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
23 days ago
-
Reduce MLX cache-rebase allocation and report sustained GPU streaming
Verified signatureAll 11 previously evaluated inputs retain identical token IDs and window schedules. Weights, native CPU and GPU binaries are unchanged. Complete paced CUDA/Vulkan meeting measurements retain recognition errors, original latency scores and causal alignment limitations.fddfb10 -
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 -
Publish complete experimental Audio8 Q4 model and runtimes
Verified signatureExperimental release; accuracy, memory and latency limits are documented. Release manifest SHA256: eba69a195d75757f9b14446cd7f58ff1f6e9374287c23f0a653b3909245ff4808ef2a61 -
Publish complete experimental Audio8 Q4 model and runtimes
Verified signatureExperimental release; accuracy, memory and latency limits are documented. Release manifest SHA256: 94e528576fcb5bcabbb50295a9422f59b15515930c0298f0d22d9614c20c3a3921fd722