AI Observatory / Model Radar
Liquid / liquid/lfm-2.5-1.2b-instruct:free
LiquidAI: LFM2.5-1.2B-Instruct (free)
LFM2.5-1.2B-Instruct is a compact, high-performance instruction-tuned model built for fast on-device AI. It delivers strong chat quality in a 1.2B parameter footprint, with efficient edge inference and broad runtime support.
32,768
Context
N/A
Max output
<$0.01 / 1M
Prompt price
2026-01-20
Created
01 / Snapshot
Pricing, context, modalities, and parameters.
Model Radar detail pages stay neutral and operator-readable: core metadata first, then workflow fit.
| Provider | Liquid | Input modalities | text |
|---|---|---|---|
| Output modalities | text | Prompt price | <$0.01 / 1M |
| Completion price | <$0.01 / 1M | Request price | N/A |
| Context length | 32,768 | Max completion tokens | N/A |
| Supported parameters | frequency_penalty, max_tokens, min_p, presence_penalty, repetition_penalty, seed, stop, temperature, top_k, top_p | ||
Best for
liquid/lfm-2.5-1.2b-instruct:free
LiquidAI: LFM2.5-1.2B-Instruct (free)
LFM2.5-1.2B-Instruct is a compact, high-performance instruction-tuned model built for fast on-device AI. It delivers strong chat quality in a 1.2B parameter footprint, with efficient edge inference and broad runtime support.
High-volume usage
new
low-cost
03 / Colophon
Routes and exits.
Each model page stays simple: overview, compare, related models, then back to the public hub.