Llama 3.2 Vision 11B (Ollama)
llama-3-2-vision-11b-ollamaMeta Llama 3.2 11B Vision served via Ollama on Replicate. Open-weights multimodal model for image captioning, document and chart reading, and visual question answering.
- Cena
- ≈ 0,0039 $/zagon
- Vhod → Izhod
- Besedilo + Slika → Besedilo
- Razvijalec
- Community
- Posodobljeno
- 23. september 2026
Igrišče
Preizkusi Llama 3.2 Vision 11B (Ollama)
Vnos in rezultat
Ta zagon
približno 0,0039 $ · 0,39 kreditov
Na začetku se rezervira 0,0116 $ (1,16 kreditov); obračunava se dejanski čas GPU.
Novo tukaj?
10 brezplačnih kreditov (0,10 $) ob prijavi z Googlom
Uporabno 24 ur po prijavi, do 5 zaganom na dan in največ 2 kreditov na zagon. Druge metode prijave se začnejo brez kreditov. Dovolj za 8 zagonov tega modela.
Examples
InputPrompt
Where to find this monument? Can you give me other recommendations around the area?
Response
**Wat Phra Kaew (Temple of the Emerald Buddha)** in Bangkok, Thailand. Located within the Grand Palace complex, Wat Phra Kaew is a highly revered and sacred site that houses the iconic Emerald Buddha image. The temple's design incorporates traditional Thai architecture with intricate details and ornate decorations, featuring an imposing spire topped by a golden finial adorned with images of mythical creatures. **Recommendations for Your Visit:** * **Grand Palace**: Explore the sprawling palace grounds, which include several other notable temples and buildings. * **Wat Arun (Temple of Dawn)**: A nearby temple famous for its distinctive spire covered in colorful ceramics and glints of gold. * **Chao Phraya River Cruise**: Take a boat ride along the river to admire the city's skyline and learn about its history. * **Jim Thompson House Museum**: Visit this museum dedicated to Thai art and culture, featuring traditional architecture and beautiful gardens. Wat Phra Kaew is an absolute must-visit attraction when in Bangkok. With these recommendations, you'll have a well-rounded experience of the city's rich cultural heritage.
InputPrompt
How long does it take from invoice date to due date? Be short and concise.
Response
From the invoice date of 11/02/2019 to the due date of 26/02/2019, there is a difference of **15 days**. This calculation was performed by subtracting the invoice date from the due date: 26/02/2019 - 11/02/2019 = 15
InputPrompt
What happens when you take out white cat from this chain?
Response
The white cat is not present in the food web. The correct term for a wild animal would be "wildcat." If we were to remove a wildcat from the ecosystem, it would no longer be able to hunt or prey on other animals. This could have cascading effects throughout the entire ecosystem. *Answer*: Wildcat will lose its source of food and nutrients
O Llama 3.2 Vision 11B (Ollama)
Llama 3.2 Vision 11B (Ollama) je model razvijalca Community iz kategorije Multimodalno. Na Railwail stane Llama 3.2 Vision 11B (Ollama) ≈ 0,0039 $ na zagon.
Cene
| Tipičen zagon (≈ 3 s na L40S) | 0,0039 $ na zagon |
|---|---|
| Čas GPU (L40S) | 0,00117 $ na sekundo GPU |
- Obračunan je čas GPU, ki ga zagon dejansko potrebuje. Ko se zagon začne, se od vašega stanja rezervira 3× tipična cena in se pozneje poravna.
- 1 kredit = 0,01 $
Kalkulator stroškov
Kalkulator cen
Tipično po ponudniku: približno 3,3 s
Skupaj
0,39 $
39 kreditov
Na zagon
0,0039 $ · 0,39 kreditov
Obračunava se dejanski čas GPU; to je ocena.
API
Ni preverjenega primera API
Javni API prosledi drugačno obliko vnosa, kot jo potrebuje ta model. Uporabite igrišče zgoraj.
Specifikacije
- ID modela
llama-3-2-vision-11b-ollama- Razvijalec
- Community
- Kategorija
- Multimodalno
- Vhod
- Besedilo, Slika
- Izhod
- Besedilo
- Obračunavanje
- Po porabi (žetoni ali čas GPU)
- Kataložni vnos posodobljen
- 23. september 2026
Vhodne parametre
Vhodi in nastavitve iz vhodne sheme modela. Primer v razdelku API prikazuje, katere od njih API sprejema.
promptObveznoQuestion about the image
Tip: BesediloPrivzeto: –Dovoljene vrednosti: Do 16.000 znakovimage_urlImage URL to analyze
Tip: BesediloPrivzeto: –Dovoljene vrednosti: –max_tokensTip: Celo številoPrivzeto:1024Dovoljene vrednosti: 1 do 4096temperatureTip: ŠteviloPrivzeto:0.7Dovoljene vrednosti: 0 do 2
Oznake
- replicate
- meta
- llama
- vision-understanding
- open-weights
- ollama
Pogosta vprašanja
Kaj je Llama 3.2 Vision 11B (Ollama)?
Llama 3.2 Vision 11B (Ollama) je model podjetja Community iz kategorije Multimodalno.
Koliko stane Llama 3.2 Vision 11B (Ollama) na Railwailu?
Na Railwail stane Llama 3.2 Vision 11B (Ollama) ≈ 0,0039 $ na zagon. Zaračunano vam je tisto, kar vsaka zahteva dejansko porabi. Uporaba se plača s predplačanimi krediti; 1 kredit je enak 0,01 $.
Katere nastavitve podpira Llama 3.2 Vision 11B (Ollama)?
Glede na shemo vnosa Llama 3.2 Vision 11B (Ollama) pozna te parametre: prompt (Do 16.000 znakov), image_url, max_tokens (1 do 4096) in temperature (0 do 2).
Kako hiter je Llama 3.2 Vision 11B (Ollama)?
Za Llama 3.2 Vision 11B (Ollama) je na Railwailu še premalo izmerjenih zagonov, da bi navedli čas izvajanja. Odvisno je od vnosa, nastavitev in obremenitve pri ponudniku.
Je Llama 3.2 Vision 11B (Ollama) boljši od BLIP?
To je odvisno od naloge. Llama 3.2 Vision 11B (Ollama) (Community) in BLIP (Salesforce) sta oba modela iz kategorije Multimodalno. Stran za primerjavo prikazuje njune cene in specifikacije drug ob drugem.
Primerjaj Llama 3.2 Vision 11B (Ollama) in BLIPAli Llama 3.2 Vision 11B (Ollama) lahko obdeluje slike?
Da. Llama 3.2 Vision 11B (Ollama) sprejema slike kot vhod poleg besedila.
Primerljivi modeli
Vsi v tej 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.
- 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.
Vsi modeli prek ene API
En API ključ za vsak model na Railwail. Uporaba se obračuna iz vnaprej plačanih kreditov, 1 kredit = 0,01 $.