LiquidAI: LFM3-1.7B
- by liquid
- liquid/lfm-3-1.7b
A compact 1.7B-parameter text model with a 256K-token context, post-trained for agents, tool calling, and structured outputs. It reasons before it answers. Prompts and outputs may be retained and used...
What the numbers mean
- Context window262,144 tokens
- How much the model can read in one request, counting your prompt, any files and the conversation so far. That is about 200,000 words, or 393 pages.
- Max output8,192 tokens
- The longest single reply it can write: about 6,100 words.
- Input price$0.08 per million tokens
- What you pay for everything the model reads. A 1,000-word prompt costs less than a cent.
- Output price$0.2 per million tokens
- What you pay for everything the model writes. Output usually costs more than input. A 500-word answer costs less than a cent.
- Modalitiestext in, text out
- The kinds of content it accepts and the kinds it produces. A model that takes images in can read a screenshot; one that only puts text out cannot draw.
Supported parameters
The settings you can pass with a request. A model that lists tools can call functions; one that lists structured_outputs can be held to a JSON schema.
frequency_penaltyinclude_reasoninglogprobsmax_completion_tokensmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_format