LOADING DATASHEET
LOADING DATASHEET
by Mistral
RANKED #267 OF 318 ASSISTANTS · OVERALL #409 OF 494 RANKED · VIBE SCORE 5.4 · 38 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
Mistral model for multilingual chat, reasoning, and tool-assisted workflows
5 mentions
2 mentions
26 weeks · 10 voices in this window
TOO QUIET
Not enough weekly voices to call a trend yet.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download Nemo 12B Instruct once and it's yours. No subscription, no rate limits, works offline.
12.2B parameters, a Q4_K_M GGUF file is about 7.5 GB (needs ~8-9 GB VRAM with context)
NVIDIA GeForce RTX 3060 12GB
12 GB VRAM
~$260 USEDQ4_K_M quant, ~45 tok/s, 8k context
NVIDIA GeForce RTX 4070 12GB
12 GB VRAM
~$520 NEWQ5_K_M quant, ~70 tok/s, 16k context
NVIDIA GeForce RTX 4090 24GB
24 GB VRAM
~$1750 USEDFP16 or Q8_0 quant, ~95 tok/s, full 128k context
The three cards above are researched picks. Search the machine you actually have — we only say yes if it should reply at a usable speed, not just load the weights and crawl.
HARDWARE PICKS & PRICES ARE RESEARCHED FROM THE LIVE WEB AND REFRESHED AUTOMATICALLY. TREAT THEM AS BALLPARK, NOT GOSPEL.
Everyday jobs on each of those rigs: how long Nemo 12B Instruct takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMNVIDIA GeForce RTX 3060 12GB | SWEET SPOTNVIDIA GeForce RTX 4070 12GB | FULL POWERNVIDIA GeForce RTX 4090 24GB |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~11 S | ~7 S | ~5 S |
| Summarize a documenta long report boiled down to the points that matter | ~33 S★★★★★ | ~21 S★★★★★ | ~16 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~3 MIN★★★★★ | ~1.9 MIN★★★★★ | ~84 S★★★★★ |
| Build a backendan API with routes, storage and tests | ~9.3 MIN★★★★★ | ~6 MIN★★★★★ | ~4.4 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~5.6 MIN★★★★★ | ~3.6 MIN★★★★★ | ~2.6 MIN★★★★★ |
STARS ARE THE COMMUNITY SCORE FOR THAT KIND OF WORK, DOCKED FOR HOW SQUASHED THE WEIGHTS GET AT EACH TIER. TIMES ARE COMPUTED FROM RESEARCHED SPEEDS. BALLPARK, NOT GOSPEL.
Not enough discussion about Nemo 12B Instruct yet to call it. We found 38 posts but people did not say much either way.
30 POSTS · 8 COMMENTS · HACKER NEWS · LEMMY · REDDIT · X · GITHUB
Other models the crowd has fully reviewed, starting with multimodal models like this one.
Switched from Llama 3.1 to Mistral—Huge Upgrade!
Pixtral-12b , multimodel from mistral
Announcing Pixtral 12B
NanoGPT (provider) update: a lot of additional models + streaming works
mistral-nemo:12b-instruct-2407-fp16 beats Llama 3.1 8b-instruct-fp16 any day.
Mistral-small 3.1 Vision for PDF RAG tested
Is finetuning a 12b model on 16gb vram possible?
New to Ollama and using local models. Questions on RAG and how it works.
Comment in r/SillyTavernAI
Apply image rotation correction before sending images to vision models - Pixtral alternatives comparison revisited
Pixtral retirement - I tried 8 alternatives, this is what I found
Why Naive Sliding-Window RAG Fails on Complex PDFs ( and how we solved it )