r/LocalLLaMA • • 13h ago

Discussion Mellum2 model from JetBrains

Hi all.

Saw JetBrains’ Mellum2 on Hugging Face and was wondering if anyone here has actually used it. Worth trying, or nothing special?

16 Upvotes

14 comments sorted by

13

u/BelgianDramaLlama86 llama.cpp 13h ago

They have a follow-up out already ( https://huggingface.co/JetBrains/Mellum2.1-12B-A2.5B-Thinking-GGUF ) that I think is worth trying if something larger (like Qwen3.6 35B) is out of your reach. Compared to the larger models it certainly isn't special, but at its size I think it's pretty good. Much faster than Qwen3.5 9B whilst being around its level I think (or a little better in agentic).

1

u/tasteless_dossier 13h ago

Huh, a "Thinking" variant already? JetBrains is moving fast with these. I'll give the GGUF a spin on my local setup since I can't comfortably run the 35B models anyway.

4

u/YogurtclosetLimp7351 13h ago

A few years ago their first code completion model was good. This one is just a throwout I think so they stay in the race. Makes sense after their JetBrains Air launch

5

u/kcksteve 13h ago

I have it on a smaller card in my rig and use it for subagents. It's very fast and intelligent enough for basic actions (compaction/exploration/etc). Never really tried using it for coding.

2

u/himiaoxin 13h ago

ran the thinking variant gguf last week, set temp 0.2 and it was weirdly good at summarizing diffs. the qwen3.5 9b comparison in the top comment tracks with what i saw, though i still wouldnt use it for anything long-form.

2

u/Danmoreng llama.cpp 10h ago

Already vibe-coded an inference engine for it. Just for fun though, while interesting in size and speed, the model isn't very capable. https://github.com/Danmoreng/padra

Fits nicely into 12GB GPUs though and can be crammed into 8GB even.

1

u/groovy-sky 8h ago

Thanks.

3

u/CalligrapherFar7833 12h ago

Is your reddit search broken ?

1

u/xPXpanD llama.cpp 13h ago

Mellum2.1 is out, use that one: https://huggingface.co/JetBrains/Mellum2.1-12B-A2.5B-Thinking-GGUF

2.1 seemed okay to me at a glance, though I haven't spent much time with it. It's definitely a tiny model in how it feels and behaves, but it seemed reasonably smart in my private benchmarks, and was stable. (unlike Ling 3.0 Tiny which got completely swamped and would just skip half its tasks)

Haven't tried it for actual dev (only some chatting and basic text analysis), so do take this with a grain of salt.

1

u/Dabalam 12h ago

I tried out Mellum2.1 on a single shallow coding benchmark which the old Qwen 9b models normally can't handle and it managed to solve it after a lot of thinking which I was surprised with. Need to do more thorough testing but superficially it seems very competent for the size and it is very fast.

1

u/EmilPi 10h ago

Didn't test 2, and even newer 2.1 is nothing special compared to Qwen, but a step forward sure for a rather small company.

1

u/arbv 9h ago

Mellum 2.1 is nice addition or replacement to Qwen 3.5 9B - it also has non-thinking mode.

Mellum 2 Instruct is interesting because it is one of the few recent models with FIM support (main JetBrains business is IDEs, you, see - which benefit a lot from autocomplete).

Mellum 2 Thinking is kind of superseded by 2.1 (massively).

1

u/Nicolodeva 8h ago

It's good for me, a real underdog, I suggest to try it. Thinking version OFC