Qwen2-VL 7B Instruct

MultimodaalneSaadaval
Community pooltMudeli ID: qwen2-vl-7b-instruct-rep

Alibaba Qwen2-VL 7B served on Replicate. Open-weights vision-language model that chats about images and video, with dynamic resolution and strong OCR and document QA for its size.

Hind
≈ 0,0024 $/kĂ€ivitus
Sisend → vĂ€ljund
Tekst + Pilt + Video → Tekst
Arendaja
Community
Uuendatud
23. september 2026
01

Playground

Proovi Qwen2-VL 7B Instruct

Sisend ja vÀljund

≈ 0,0024 $/kĂ€ivitus
Proovi Qwen2-VL 7B Instruct

0 / 16 000

TĂ€psemad seaded (2)
Tulemus
Vastus ilmub siia.

See kÀivitus

umbes 0,0024 $ · 0,24 krediiti

KÀivitamisel reserveeritakse 0,0072 $ (0,72 krediiti); arveldatakse tegelik GPU aeg.

Oled siin uus?

10 tasuta krediiti (0,10 $), kui registreeritud Google'iga

Kasutatav 24 tundi pÀrast registreerimist, kuni 5 kÀivitust pÀevas ja maksimaalselt 2 krediiti kÀivituse kohta. Muud sisselogimismeetodid algavad ilma krediitideta. Piisab 13 kÀivituseks sellest mudelist.

02

Examples

Real outputs from the public examples of this model on Replicate, with the prompt and settings that produced them. They were not generated live on this page.
  • Prompt

    Describe this video in detail.

    Response

    The video features a monkey riding a skateboard in a park. The monkey is wearing roller skates and is seen moving forward on the skateboard, with its arms outstretched for balance. The park is filled with people sitting on benches and walking around, enjoying the sunny day. The monkey appears to be enjoying itself, and the scene is filled with a sense of fun and playfulness. The park is surrounded by trees and greenery, creating a peaceful and relaxing atmosphere. Overall, the video captures a unique and entertaining moment of a monkey enjoying a day out in the park on roller skates.

  • Prompt

    Describe this in detail.

    Response

    The image shows a half of an avocado on the left side, with a pit visible inside. On the right side, there is a stylized letter "A" in a bold, uppercase font. The avocado and the letter "A" are separated by a white arrow pointing from the avocado to the letter "A," indicating a transformation or relationship between the two. The background is a light beige color.

  • Prompt

    Describe this in detail.

    Response

    The image depicts a dog, specifically a Golden Retriever, enjoying a slice of watermelon. The dog is positioned on the left side of the frame, with its head lowered towards the watermelon. The watermelon is placed on a wooden table, and the dog appears to be biting into the fruit, indicating it is eating it. The background is blurred, suggesting a natural outdoor setting with greenery. The overall scene conveys a sense of relaxation and enjoyment.

03

Teave: Qwen2-VL 7B Instruct

LĂŒhidaltSeisuga 23. september 2026

Qwen2-VL 7B Instruct on mudel, mille on vĂ€lja töötanud Community kategoorias Multimodaalne. Railwail'is maksab Qwen2-VL 7B Instruct ≈ 0,0024 $ kĂ€ivituse kohta.

Qwen2-VL 7B Instruct is Alibaba's open-weights vision-language model packaged as a Replicate endpoint. It accepts an image (or video) plus a text prompt and answers questions, describes scenes, reads text in images and extracts structured data. Naive dynamic resolution and M-RoPE let it handle varied aspect ratios and longer visual inputs. A good self-hostable alternative to hosted VLMs for OCR and document tasks.
04

Hinnad

Hinnad USA dollarites. Kasutamine arvestatakse eelmakstud krediitidest.
TĂŒĂŒpiline kĂ€ivitus (≈ 2 s L40S peal)0,0024 $ kĂ€ivituse kohta
GPU-aeg (L40S)0,00117 $ GPU-sekundi kohta
  • Arvestatakse GPU-aeg, mida kĂ€ivitus tegelikult vĂ”tab. KĂ€ivituse alustamisel reserveeritakse sinu saldost 3× tĂŒĂŒpiline hind ja arvutatakse hiljem.
  • 1 krediit = 0,01 $

Kulukalkulaator

Hinna kalkulaator

s

Pakkuja andmetel tĂŒĂŒpiline: umbes 2,1 s

Kokku

0,24 $

24 krediiti

KĂ€ivituse kohta

0,0024 $ · 0,24 krediiti

Arvestatakse tegelik GPU-aeg; see on hinnang.

05

API

Kutsu Qwen2-VL 7B Instruct oma Railwail API vÔtmega. Kasuta selles pÀringus seda mudeli ID-d:

Kontrollitud API-nÀide puudub

Avalik API edastab teistsuguse sisendvormingu, kui see mudel vajab. Kasuta ĂŒlalolevat mĂ€nguvĂ€ljakut.

