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Model: liodon-ai/LFM2.5-8B-A1B-imatrix-GGUF
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2026-08-07 23:57:20 +08:00
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---
license: other
base_model: LiquidAI/LFM2.5-8B-A1B
base_model_relation: quantized
pipeline_tag: text-generation
library_name: gguf
tags:
- gguf
- ollama
- local-llm
- llama.cpp
- lm-studio
- quantized
- imatrix
- sub-4-bit
quantized_by: liodon-ai
---
# LFM2.5-8B-A1B — iMatrix GGUF
GGUF quantizations of [LiquidAI/LFM2.5-8B-A1B](https://huggingface.co/LiquidAI/LFM2.5-8B-A1B), published by [Liodon AI](https://huggingface.co/liodon-ai).
## Quick Start
**llama.cpp**
```bash
llama-cli -hf liodon-ai/LFM2.5-8B-A1B-imatrix-GGUF:Q4_K_M
```
**Ollama**
```bash
ollama run hf.co/liodon-ai/LFM2.5-8B-A1B-imatrix-GGUF:Q4_K_M
```
**LM Studio / Jan** — search `liodon-ai/LFM2.5-8B-A1B-imatrix-GGUF` and pick your quant.
## Quants
| Quant | Size | VRAM est. | Notes |
|-------|------|-----------|-------|
| `IQ2_M` | 2.84 GB | ~3 GB | 2-bit, iMatrix — smallest usable |
| `IQ3_M` | 3.78 GB | ~4 GB | 3-bit, iMatrix — great quality/size tradeoff |
| `IQ4_XS` | 4.59 GB | ~5 GB | 4-bit extra-small, iMatrix |
| `Q4_K_M` | 5.16 GB | ~6 GB | 4-bit, iMatrix-calibrated (recommended) |
| `Q5_K_M` | 6.03 GB | ~7 GB | 5-bit, iMatrix-calibrated |
| `Q6_K` | 6.96 GB | ~8 GB | 6-bit, iMatrix-calibrated, near-lossless |
| `Q8_0` | 9.01 GB | ~10 GB | 8-bit, essentially lossless |
## What is iMatrix?
Standard quantization treats all weights equally. iMatrix runs 128 calibration chunks through
the full-precision model to find which weights matter most, then allocates more precision where
it counts. At Q2/Q3/Q4 this means noticeably better coherence and instruction-following —
**same file size, better output**.
Calibration: 2M tokens of [WikiText-103](https://huggingface.co/datasets/wikitext).
> Also see plain (non-iMatrix) quants: `liodon-ai/LFM2.5-8B-A1B-GGUF`
## Source
- **Model**: [LiquidAI/LFM2.5-8B-A1B](https://huggingface.co/LiquidAI/LFM2.5-8B-A1B)
- **License**: other
---
*Quantized by [Liodon AI](https://huggingface.co/liodon-ai)*