AI Rigs · Models
Top open-source models
The most-downloaded open-weight language models on Hugging Face right now - the ones actually worth running at home. What each is good at, roughly what VRAM it needs, and a shortcut to the GGUF quants. Refreshed every deploy, straight from the Hugging Face API.
- 01
Alibaba. Superb all-rounder - strong at coding, maths and multilingual.
- Downloads
- 16.6M
- Likes
- 1k
- VRAM
- runs on 8GB
- 02
Alibaba. Superb all-rounder - strong at coding, maths and multilingual.
- Downloads
- 13.5M
- Likes
- 784
- VRAM
- runs on 8GB
- 03
Alibaba. Superb all-rounder - strong at coding, maths and multilingual.
- Downloads
- 12.1M
- Likes
- 1k
- VRAM
- runs on 8GB
- 04
Meta. The open-weight workhorse - broad, reliable, huge tooling support.
- Downloads
- 10.4M
- Likes
- 2k
- VRAM
- runs on 8GB
- 05
Alibaba. Superb all-rounder - strong at coding, maths and multilingual.
- Downloads
- 10.1M
- Likes
- 725
- VRAM
- needs a 24GB card
- 06
Alibaba. Superb all-rounder - strong at coding, maths and multilingual.
- Downloads
- 10.0M
- Likes
- 514
- VRAM
- runs on 8GB
- 07
OpenAI. OpenAI's open-weight release - strong general chat and reasoning.
- Downloads
- 8.1M
- Likes
- 5k
- VRAM
- needs ~12GB
- 08
Meta. The open-weight workhorse - broad, reliable, huge tooling support.
- Downloads
- 8.0M
- Likes
- 6k
- VRAM
- runs on 8GB
- 09
Alibaba. Superb all-rounder - strong at coding, maths and multilingual.
- Downloads
- 7.2M
- Likes
- 507
- VRAM
- runs on 8GB
- 10
Open-weight text-generation model.
- Downloads
- 5.9M
- Likes
- 0
- VRAM
- runs on 8GB
- 11
Alibaba. Superb all-rounder - strong at coding, maths and multilingual.
- Downloads
- 5.9M
- Likes
- 543
- VRAM
- runs on 8GB
- 12
Alibaba. Superb all-rounder - strong at coding, maths and multilingual.
- Downloads
- 4.6M
- Likes
- 667
- VRAM
- runs on 8GB
- 13
Open-weight text-generation model.
- Downloads
- 4.6M
- Likes
- 65
- VRAM
- needs a 24GB card
- 14
OpenAI. OpenAI's open-weight release - strong general chat and reasoning.
- Downloads
- 4.3M
- Likes
- 5k
- VRAM
- big-memory only
- 15
Open-weight text-generation model.
- Downloads
- 4.1M
- Likes
- 579
- VRAM
- runs on 8GB
- 16
Open-weight text-generation model.
- Downloads
- 3.8M
- Likes
- 236
- VRAM
- runs on 8GB
- 17
Alibaba. Superb all-rounder - strong at coding, maths and multilingual.
- Downloads
- 3.4M
- Likes
- 355
- VRAM
- needs ~12GB
- 18
Google. Compact and capable - a lot of quality in a small footprint.
- Downloads
- 3.4M
- Likes
- 1k
- VRAM
- runs on 8GB
- 19
Alibaba. Superb all-rounder - strong at coding, maths and multilingual.
- Downloads
- 3.3M
- Likes
- 164
- VRAM
- runs on 8GB
- 20
Alibaba. Superb all-rounder - strong at coding, maths and multilingual.
- Downloads
- 3.2M
- Likes
- 435
- VRAM
- needs ~12GB
- 21
Alibaba. Superb all-rounder - strong at coding, maths and multilingual.
- Downloads
- 3.1M
- Likes
- 913
- VRAM
- runs on 8GB
- 22
Alibaba. Superb all-rounder - strong at coding, maths and multilingual.
- Downloads
- 3.1M
- Likes
- 177
- VRAM
- needs ~12GB
- 23
Open-weight text-generation model.
- Downloads
- 3.1M
- Likes
- 978
- VRAM
- needs a 24GB card
- 24
Open-weight text-generation model.
- Downloads
- 3.0M
- Likes
- 406
- VRAM
- runs on 8GB
- 25
Google. Compact and capable - a lot of quality in a small footprint.
- Downloads
- 2.7M
- Likes
- 545
- VRAM
- needs a 24GB card
- 26
Meta. The open-weight workhorse - broad, reliable, huge tooling support.
- Downloads
- 2.5M
- Likes
- 2k
- VRAM
- runs on 8GB
- 27
Open-weight text-generation model.
- Downloads
- 2.3M
- Likes
- 686
- VRAM
- needs a 24GB card
- 28
Alibaba. Superb all-rounder - strong at coding, maths and multilingual.
- Downloads
- 2.0M
- Likes
- 1k
- VRAM
- runs on 8GB
- 29
Alibaba. Superb all-rounder - strong at coding, maths and multilingual.
- Downloads
- 2.0M
- Likes
- 404
- VRAM
- needs a 24GB card
- 30
Open-weight text-generation model.
- Downloads
- 1.9M
- Likes
- 0
- VRAM
- runs on 8GB
Ranked by downloads on the Hugging Face Hub. Model sizes and VRAM figures are rough guides - use the calculator for your exact card and quant.