Qwen2-VL 7B Instruct
qwen2-vl-7b-instruct-repAlibaba 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
- â 0,0024 $/kĂ€ivitus
- Sisend â vĂ€ljund
- Tekst + Pilt + Video â Tekst
- Arendaja
- Community
- Uuendatud
- 23. september 2026
Playground
Proovi Qwen2-VL 7B Instruct
Sisend ja vÀljund
See kÀivitus
umbes 0,0024 $ · 0,24 krediiti
KĂ€ivitamisel reserveeritakse 0,0072Â $ (0,72 krediiti); arveldatakse tegelik GPU aeg.
Oled siin uus?
10 tasuta krediiti (0,10Â $), 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.
Examples
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.
Teave: Qwen2-VL 7B Instruct
Qwen2-VL 7B Instruct on mudel, mille on vĂ€lja töötanud Community kategoorias Multimodaalne. Railwail'is maksab Qwen2-VL 7B Instruct â 0,0024 $ kĂ€ivituse kohta.
Hinnad
| TĂŒĂŒpiline kĂ€ivitus (â 2 s L40S peal) | 0,0024 $ kĂ€ivituse kohta |
|---|---|
| GPU-aeg (L40S) | 0,00117Â $ GPU-sekundi kohta |
- Arvestatakse GPU-aeg, mida kĂ€ivitus tegelikult vĂ”tab. KĂ€ivituse alustamisel reserveeritakse sinu saldost 3Ă tĂŒĂŒpiline hind ja arvutatakse hiljem.
- 1 krediit = 0,01Â $
Kulukalkulaator
Hinna kalkulaator
Pakkuja andmetel tĂŒĂŒpiline: umbes 2,1 s
Kokku
0,24Â $
24 krediiti
KĂ€ivituse kohta
0,0024 $ · 0,24 krediiti
Arvestatakse tegelik GPU-aeg; see on hinnang.
API
Kontrollitud API-nÀide puudub
Avalik API edastab teistsuguse sisendvormingu, kui see mudel vajab. Kasuta ĂŒlalolevat mĂ€nguvĂ€ljakut.
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.
promptnÔutavQuestion about the image or video
TĂŒĂŒp: TekstVaikimisi: âLubatud vÀÀrtused: kuni 16 000 tĂ€hemĂ€rkiimage_urlImage or video URL to analyze
TĂŒĂŒp: TekstVaikimisi: âLubatud vÀÀrtused: âmax_tokensTĂŒĂŒp: TĂ€isarvVaikimisi:1024Lubatud vÀÀrtused: 1 kuni 4096temperatureTĂŒĂŒp: ArvVaikimisi:0.7Lubatud vÀÀrtused: 0 kuni 2
Sildid
- replicate
- qwen
- alibaba
- vision-understanding
- open-weights
- ocr
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 â 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 BLIPKas Qwen2-VL 7B Instruct saab töödelda pilte?
Jah. Qwen2-VL 7B Instruct aktsepteerib sisendina teksti kÔrval ka pilte.
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.
- CLIP InterrogatorCommunity
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.
- Depth Anything v2Community
Monocular depth-estimation model trained on 595k labeled and 62M unlabeled images. Strong zero-shot generalization in indoor and outdoor scenes.
KĂ”ik mudelid ĂŒhe API kaudu
Ăks API vĂ”ti kĂ”igile Railwail mudelitele. Kasutamine arvestatakse eelmakstud krediitidest, 1 krediit = 0,01 $.