Explore LiquidAI: LFM2.5-24B-A2B
Liquid: LiquidAI: LFM2.5-24B-A2B
Use Cases
Here are a few ways teams apply LiquidAI: LFM2.5-24B-A2B in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.
Meeting transcription & notes
Multilingual audio translation
Audio understanding
Reliable drafting
Specs
Overview
liquid
liquid/lfm-2.5-24b-a2b
2026-10-13
Modalities & context
text
text
128,000 tokens
Parameters & defaults
Supported parameters: frequency_penalty, include_reasoning, logprobs, max_completion_tokens, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs
Defaults: temperature 0.1, top_p 0.95
Benchmark tests: LiquidAI: LFM2.5-24B-A2B
We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.
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