Model Intelligence Sheet
ggml-org/LFM2.5-24B-A2B-GGUF overview
LFM2.5 24B A2B Run with https://llama.app bash llama serve hf ggml org/LFM2.5 24B A2B GGUF Source models https://huggingface.co/LiquidAI/LFM2.5 24B A2B Notes Q…
Runs locally from ~13.53 GB disk (16 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
Model Details
| Model ID | ggml-org/LFM2.5-24B-A2B-GGUF |
|---|---|
| Author | ggml-org |
| Pipeline | text-generation |
| License | other |
| Base model | LiquidAI/LFM2.5-24B-A2B |
| Last modified | 2026-10-15T14:18:45.000Z |
Model README
---
license: other
license_name: lfm1.0
license_link: https://huggingface.co/LiquidAI/LFM2.5-24B-A2B/blob/main/LICENSE
pipeline_tag: text-generation
tags:
- gguf
- quantized
base_model:
- LiquidAI/LFM2.5-24B-A2B
---
LFM2.5-24B-A2B
Run with https://llama.app
llama serve -hf ggml-org/LFM2.5-24B-A2B-GGUFSource models
- https://huggingface.co/LiquidAI/LFM2.5-24B-A2B
Notes
- Q8_0 and Q4_K_M use the same quantization as LiquidAI's own GGUFs: https://huggingface.co/LiquidAI/LFM2.5-24B-A2B-GGUF
- For a smaller build, LiquidAI also publishes a Quantization-Aware Distillation (QAD) Q4_0, trained to recover the accuracy lost to Q4_0 quantization.
TODOs
- add info
> [!IMPORTANT]
> This model is automatically converted using https://github.com/ggml-org/convert
Run ggml-org/LFM2.5-24B-A2B-GGUF with guIDE
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Source: Hugging Face · Compare models