---
license: apache-2.0
language:
- en
tags:
- automatic-speech-recognition
- hf-asr-leaderboard
- whisper
- qwen
- llama-cpp
- gguf-my-repo
pipeline_tag: automatic-speech-recognition
base_model: bosonai/higgs-audio-v3-8b-stt-v2
model-index:
- name: higgs-audio-v3-8b-stt-v2
  results:
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: AMI (Meetings test)
      type: edinburghcstr/ami
      config: ihm
      split: test
      args:
        language: en
    metrics:
    - type: wer
      value: 10.14
      name: Test WER
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: Earnings-22
      type: revdotcom/earnings22
      split: test
      args:
        language: en
    metrics:
    - type: wer
      value: 8.73
      name: Test WER
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: GigaSpeech
      type: speechcolab/gigaspeech
      split: test
      args:
        language: en
    metrics:
    - type: wer
      value: 8.47
      name: Test WER
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: LibriSpeech (clean)
      type: librispeech_asr
      config: clean
      split: test
      args:
        language: en
    metrics:
    - type: wer
      value: 1.25
      name: Test WER
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: LibriSpeech (other)
      type: librispeech_asr
      config: other
      split: test
      args:
        language: en
    metrics:
    - type: wer
      value: 2.38
      name: Test WER
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: SPGI Speech
      type: kensho/spgispeech
      config: test
      split: test
      args:
        language: en
    metrics:
    - type: wer
      value: 3.6
      name: Test WER
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: tedlium-v3
      type: LIUM/tedlium
      config: release1
      split: test
      args:
        language: en
    metrics:
    - type: wer
      value: 3.09
      name: Test WER
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: Vox Populi
      type: facebook/voxpopuli
      config: en
      split: test
      args:
        language: en
    metrics:
    - type: wer
      value: 5.92
      name: Test WER
---

# nopesadly/higgs-audio-v3-8b-stt-v2-Q4_K_M-GGUF
This model was converted to GGUF format from [`bosonai/higgs-audio-v3-8b-stt-v2`](https://huggingface.co/bosonai/higgs-audio-v3-8b-stt-v2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/bosonai/higgs-audio-v3-8b-stt-v2) for more details on the model.

## Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)

```bash
brew install llama.cpp

```
Invoke the llama.cpp server or the CLI.

### CLI:
```bash
llama-cli --hf-repo nopesadly/higgs-audio-v3-8b-stt-v2-Q4_K_M-GGUF --hf-file higgs-audio-v3-8b-stt-v2-q4_k_m.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo nopesadly/higgs-audio-v3-8b-stt-v2-Q4_K_M-GGUF --hf-file higgs-audio-v3-8b-stt-v2-q4_k_m.gguf -c 2048
```

Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.
```
git clone https://github.com/ggerganov/llama.cpp
```

Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
```
cd llama.cpp && LLAMA_CURL=1 make
```

Step 3: Run inference through the main binary.
```
./llama-cli --hf-repo nopesadly/higgs-audio-v3-8b-stt-v2-Q4_K_M-GGUF --hf-file higgs-audio-v3-8b-stt-v2-q4_k_m.gguf -p "The meaning to life and the universe is"
```
or
```
./llama-server --hf-repo nopesadly/higgs-audio-v3-8b-stt-v2-Q4_K_M-GGUF --hf-file higgs-audio-v3-8b-stt-v2-q4_k_m.gguf -c 2048
```