DeepSeek-VL 7B
deepseek-vl-7bDeepSeek-VL 7B chat model. Vision-language model with hybrid vision encoder and strong real-world visual question answering performance.
- Hind
- â 0,0086 $/kĂ€ivitus
- Kontekst
- 4096 tokenit
- Maks. vÀljund
- 2048 tokenit
- Sisend â vĂ€ljund
- Tekst + Pilt â Tekst
- Arendaja
- DeepSeek
- Uuendatud
- 23. september 2026
Playground
Proovi DeepSeek-VL 7B
Sisendvorm puudub
Selle mudeli jaoks pole veel sisendvormi
Selle sisendid pole veel dokumenteeritud. Et kÀivitus ei ebaÔnnestunuks vale sisendi tÔttu, ei paku me siin vormi. Vali selle asemel sarnane mudel.
Examples
InputPrompt
Describe each stage of this image
Response
The image depicts a three-stage process for training a vision-language model. 1. Stage 1: Training VL Adapter: In this stage, a vision-language adapter is trained using supervised fine-tuning. The adapter is trained on image-text pairs and pure language sequences. 2. Stage 2: Joint VL Pre-training: In this stage, a joint vision-language model is pre-trained using self-supervised learning. The model is trained on image-text pairs and pure language sequences. 3. Stage 3: Supervised Fine-tuning: In this stage, the model is fine-tuned on supervised tasks using image-text pairs and pure language sequences. The model is trained using a hybrid vision-language adapter, which combines a vision-language adapter with a language model. The model is trained on a variety of tasks, including image captioning, visual question answering, and visual reasoning. The model is able to understand the visual content of an image and generate a natural language description or answer.
InputPrompt
Describe this image
Response
The image you've provided is a meme featuring a French Bulldog lying on its side on a blue wooden floor. The dog's head is resting on its paws, and it appears to be sleeping. The meme has a text overlay that reads "MONDAY. JUST...MONDAY." This suggests that the meme is making a humorous comment about the start of the work week. The dog's relaxed posture and the text overlay together create a light-hearted and relatable message.
Teave: DeepSeek-VL 7B
DeepSeek-VL 7B on mudel, mille on vĂ€lja töötanud DeepSeek kategoorias Multimodaalne. Railwail'is maksab DeepSeek-VL 7B â 0,0086 $ kĂ€ivituse kohta. Konteksti aken sisaldab 4096 mĂ€rksĂ”na ja ĂŒks vastus vĂ”ib olla kuni 2048 mĂ€rksĂ”na pikkune.
Hinnad
| TĂŒĂŒpiline kĂ€ivitus (â 7 s L40S peal) | 0,0086 $ 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 7,3 s
Kokku
0,86Â $
86 krediiti
KĂ€ivituse kohta
0,0086 $ · 0,86 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
deepseek-vl-7b- Arendaja
- DeepSeek
- Kategooria
- Multimodaalne
- Sisend
- Tekst, Pilt
- VĂ€ljund
- Tekst
- Konteksti aken
- 4096 tokenit
- Maks. vÀljund
- 2048 tokenit
- Arveldamine
- Kasutuse jÀrgi (tokenid vÔi GPU-aeg)
- Kataloogi kirje uuendatud
- 23. september 2026
Sildid
- replicate
- multimodal
- vision-understanding
- deepseek
- open-weights
Korduma kippuvad kĂŒsimused
Mis on DeepSeek-VL 7B?
DeepSeek-VL 7B on mudel, mille töötas vÀlja DeepSeek kategoorias Multimodaalne.
Kui palju maksab DeepSeek-VL 7B Railwail'is?
Railwail'is maksab DeepSeek-VL 7B â 0,0086 $ kĂ€ivituse kohta. Sulle arvestatakse see, mida iga pĂ€ring tegelikult kasutab. Kasutamine makstakse eelnevalt ostetud krediitidest; 1 krediit vĂ”rdub 0,01 $.
Kui suur on DeepSeek-VL 7B konteksti aken?
DeepSeek-VL 7B konteksti aken sisaldab 4096 mĂ€rksĂ”na. Ăks vastus vĂ”ib olla kuni 2048 mĂ€rksĂ”na pikkune.
Kui kiire on DeepSeek-VL 7B?
DeepSeek-VL 7B kohta ei ole Railwail'is veel piisavalt mÔÔdetud kÀivitusi, et kÀivitusaega vÀita. See sÔltub sisendist, seadistustest ja pakkuja koormusest.
Kas DeepSeek-VL 7B on parem kui BLIP?
See sĂ”ltub ĂŒlesandest. DeepSeek-VL 7B (DeepSeek) ja BLIP (Salesforce) on mĂ”lemad mudelid kategoorias Multimodaalne. VĂ”rdlusleht nĂ€itab nende hindu ja spetsifikatsioone kĂ”rvuti.
VÔrdle DeepSeek-VL 7B ja BLIPKas DeepSeek-VL 7B saab töödelda pilte?
Jah. DeepSeek-VL 7B 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 $.