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Model: noctrex/LFM2-24B-A2B-MXFP4_MOE-GGUF Source: Original Platform
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README.md
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README.md
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---
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pipeline_tag: text-generation
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base_model:
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- LiquidAI/LFM2-24B-A2B
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---
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These are **MXFP4** quantizations of the model [LiquidAI / LFM2-24B-A2B](https://huggingface.co/LiquidAI/LFM2-24B-A2B)
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## Quick Start
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1. Download the latest release of **llama.cpp**.
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2. Download your preferred model variant from below.
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## Which version should I choose?
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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:
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| Variant | Quality | Performance | Size | Recommendation |
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| :--- | :--- | :--- | ---: | :--- |
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| **BF16** | ⭐⭐⭐ | Variable* | 12.37GiB | Best for maximum accuracy; original unquantized weights. |
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| **F16** | ⭐⭐ | Fast | 13.03GiB | Great alternative if BF16 is slow on your hardware. |
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| **Q8** | ⭐ | Fastest | 13.03GiB | Balanced performance and memory usage. |
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**Note:** On some older architectures, BF16 may be slower than F16.
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Check that your GPU supports native BF16
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Recommended parameters from LiquidAI:
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- temperature 0.1
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- top-k 50
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- repetition_penalty 1.05
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