---
base_model: LiquidAI/LFM2.5-Audio-1.5B
base_model_relation: quantized
library_name: gguf
tags:
  - gguf
  - quantized
---

# LFM2.5-Audio-1.5B GGUF

Highest quality quant - original LiquidAI's GGUFs are FP16, which may degrade quality by clipping values. (Or maybe not, but why risk it?)

In this repo:

- Base model in BF16, and Q6_K converted from BF16

- Mmproj in BF16

- Vocoder in BF16

- TTS tokenizer in BF16 and F32 (original tensors are F32)

- Combined vocoder+tokenizer in BF16



Base and mmproj converted using base llama.cpp, tokenizer and vocoder converted using the script from https://github.com/ggml-org/llama.cpp/pull/18641



Text and ASR inference works in baseline llama.cpp. For TTS, use their fork.