LOADING DATASHEET
LOADING DATASHEET
by Mistral
RANKED #279 OF 316 ASSISTANTS · OVERALL #433 OF 493 RANKED · VIBE SCORE 5.2 · 63 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
Mistral 7B Instruct is a compact, 7B parameter model optimized for fast and efficient text and code generation with a 32K token context window.
7 mentions
7 mentions
26 weeks · 8 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 7B instruct v0.2 once and it's yours. No subscription, no rate limits, works offline.
7.3B parameters, a Q4 file is about 4.4 GB
Nvidia GeForce RTX 3060 12GB
12 GB VRAM
~$280 USEDQ4_K_M quant, ~45 tok/s, 8k context
Nvidia GeForce RTX 4070 12GB
12 GB VRAM
~$550 NEWQ8_0 quant, ~75 tok/s, 16k context
Nvidia GeForce RTX 4090 24GB
24 GB VRAM
~$1750 NEWFP16 unquantized, ~110 tok/s, full 32k 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 7B instruct v0.2 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★★★★★ | ~20 S★★★★★ | ~14 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~3 MIN★★★★★ | ~1.8 MIN★★★★★ | ~73 S★★★★★ |
| Build a backendan API with routes, storage and tests | ~9.3 MIN★★★★★ | ~5.6 MIN★★★★★ | ~3.8 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~5.6 MIN★★★★★ | ~3.3 MIN★★★★★ | ~2.3 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 7B instruct v0.2 yet to call it. We found 63 posts but people did not say much either way.
49 POSTS · 14 COMMENTS · LEMMY · REDDIT · GITHUB
Other models the crowd has fully reviewed, starting with text models like this one.
AI Local Long Term Memory, best tech combo for 2024
[P] New collection of Llama, Mistral, Phi, Qwen, and Gemma models for function/tool calling
Mistral releases version 0.2 of their 7B model
Mistral 7B v0.2 Base (released at SHACK15sf hackathon)
Mistral 7B v0.2 Base (released at SHACK15sf hackathon)
Anyone know or have examples of a "Great" Character Card?
I wrote an AI Assistant accessible via Command Line using Mistral-7B-Instruct-v0.2 in python for FREE!
Meta confirms that its Llama 3 open source LLM is coming in the next month
Comment in r/MistralAI
How can i get always deterministic outputs from mistral-7b-instruct-v0.2?
Using mistral in collab! Why does it keep forgetting previous conversation?
Mistral 7B Instruct very slow on M3 Max w/ 36GB