Qwen2-VL 7B Instruct

MultimodalniDostupno
od CommunityID modela: 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.

Cijena
≈ 0,0024 US$/pokretanje
Ulaz → izlaz
Tekst + Slika + Video → Tekst
Razvojni inženjer
Community
Ažurirano
23. septembar 2026.
01

Playground

Isprobaj Qwen2-VL 7B Instruct

Unos i rezultat

≈ 0,0024 US$/pokretanje
Isprobaj Qwen2-VL 7B Instruct

0 / 16.000

Napredne postavke (2)
Rezultat
Odgovor se pojavljuje ovdje.

Ovaj pokus

oko 0,0024 US$ · 0,24 kredita

Na početku se rezervira 0,0072 US$ (0,72 kredita); naplata se vrši prema stvarnom GPU vremenu.

Novi si ovdje?

10 besplatnih kredita (0,10 US$) kada se registriraš s Googlom

Dostupno 24 sati nakon registracije, do 5 pokusa dnevno i najviše 2 kredita po pokusu. Ostale metode prijave počinju bez kredita. Dovoljno za 13 pokretanja ovog modela.

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

O Qwen2-VL 7B Instruct

UkratkoStanje: 23. septembar 2026.

Qwen2-VL 7B Instruct je model od Community iz kategorije Multimodalni. Na Railwailu, Qwen2-VL 7B Instruct košta ≈ 0,0024 US$ po pokretanju.

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

Cijene

Cijene u USD-u. Korištenje se naplaćuje iz unaprijed plaćenih kredita.
Tipično pokretanje (≈ 2 s na L40S)0,0024 US$ po pokretanju
GPU vrijeme (L40S)0,00117 US$ po GPU sekundi
  • Naplaćuje se prema GPU vremenu koje pokretanje zapravo traje. Kada se pokretanje počne, 3× tipična cijena se rezervira iz vašeg stanja i naknadno se namiruje.
  • 1 kredit = 0,01 US$

Kalkulator troškova

Kalkulator cijena

s

Tipično prema pružatelju: oko 2,1 s

Ukupno

0,24 US$

24 kredita

Po pokretanju

0,0024 US$ · 0,24 kredita

Naplaćuje se stvarno GPU vrijeme; ovo je procjena.

05

API

Pozovi Qwen2-VL 7B Instruct sa svojim Railwail API ključem. Koristi ovaj ID modela u zahtjevu:

Nema provjeren primjer API-ja

Javni API prosleđuje drugačiji format unosa nego što ovaj model trebuje. Koristite playground gore.

06

Specifikacije

ID modela
qwen2-vl-7b-instruct-rep
Razvojni inženjer
Community
Kategorija
Multimodalni
Ulaz
Tekst, Slika, Video
Izlaz
Tekst
Naplata
Po potrošnji (tokeni ili GPU vrijeme)
Katalog ažuriran
23. septembar 2026.

Parametri ulaza

Ulazi i postavke iz sheme ulaza modela. Primjer u odjeljku API pokazuje koje od njih API prihvaća.

  • promptobavezno

    Question about the image or video

    Tip: Tekst
    Zadano: –
    Dozvoljene vrijednosti: do 16.000 znakova
  • image_url

    Image or video URL to analyze

    Tip: Tekst
    Zadano: –
    Dozvoljene vrijednosti: –
  • max_tokens
    Tip: Cijeli broj
    Zadano: 1024
    Dozvoljene vrijednosti: 1 do 4.096
  • temperature
    Tip: Broj
    Zadano: 0.7
    Dozvoljene vrijednosti: 0 do 2

Oznake

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

Često postavljana pitanja

Što je Qwen2-VL 7B Instruct?

Qwen2-VL 7B Instruct je model od Community iz kategorije Multimodalni.

Koliko stoji Qwen2-VL 7B Instruct na Railwailu?

Na Railwailu, Qwen2-VL 7B Instruct košta ≈ 0,0024 US$ po pokretanju. Naplaćuje se ono što svaki zahtjev zapravo koristi. Korištenje se plaća iz unaprijed kupljenih kredita; 1 kredit jednaka je 0,01 US$.

Koje postavke podržava Qwen2-VL 7B Instruct?

Prema svojoj shemi unosa, Qwen2-VL 7B Instruct poznaje ove parametre: prompt (do 16.000 znakova), image_url, max_tokens (1 do 4.096) i temperature (0 do 2).

Koliko je brz Qwen2-VL 7B Instruct?

Za Qwen2-VL 7B Instruct na Railwailu još nema dovoljno izmjerenih pokretanja da bi se navedlo vrijeme izvršavanja. Ovisi o unošenju, postavkama i opterećenju kod pružatelja.

Je li Qwen2-VL 7B Instruct bolji od BLIP?

To ovisi o zadatku. Qwen2-VL 7B Instruct (Community) i BLIP (Salesforce) su oba modela iz kategorije Multimodalni. Stranica za usporedbu prikazuje njihove cijene i specifikacije usporedno.

Usporedi Qwen2-VL 7B Instruct i BLIP

Može li Qwen2-VL 7B Instruct obraditi slike?

Da. Qwen2-VL 7B Instruct prihvaća slike kao unos osim teksta.

08

Usporedivi modeli

Svi u ovoj kategoriji
  • 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 US$/pokretanje

    88 % jeftinije po jedinici

    Usporedi Qwen2-VL 7B Instruct i 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 US$/pokretanje

    1.804 % skupnije po jedinici

    Usporedi Qwen2-VL 7B Instruct i 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 US$/pokretanje

    108 % skupnije po jedinici

    Usporedi Qwen2-VL 7B Instruct i Depth Anything v2

Svi modeli preko jednog API-ja

Jedan API ključ za sve modele na Railwailu. Korištenje se naplaćuje iz unaprijed plaćenih kredita, 1 kredit = 0,01 US$.