Automatic Speech Recognition
MLX
ONNX
GGUF
Rust
English
Chinese
audio8
streaming-asr
quantized
experimental
Instructions to use Reza2kn/Audio8-ASR-Infinite-Compressed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Reza2kn/Audio8-ASR-Infinite-Compressed with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download Reza2kn/Audio8-ASR-Infinite-Compressed --local-dir Audio8-ASR-Infinite-Compressed
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Commit History
22 days ago
-
Release complete mixed Q3/Q4 Audio8 with portable CPU, MLX and exact GGUF GPU consumers
Verified signature1.882 GB shared CPU/MLX model; 304 MB smaller payload. Complete prospectively frozen 11-case original/CPU/MLX evaluation, portable Linux prefix parity, and actual CUDA/NVIDIA Vulkan/AMD Vulkan streamed smoke. Exact GGUF weights remain Q4_0 storage. Accuracy, memory, hard latency and AMD speed limitations remain explicit; experimental, not production ready.c49eca9