Liquid LFM 2.5 1.2B Thinking (Free)

liquid/lfm-2.5-1.2b-thinking:free

Run Liquid LFM 2.5 1.2B Thinking (Free) in a hosted Python Task with file inputs.

LiquidAI's lightweight thinking model via OpenRouter. Compact 1.2B parameter model optimized for edge devices and resource-constrained environments. Excels at agentic tasks, data extraction, and RAG applications. Free tier available.

Deprecated model

This model is deprecated and not recommended for new projects.

What Liquid LFM 2.5 1.2B Thinking (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 Liquid LFM 2.5 1.2B Thinking (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: 33Ktokens
Max output: 8,192tokens
Temperature: 0 to 2default 1

Use Liquid LFM 2.5 1.2B Thinking (Free) in a Python Task

qbash.ai.raw calls Liquid LFM 2.5 1.2B Thinking (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="liquid/lfm-2.5-1.2b-thinking:free",
    system="You are a concise analyst.",
)

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

Model calls in Tasks