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Meta · Language model
Llama 4 Scout
meta-llama/llama-4-scout- Language
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...
Specifications
- Context window
- 1,310,720 tokens
- Max output
- 16,384 tokens
- Input
- text, image
- Output
- text
- Tokenizer
- Llama4
- Knowledge cutoff
- 2024-08-31
Supported parameters
Accepted by the model and forwarded as-is by the gateway.
- frequency_penalty
- logit_bias
- max_tokens
- min_p
- presence_penalty
- repetition_penalty
- response_format
- seed
- stop
- structured_outputs
- temperature
- tool_choice
- tools
- top_k
- top_p
Use it
POST /api/v1/chat/completions · MCP chat · full reference
curl https://omnirail.org/api/v1/chat/completions \
-H "Authorization: Bearer $OMNIRAIL_KEY" -H "Content-Type: application/json" \
-d '{"model":"meta-llama/llama-4-scout","messages":[{"role":"user","content":"Hello"}],"max_tokens":300}'