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Qwen/Qwen2.5-VL-7B-Instruct

apache-2.0 1 launch

image-text-to-text · 8.29B parameters · 15.4 GiB of weights at revision cc594898. Runs on a single GPU when the source verified it.

download the card performance the weights on HF

Did this card launch? The count is real — it comes from launches the kit recorded against this path, not from a widget anywhere.

1checkpoints
1published launches
1GPU minimum
2named gaps
The identity, read from the HF API at the revision the card pins.
weight pathQwen/Qwen2.5-VL-7B-Instruct
revisioncc594898137f460bfe9f0759e9844b3ce807cfb5
licenseapache-2.0
gatedno
parameters8.29B
weight bytes15.4 GiB
modalityimage-text-to-text
HF downloads5.8M at capture
last modified2025-04-06T16:23:01.000Z

The checkpoints.

Every servable variant in or beside the repo. resident_gib is what lands in VRAM after load; host_gib is what stays on the host and never touches the card.

name format location resident host tier gated
root bf16 repo root 15.4 GiB — no

root — 5 weight file(s)

The published launches.

One entry per engine × checkpoint with a command somebody published. Each cites the page it was read from — the card copies it, it does not invent it.

vllm root

vllm/vllm-tpu:latest
argv — what a wrapper execs 
vllm serve Qwen/Qwen2.5-VL-7B-Instruct --tensor-parallel-size 1 --mm-encoder-tp-mode data
as the source printed it
vllm serve Qwen/Qwen2.5-VL-7B-Instruct \
  --tensor-parallel-size 1 \
  --mm-encoder-tp-mode data
validated on
trillium, xeon6
source
vllm-recipes

Every floor a box must clear.

A launch that fails on the third requirement wasted the first two. These are the requirements, as data — the fit gate reads them instead of a paragraph.

The hardware block, verbatim from the card.
GPU modelsnone validated
architectures—
min GPUs1
TP rulewidest published TP is 1
min VRAM / GPU—
min total VRAM—
min disk69 GiB
min host RAM—
interconnectnot required
CUDA min—
driver min—
context tokens—

The 2 things this card could not answer.

First-class, not swallowed. Every entry is a field a source did not answer — which makes it a launch nobody has done, and therefore a unit of work rather than a defect.

envs.sglang no SGLang cookbook page matched this repo
hardware.validated the only verified targets are non-GPU: trillium, xeon6 — no GPU family was verified for this repo

The file.

The card is a YAML document with a published JSON Schema. View it, download it, diff it against the next capture — and point one at it.

download

launch-card.yaml card.json the schema

Same bytes the collector wrote. The JSON is the same card, for a machine that would rather not parse YAML.

with one

one launch --card Qwen/Qwen2.5-VL-7B-Instruct/launch-card.yaml

one follows the argv above, checks the floors before the paid clock, and on a failure changes exactly one field and retries — recording every attempt against this path.

Where every field came from.

The card is assembled, not authored. These are the sources, so a reader can check the claim rather than trust it.

sourceurl
hf-api https://huggingface.co/api/models/Qwen/Qwen2.5-VL-7B-Instruct
vllm-recipes https://recipes.vllm.ai/Qwen/Qwen2.5-VL-7B-Instruct.json

Captured 2026-10-31T17:28:34Z by hf-api + vllm-recipes + sglang-cookbook. Schema onefrontier.launch-card/v1.