Arcee Trinity Large Preview (Free)

arcee-ai/trinity-large-preview:free

Run Arcee Trinity Large Preview (Free) in a hosted Python Task with file inputs.

Arcee AI's Trinity Large free model via OpenRouter. 400B-parameter sparse MoE excelling in creative writing and agentic navigation. Suitable for real-world applications with free tier access.

Deprecated model

This model is deprecated and not recommended for new projects.

What Arcee Trinity Large Preview (Free) supports in qbash

Document inputReads PDF, TEXT, DOC, XLS, RTF and 7 more 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 Arcee Trinity Large Preview (Free) 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: 131Ktokens
Max output: 8,192tokens
Temperature: 0 to 2default 1

Use Arcee Trinity Large Preview (Free) in a Python Task

qbash.ai.raw calls Arcee Trinity Large Preview (Free) from a Task and returns its reply as a string.

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

summary = qbash.ai.raw(
    f"Summarize these meeting notes in five bullets:\n\n{notes}",
    model="arcee-ai/trinity-large-preview:free",
    system="You are a concise analyst.",
)

qbash.output({"summary": summary})

Model calls in Tasks