06

Spetsifikatsioonid

Mudeli ID
qwen2-vl-7b-instruct-rep
Arendaja
Community
Kategooria
Multimodaalne
Sisend
Tekst, Pilt, Video
VĂ€ljund
Tekst
Arveldamine
Kasutuse jÀrgi (tokenid vÔi GPU-aeg)
Kataloogi kirje uuendatud
23. september 2026

Sisendparameetrid

Mudeli sisendiskeemi sisendid ja seaded. API nÀide jaotises API nÀitab, milliseid neist API aktsepteerib.

  • promptnĂ”utav

    Question about the image or video

    TĂŒĂŒp: Tekst
    Vaikimisi: –
    Lubatud vÀÀrtused: kuni 16 000 tÀhemÀrki
  • image_url

    Image or video URL to analyze

    TĂŒĂŒp: Tekst
    Vaikimisi: –
    Lubatud vÀÀrtused: –
  • max_tokens
    TĂŒĂŒp: TĂ€isarv
    Vaikimisi: 1024
    Lubatud vÀÀrtused: 1 kuni 4096
  • temperature
    TĂŒĂŒp: Arv
    Vaikimisi: 0.7
    Lubatud vÀÀrtused: 0 kuni 2

Sildid

  • replicate
  • qwen
  • alibaba
  • vision-understanding
  • open-weights
  • ocr
07

Korduma kippuvad kĂŒsimused

Mis on Qwen2-VL 7B Instruct?

Qwen2-VL 7B Instruct on mudel, mille töötas vÀlja Community kategoorias Multimodaalne.

Kui palju maksab Qwen2-VL 7B Instruct Railwail'is?

Railwail'is maksab Qwen2-VL 7B Instruct ≈ 0,0024 $ kĂ€ivituse kohta. Sulle arvestatakse see, mida iga pĂ€ring tegelikult kasutab. Kasutamine makstakse eelnevalt ostetud krediitidest; 1 krediit vĂ”rdub 0,01 $.

Milliseid seadistusi Qwen2-VL 7B Instruct toetab?

Vastavalt sisendiskeemile teab Qwen2-VL 7B Instruct neid parameetreid: prompt (kuni 16 000 tÀhemÀrki), image_url, max_tokens (1 kuni 4096) ja temperature (0 kuni 2).

Kui kiire on Qwen2-VL 7B Instruct?

Qwen2-VL 7B Instruct kohta ei ole Railwail'is veel piisavalt mÔÔdetud kÀivitusi, et kÀivitusaega vÀita. See sÔltub sisendist, seadistustest ja pakkuja koormusest.

Kas Qwen2-VL 7B Instruct on parem kui BLIP?

See sĂ”ltub ĂŒlesandest. Qwen2-VL 7B Instruct (Community) ja BLIP (Salesforce) on mĂ”lemad mudelid kategoorias Multimodaalne. VĂ”rdlusleht nĂ€itab nende hindu ja spetsifikatsioone kĂ”rvuti.

VÔrdle Qwen2-VL 7B Instruct ja BLIP

Kas Qwen2-VL 7B Instruct saab töödelda pilte?

Jah. Qwen2-VL 7B Instruct aktsepteerib sisendina teksti kÔrval ka pilte.

08

VÔrreldavad mudelid

KÔik selles kategoorias
  • BLIPSalesforce

    Salesforce BLIP. Vision-language model for image captioning and visual question answering. Given an image it writes a short natural-language caption, or answers a question about the image when one is supplied. A widely used baseline for automatic captioning.

    ≈ 0,00030 $/kĂ€ivitus

    88 % odavam ĂŒhiku kohta

    VÔrdle Qwen2-VL 7B Instruct ja BLIP
  • pharmapsychotic's CLIP Interrogator. Takes an image and produces a Stable-Diffusion-style text prompt by combining BLIP captioning with CLIP to rank likely subjects, artists, mediums and styles. Commonly used to reverse-engineer a prompt from an existing picture.

    ≈ 0,0457 $/kĂ€ivitus

    1804 % kallim ĂŒhiku kohta

    VÔrdle Qwen2-VL 7B Instruct ja CLIP Interrogator
  • Monocular depth-estimation model trained on 595k labeled and 62M unlabeled images. Strong zero-shot generalization in indoor and outdoor scenes.

    ≈ 0,0050 $/kĂ€ivitus

    108 % kallim ĂŒhiku kohta

    VÔrdle Qwen2-VL 7B Instruct ja Depth Anything v2

KĂ”ik mudelid ĂŒhe API kaudu

Üks API vĂ”ti kĂ”igile Railwail mudelitele. Kasutamine arvestatakse eelmakstud krediitidest, 1 krediit = 0,01 $.