unsloth/LFM2.5-24B-A2B-GGUF

text-generation model by unsloth

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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…

unsloth/LFM2.5-24B-A2B-GGUF on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. Run and train LFM2.5 via the Unsloth Desktop app
  2. LFM2.5-24B-A2B
  3. 🗒️ Model Details
  4. Chat Template
  5. Tool Use
  6. Training
  7. 📊 Performance
  8. Benchmarks
  9. Edge Inference
  10. GPU Inference
  11. 📬 Contact
  12. Citation

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Model overview

unsloth/LFM2.5-24B-A2B-GGUF is a text-generation model repository published by unsloth 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)
50,006
Cumulative likes
95
Hugging Face trending score
69
Reported safetensors parameters
Not reported
Architecture
Not reported
License
other
Access
Not gated by Hugging Face
Created
2026-10-13T14:19:48.000Z
Last modified
2026-10-20T06:55:37.000Z

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

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.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-10-21T06:43:12.081Z. Daily imports are snapshots, not real-time monitoring.

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