Instructions to use mradermacher/Audar-ASR-V1-Turbo-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mradermacher/Audar-ASR-V1-Turbo-GGUF with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("automatic-speech-recognition", model="mradermacher/Audar-ASR-V1-Turbo-GGUF")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mradermacher/Audar-ASR-V1-Turbo-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mradermacher/Audar-ASR-V1-Turbo-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf mradermacher/Audar-ASR-V1-Turbo-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/Audar-ASR-V1-Turbo-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf mradermacher/Audar-ASR-V1-Turbo-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/Audar-ASR-V1-Turbo-GGUF:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf mradermacher/Audar-ASR-V1-Turbo-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf mradermacher/Audar-ASR-V1-Turbo-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf mradermacher/Audar-ASR-V1-Turbo-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mradermacher/Audar-ASR-V1-Turbo-GGUF:Q4_K_M

Use Docker

docker model run hf.co/mradermacher/Audar-ASR-V1-Turbo-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use mradermacher/Audar-ASR-V1-Turbo-GGUF with Ollama:
```
ollama run hf.co/mradermacher/Audar-ASR-V1-Turbo-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use mradermacher/Audar-ASR-V1-Turbo-GGUF with Docker Model Runner:
```
docker model run hf.co/mradermacher/Audar-ASR-V1-Turbo-GGUF:Q4_K_M
```

Lemonade

How to use mradermacher/Audar-ASR-V1-Turbo-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mradermacher/Audar-ASR-V1-Turbo-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Audar-ASR-V1-Turbo-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

mradermacher commited on 23 days ago

Commit

92e7678

verified ·

1 Parent(s): 726b95d

uploaded from nico1

Browse files

Files changed (1) hide show

README.md +9 -0

README.md ADDED Viewed

	@@ -0,0 +1,9 @@

+<!-- ### quantize_version: 2 -->
+<!-- ### output_tensor_quantised: 1 -->
+<!-- ### convert_type: hf -->
+<!-- ### vocab_type:  -->
+<!-- ### tags:  -->
+<!-- ### quants:  x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
+<!-- ### quants_skip:  -->
+<!-- ### skip_mmproj:  -->
+static quants of https://huggingface.co/audarai/Audar-ASR-V1-Turbo