👀

5

Explore CPU speed benchmarks of small language models

updated a bucket about 11 hours ago

FlameF0X/lm-cpu-benchmarks

80 kB

reacted to danielhanchen's post with ❤️ about 13 hours ago

view post

Post

4168

You can now train your own Decision model like Jev locally!

We increased Qwen3.5 0.8B’s aggregate accuracy from 20.7% to 74.3% across 3 decision benchmarks - on just 4GB VRAM.

Turn any LLM like Qwen3.8, Gemma 4 into decision models with our open-source Unsloth repo.

GitHub: https://github.com/unslothai/unsloth
Guide: https://unsloth.ai/docs/basics/train-your-own-decision-model-with-unsloth

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liked a dataset 1 day ago

LocalLLaMA/typed-decisions

Benchmark • Updated about 13 hours ago • 3.2k • 36.6k • 159