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
File size: 2,631 Bytes
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"status": "verified_exposed_diagnostic",
"production_ready": false,
"model_changed": true,
"counts": {
"hits": 302,
"substitutions": 39,
"deletions": 137,
"insertions": 4,
"reference_units": 478,
"hypothesis_units": 345,
"errors": 180,
"error_rate": 0.37656903765690375
},
"prior_q4_counts": {
"hits": 298,
"substitutions": 46,
"deletions": 134,
"insertions": 5,
"reference_units": 478,
"hypothesis_units": 349,
"errors": 185,
"error_rate": 0.38702928870292885
},
"word_timing": {
"measured": true,
"actual_arrival_paced": true,
"timing_basis": "Independent host receipt of flushed JSONL since paced20ms producer start; all source words retained",
"correctly_matched_units": 302,
"ambiguous_matched_units": 9,
"ambiguity_method": "all minimum unit-cost Levenshtein paths, without timing-based selection",
"unambiguous_matched_units": 293,
"unambiguous_maximum_seconds": 5.347705096863194,
"unmatched_reference_units": 176,
"matched_reference_fraction": 0.6317991631799164,
"min_seconds": -2.329683994008221,
"p50_seconds": 0.4744840469956415,
"p95_seconds": 0.613818718912114,
"maximum_seconds": 5.347705096863194,
"matched_units_above_one_second": 1,
"all_matched_units_within_one_second": null,
"whole_release_pass": false,
"limitation": "Lag summaries use one deterministic text alignment and are descriptive when alternative optimal alignments exist. Only unambiguous matches can support per-word timing claims. Omissions/substitutions remain errors, never zero-latency successes. Published reference timing uncertainty and overlapping-speaker word order are not independently corrected."
},
"independent_delta_token_clock_oracle": true,
"all_ids_logits_clocks_exact_q3_v1": true,
"memory": {
"os_peak_process_rss_bytes": 2126622720,
"os_peak_memory_footprint_bytes": null,
"footprint_available": false,
"rss_source_unit": "KiB (1024 bytes)",
"elapsed_seconds": 324.52,
"user_seconds": 887.31,
"system_seconds": 73.95,
"scope": "Fresh native child process including loading and inference; excludes Python harness. RSS and footprint are separate measurements and must not be summed."
},
"mature_work_rtf_including_trims": 0.9405229254891304,
"peak_non_eof_receipt_backlog_seconds": 0.3471983608733922,
"raw_sha256": "cc977ded1479cbccd64494a800a5ed43570cba91d71bce851da4919dcf7ed0bf",
"scope": "Previously exposed full meeting; memory, sustained CPU work and caption-after-word clocks. No protected evaluation acceptance."
}
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