LOADING DATASHEET
GROUNDED IN REAL HUMAN CONVERSATIONSYOUR BENCH
granite 4.1 3B
◆ OPEN
by Ibm Granite
OPEN WEIGHTSLOCALSMALL
RANKED #28 OF 267 ASSISTANTS · OVERALL #42 OF 6,566 · VIBE SCORE 6.9 · 600 VOICES
granite-4.1-3b-AWQ-INT4 on Hugging Face (text generation). 5,920 downloads. Open weights for local or hosted use.
HAPPY9.9
1 mentions
SAD5.1
3 mentions
VIBE TRAJECTORY
26 weeks · 603 voices
TOO QUIET
Not enough weekly voices to call a trend yet.
HOW TO USE IT
Open weights. You can use a hosted service, or download it and run it yourself, free.
RUN IT ON YOUR OWN MACHINE
Open weights: download granite 4.1 3B once and it's yours. No subscription, no rate limits, works offline.
3B parameters, a Q4 file is about 2.1 GB, unquantized FP16 is about 6 GB
- BARE MINIMUM
Raspberry Pi 5 (8 GB RAM)
8 GB UNIFIED RAM
~$80Q4 quantization on CPU, ~8 tok/s, 4k context
- SWEET SPOT
Nvidia GeForce RTX 3060 (12 GB)
12 GB VRAM
~$280 USEDFP16 or Q8 fully in VRAM, ~90 tok/s, 32k context
- FULL POWER
Apple Mac mini (M4, 24 GB RAM)
24 GB UNIFIED MEMORY
~$799FP16 full precision, ~110 tok/s, full 128k context
LEARN HOW TO SET IT UP
WILL MY BOX RUN GRANITE 4.1 3B?
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.
WHAT CAN YOU ACTUALLY DO WITH IT?
Everyday jobs on each of those rigs: how long granite 4.1 3B takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMRaspberry Pi 5 (8 GB RAM) | SWEET SPOTNvidia GeForce RTX 3060 (12 GB) | FULL POWERApple Mac mini (M4, 24 GB RAM) |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~63 S★★★★★ | ~6 S★★★★★ | ~5 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~3.1 MIN★★★★★ | ~17 S★★★★★ | ~14 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~17 MIN★★★★★ | ~89 S★★★★★ | ~73 S★★★★★ |
| Build a backendan API with routes, storage and tests | ~52 MIN★★★★★ | ~4.6 MIN★★★★★ | ~3.8 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~31 MIN★★★★★ | ~2.8 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.
WHAT THE INTERNET SAYS
Not enough discussion about granite 4.1 3B yet to call it. We found 600 posts but people did not say much either way.
44 POSTS · 556 COMMENTS · GITHUB · REDDIT · LEMMY
PEOPLE LOVE
- No fan mail yet. The crowd is still warming up.
PEOPLE COMPLAIN ABOUT
- No complaints yet. The internet is still looking for one. Suspicious.
LOOKING FOR AN ALTERNATIVE?
Checked picks first: tags say why you would switch, stars say how fully each one stands in for granite 4.1 3B.
DeepSeek V4 Flash> SOURCES (12)
- REDDIT · 2026-05-01 · 227 UPVOTESIBM Granite-4.1 out now!
IBM Granite-4.1 out now!
- REDDIT · 2026-08-20 · 8 UPVOTESComment in r/singularity
Comment in r/singularity
- REDDIT · 2026-08-20 · 8 UPVOTESComment in r/singularity
Comment in r/singularity
- REDDIT · 2026-08-07 · 6 UPVOTESI ran 32 local models to test extraction
I ran 32 local models to test extraction
- REDDIT · 2026-08-20 · 4 UPVOTESComment in r/singularity
Comment in r/singularity
- REDDIT · 2026-08-17 · 4 UPVOTESMinistral/vibe/jupyter setup
Ministral/vibe/jupyter setup
- REDDIT · 2026-08-19 · 3 UPVOTESI was trying to improve factual recall with prompting and found near-identical confidence can hide very different perturbation responses
I was trying to improve factual recall with prompting and found near-identical confidence can hide very different perturbation responses
- REDDIT · 2026-08-20 · 3 UPVOTESComment in r/singularity
Comment in r/singularity
- LEMMY · 2026-05-15 · 2 UPVOTES<8B multilingual models for language learning chatbots
<8B multilingual models for language learning chatbots
- REDDIT · 2026-08-20 · 2 UPVOTESComment in r/singularity
Comment in r/singularity
- REDDIT · 2026-08-20 · 2 UPVOTESComment in r/singularity
Comment in r/singularity
- GITHUB · 2026-08-29 · 0 UPVOTESfeat: add the local llama-cpp provider, and exercise the openai path for real
feat: add the local llama-cpp provider, and exercise the openai path for real