LiquidAI/LFM2.5-24B-A2B
text-generation model by LiquidAI
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Model card & documentation
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LFM2.5-24B-A2B is a 24B-parameter reasoning model with only 2B active parameters, built for fast, private agents on-device. It is the largest and final model in the LFM2.5 family, which now spans two orders of magnitude: from LFM2.5-230M to LFM2.5-24B-A2B. Find more information about LFM2.5-24B-A2B in our blog post. LFM2.5-24B-A2B is a general-purpose text-only reasoning model with the following features: We recommend using it for agents that need to reason, call tools, and run reliably on your device. It is not recommended for knowledge-heavy tasks on its own: pair it with retrieval or web search, which plays to its tool-calling strength. LFM2.5 uses a ChatML-like format. See the Chat Template documentation for details. Example: You can use tokenizer.applychattemplate() to format your messages automatically. LFM2.5 supports function calling in four steps: See the Tool Use documentation for the full guide. Example: LFM2.5-24B-A2B keeps the LFM2-24B-A2B architecture with two changes: the context window…
Read the full model card ↗ · Preview checked 2026-10-31T09:35:20.867Z
Inside the original model card — Document outline
- LFM2.5-24B-A2B
- 🗒️ Model Details
- Chat Template
- Tool Use
- Training
- 🏃 Inference
- Quick start
- Agentic Harnesses
- 🔧 Fine-Tuning
- 📊 Performance
- Benchmarks
- Edge Inference
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Model overview
LiquidAI/LFM2.5-24B-A2B is a text-generation model repository published by LiquidAI on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 21,324
- Cumulative likes
- 582
- Hugging Face trending score
- 65
- Reported safetensors parameters
- 23,971,585,280
- Architecture
- Lfm2MoeForCausalLM
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-10-12T05:35:46.000Z
- Last modified
- 2026-10-21T01:14:14.000Z
Compatibility and lineage
Reported languages: en, ar, zh, fr, de, ja, ko, es, pt, it, vi, th, id, hi, ru, pl
Reported base models: LiquidAI/LFM2.5-24B-A2B-Base
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-27T06:46:19.176Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.