LOADING DATASHEET
LOADING DATASHEET
by DeepSeek
COPY BADGE pastes a README snippet with the rank SVG.
An open reasoning model designed to tackle complex math, logic, and coding tasks.
119 mentions
48 mentions
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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 deepseek r1 671B once and it's yours. No subscription, no rate limits, works offline.
671B parameters, a Q4 file is about 404 GB, while dynamic quants (like IQ1_M) range from 131 GB to 158 GB
Mac Studio M2 Ultra (192GB Unified Memory)
192 GB UNIFIED MEMORY
~$4,300 USEDIQ1_M (1.58-bit dynamic quant), ~2-3 tok/s, 8k context
Dual Mac Studio M2 Ultra Cluster (384GB Unified Memory)
384 GB UNIFIED MEMORY
~$8,600 USEDQ4_K_M (404 GB) at ~11-16 tok/s, 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 deepseek r1 671B takes, and how good the crowd says it is at that kind of work.
| THE JOB | SWEET SPOTMac Studio M2 Ultra (192GB Unified Memory) | FULL POWERDual Mac Studio M2 Ultra Cluster (384GB Unified Memory) |
|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~3.3 MIN★★★★★ | ~37 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~10 MIN★★★★★ | ~1.9 MIN★★★★★ |
| Build a websitea small landing page, markup and styles together | ~53 MIN★★★★★ | ~9.9 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~2.8 HR★★★★★ | ~31 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~1.7 HR★★★★★ | ~19 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.
Deepseek r1 671B is generating active community discussion, though specific consensus feedback has not yet been recorded.
95 POSTS · 732 COMMENTS · REDDIT · BLUESKY · STACK OVERFLOW · OTHER FORUMS · DEV FORUMS · HACKER NEWS · LEMMY · X · GITHUB · DEV.TO
Checked picks first: tags say why you would switch, stars say how fully each one stands in for deepseek r1 671B.
DeepSeek R1 671B parameter model (404GB total) running on Apple M2 (2 M2 Ultras) flawlessly.
DeepSeek Open Infra: Open-Sourcing 5 AI Repos in 5 Days
Ollama Models Ranked by VRAM Requirements
Even in this example running its own chip on its own infrastructure, OpenAI refuses to actually document how much cheap
Breaking news, DeepSeek quietly releases another major update! Open-sourcing the new 671B model DeepSeek-Prover-V2
Deepseek r1 671b on my local PC
Oh wow, the "advantage widened"? What does that mean? Nothing? Okay thanks
LLMs aren't "parrots" in the sense they only repeat what's in training data, but they are "parrots" in the sense they pr
deepseek just dropped new model , DeepSeek-Prover-V2-671B · . can anybody tell me what this model is for
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