LOADING DATASHEET
LOADING DATASHEET
by Alibaba
RANKED #168 OF 316 ASSISTANTS · OVERALL #229 OF 493 RANKED · VIBE SCORE 6.4 · 364 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual u
39 mentions
22 mentions
26 weeks · 307 voices in this window
HOLDING UP
Recent vibe is steady. No clear fade in the crowd.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download Qwen3 30B A3B Instruct once and it's yours. No subscription, no rate limits, works offline.
30.5B total parameters with 3.3B active parameters per token, a Q4_K_M quantized file is about 18 GB
Desktop PC with 32GB DDR5 system RAM and Nvidia GeForce RTX
12 GB VRAM PLUS 32 GB SYSTEM RAM
~$260 USEDQ4_K_M partial GPU offload, ~20 to 30 tok/s due to 3.3B active parameter compute, 8k context
Nvidia GeForce RTX 3090 24GB
24 GB VRAM
~$700 USEDQ4_K_M or Q5_K_M fully in VRAM, ~70 to 85 tok/s, 32k context
Apple Mac Studio M2 Ultra with 64GB Unified Memory
64 GB UNIFIED MEMORY
~$3100 NEWBF16 / FP16 unquantized or Q8_0, ~45 to 60 tok/s, full 131k 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 Qwen3 30B A3B Instruct takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMDesktop PC with 32GB DDR5 system RAM and Nvidia GeForce RTX | SWEET SPOTNvidia GeForce RTX 3090 24GB | FULL POWERApple Mac Studio M2 Ultra with 64GB Unified Memory |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~20 S★★★★★ | ~6 S★★★★★ | ~10 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~60 S★★★★★ | ~19 S★★★★★ | ~29 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~5.3 MIN★★★★★ | ~1.7 MIN★★★★★ | ~2.5 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~17 MIN★★★★★ | ~5.4 MIN★★★★★ | ~7.9 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~10 MIN★★★★★ | ~3.2 MIN★★★★★ | ~4.8 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.
People are mostly frustrated with Qwen3 30B A3B Instruct right now.
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Checked picks first: tags say why you would switch, stars say how fully each one stands in for Qwen3 30B A3B Instruct.
Qwen3 30B A3B Hits 13 token/s on 4xRaspberry Pi 5
Unsloth Dynamic 'Qwen3-30B-A3B-Instruct-2507' GGUFs out now!
Best models under 16GB
Unsloth Dynamic 'Qwen3-30B-A3B-THINKING-2507' GGUFs out now!
💻 I optimized Qwen3:30B MoE to run on my RTX 3070 laptop at ~24 tok/s - full breakdown inside
qwen3:30b 2507 is out
Qwen3-30B-A3B-2507 and Qwen3-235B-A22B-2507 now support ultra-long context—up to 1 million tokens
Ryzen AI MAX+ 395 - LLM metrics
Running Qwen3 30B A3B at 50 tok/s on RTX 5060 Ti
Fixes for: Qwen3-30B-A3B-Thinking-2507 GGUF.
Extened garlic to run Qwen3.5 35B A3B float8 at 55 tok/s on RTX 5060 Ti
Qwen3 30B A3B 2507 series personal experience + Qwen Code doesn't work?