Models / Vision / Arcee AI Spotlight
Arcee AI Spotlight
Chat
Vision
7B vision-language model based on Qwen2.5-VL, refined by Arcee AI for visual tasks with a 32K context length for rich interaction.
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API Usage
How to use Arcee AI SpotlightModel CardPrompting Arcee AI SpotlightApplications & Use CasesAPI Usage
Endpoint
arcee-ai/arcee-spotlight
RUN INFERENCE
curl -X POST "https://api.together.xyz/v1/chat/completions" \
-H "Authorization: Bearer $TOGETHER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "arcee_ai/arcee-spotlight",
"messages": [{"role": "user", "content": "What are some fun things to do in New York?"}]
}'
JSON RESPONSE
RUN INFERENCE
from together import Together
client = Together()
response = client.chat.completions.create(
model="arcee_ai/arcee-spotlight",
messages=[{"role": "user", "content": "What are some fun things to do in New York?"}]
)
print(response.choices[0].message.content)
JSON RESPONSE
RUN INFERENCE
import Together from "together-ai";
const together = new Together();
const response = await together.chat.completions.create({
messages: [{"role": "user", "content": "What are some fun things to do in New York?"}],
model: "arcee_ai/arcee-spotlight"
});
console.log(response.choices[0].message.content)
JSON RESPONSE
Model Provider:
Arcee AI
Type:
Chat
Variant:
Parameters:
8.29B
Deployment:
✔ Serverless
Quantization
Context length:
128k
Pricing:
$0.18
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Quickstart docs
Quickstart docs
How to use Arcee AI Spotlight
Model details
Prompting Arcee AI Spotlight
Applications & Use Cases
Looking for production scale? Deploy on a dedicated endpoint
Deploy Arcee AI Spotlight on a dedicated endpoint with custom hardware configuration, as many instances as you need, and auto-scaling.
