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Llama 3.3

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meta-llama/llama-3.3-70b-instruct

Run Llama 3.3 in a hosted Python Task with structured output and file inputs.

Meta's open-source Llama 3.3 model (70B parameters) via OpenRouter. Instruction-tuned for helpful, high-quality responses.

What Llama 3.3 supports in qbash

  • Structured outputReplies as JSON that matches a schema you pass.
  • Document inputReads TEXT, XLS, XLSX and RTF files.

What is qbash?

qbash is where you build Tasks: Python programs that run a business process on managed infrastructure. Your code runs the steps and calls a model like Llama 3.3 only at the ones that need judgment, with integrations, memory and files available in the same script.

A developer writes the Task once, and anyone on the team runs it from a form, on a schedule, from a webhook or from chat. Each Task is versioned and every run is logged.

How Tasks work

Specifications

Context window
128Ktokens
Max output
2,048tokens
Temperature
0 to 1default 1

Structured output with Llama 3.3 in a Python Task

qbash.ai.raw calls Llama 3.3 from a Task. Pass a JSON Schema as output_schema and the reply comes back as a Python dict that matches it, ready to route to a connector.

main.py
ticket = qbash.inputs.get("ticket")

triage = qbash.ai.raw(
    f"Summarize this support ticket and rate its urgency:\n\n{ticket}",
    model="meta-llama/llama-3.3-70b-instruct",
    output_schema={
        "type": "object",
        "properties": {
            "summary": {"type": "string"},
            "urgency": {"type": "string", "enum": ["low", "medium", "high"]},
        },
        "required": ["summary", "urgency"],
    },
)

# triage is a dict, e.g. {"summary": "...", "urgency": "high"}
if triage["urgency"] == "high":
    qbash.integrations.slack.create_message(
        channel="#support",
        text=triage["summary"],
    )

qbash.output(triage)
Structured output in Tasks

Llama 3.3 pricing

Input$0.10 per 1M tokens
Output$0.32 per 1M tokens

Standard rates in USD.

Supported file formats

Documents

  • TEXT
  • XLS
  • XLSX
  • RTF

Automate Llama 3.3 with qbash