LOADING DATASHEET
LOADING DATASHEET
by Alibaba
RANKED #281 OF 316 ASSISTANTS · OVERALL #435 OF 493 RANKED · VIBE SCORE 5.2 · 60 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
Qwen vision-language model for visual reasoning, documents, and agent tasks
2 mentions
3 mentions
26 weeks · 58 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 Qwen 2.5 VL 7B Instruct once and it's yours. No subscription, no rate limits, works offline.
7B parameters, a Q4 quantized file is about 4.7 GB plus around 1.3 GB for the vision projector
Nvidia GeForce RTX 3060 12GB
12 GB VRAM
~$220 USEDQ4_K_M quant with full image offload and 8k context
Nvidia GeForce RTX 4060 Ti 16GB
16 GB VRAM
~$450 NEWQ8_0 or Q5_K_M with 32k context and fast vision token processing
Nvidia GeForce RTX 4090 24GB
24 GB VRAM
~$1750 NEWBF16 unquantized or Q8 with long video and multi-image 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 Qwen 2.5 VL 7B 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 4060 Ti 16GB | FULL POWERNvidia GeForce RTX 4090 24GB |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~20 S | ~11 S | ~7 S |
| Summarize a documenta long report boiled down to the points that matter | ~60 S★★★★★ | ~33 S★★★★★ | ~20 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~5.3 MIN★★★★★ | ~3 MIN★★★★★ | ~1.8 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~17 MIN★★★★★ | ~9.3 MIN★★★★★ | ~5.6 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~10 MIN★★★★★ | ~5.6 MIN★★★★★ | ~3.3 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 Qwen 2.5 VL 7B Instruct yet to call it. We found 60 posts but people did not say much either way.
58 POSTS · 2 COMMENTS · GITHUB · REDDIT · BLOG · DEV FORUMS
Other models the crowd has fully reviewed, starting with multimodal models like this one.
(from [1, 2, 3, 6, 11]) Continual learning, which refers to the ability of an AI model to learn from new tasks and data over time, has become a popular topic in the discussion of Artificial General Intelligence (AGI) . Put simply, general intelligence should…
TensorSharp supports multiple image edits using Unsloth Qwen Image Edit 2511 models
qwen 2.5 VL on Ollama
Not sure if I can trust Claude, but is LM Studio faster or Ollama?
Why is unsloth/Qwen2.5-VL-7B-Instruct-unsloth-bnb-4bit so much better than other quants?
What are the best models (OCR / VLM / etc.) for reading diagrams, graphs, and images in documents (PDF, PNG, JPG)?
Qwen2.5-VL Inference degradation - Same Model/Data, Different Results
New to Qwen Image Edit, it seems to fail a lot of commands, what am I doing wrong?
Qwen3.6-27B AWQ-INT4 on RTX 5090: KV cache FP8 at 24K context, and why low-temperature guided JSON loops on you
Need Help here
TextEncodeQwenImageEdir mat1 and mat2
How to adjust settings for custom added models?