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LFM2-24B-A2B-MXFP4_MOE-GGUF/README.md
ModelHub XC 5fc18e01d5 初始化项目,由ModelHub XC社区提供模型
Model: noctrex/LFM2-24B-A2B-MXFP4_MOE-GGUF
Source: Original Platform
2026-07-22 22:00:11 +08:00

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1.1 KiB
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---
pipeline_tag: text-generation
base_model:
- LiquidAI/LFM2-24B-A2B
---
These are **MXFP4** quantizations of the model [LiquidAI / LFM2-24B-A2B](https://huggingface.co/LiquidAI/LFM2-24B-A2B)
## Quick Start
1. Download the latest release of **llama.cpp**.
2. Download your preferred model variant from below.
## Which version should I choose?
All variants use **MXFP4** for the MoE (Mixture of Experts) weights to keep the model efficient. The difference lies in how the remaining tensors are handled:
| Variant | Quality | Performance | Size | Recommendation |
| :--- | :--- | :--- | ---: | :--- |
| **BF16** | ⭐⭐⭐ | Variable* | 12.37GiB | Best for maximum accuracy; original unquantized weights. |
| **F16** | ⭐⭐ | Fast | 13.03GiB | Great alternative if BF16 is slow on your hardware. |
| **Q8** | ⭐ | Fastest | 13.03GiB | Balanced performance and memory usage. |
**Note:** On some older architectures, BF16 may be slower than F16.
Check that your GPU supports native BF16
Recommended parameters from LiquidAI:
- temperature 0.1
- top-k 50
- repetition_penalty 1.05