Downloads · 30 days
0
stt-whisper-tiny.en-GGML
cytognosis/stt-whisper-tiny.en-GGML
stt-whisper-tiny.en-GGML is a machine learning model from cytognosis. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Curated Yar deployment artifacts for whisper-tiny.en (English). Part of the Cytognosis model zoo: every artifact carries exact parameter counts, per-quant resource estimates (replaced by measured values at zoo gates),…
Access
Public
Updated Jul 25, 2026
Repo size
75.7 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin75.7 MB · 100%
At a glance
- License
- mit
- Access
- Public
- Created
- Jul 25, 2026
- Updated
- Jul 25, 2026
- SHA
- f5e9202f
Model card
From the Hugging Face model README
stt-whisper-tiny.en-GGML
Curated Yar deployment artifacts for whisper-tiny.en (English). Part of the Cytognosis model zoo: every artifact carries exact parameter counts, per-quant resource estimates (replaced by measured values at zoo gates), and full provenance.
Requirements manifest (per artifact)
- artifact: ggml-tiny.en-q5_1.bin
capability: stt
format: ggml
quant: q5_1
disk_bytes: 32166155
ram_required_mb:
load: 62
runtime_peak_est: 90
exact_params: 37760256
cpu_floor: arm64-neon | x86-64-avx2
npu: optional
license_class: open
placement_allowed: [device, local_network, own_server]
latency_class: batch_polish # live partials come from the streaming engine
values: estimated # zoo measurement gate replaces these
- artifact: ggml-tiny.en-q8_0.bin
capability: stt
format: ggml
quant: q8_0
disk_bytes: 43550795
ram_required_mb:
load: 73
runtime_peak_est: 104
exact_params: 37760256
cpu_floor: arm64-neon | x86-64-avx2
npu: optional
license_class: open
placement_allowed: [device, local_network, own_server]
latency_class: batch_polish # live partials come from the streaming engine
values: estimated # zoo measurement gate replaces these
Provenance
Source weights: openai/whisper-tiny.en (MIT). GGML conversions mirrored from ggerganov/whisper.cpp (MIT). Quantization: upstream whisper.cpp quantize tool. License class: open. Imported by zoo-pipeline/org_setup.py, 2026-07-25. Runtime: whisper.cpp / sherpa-onnx compatible.
- License
- mit
- Languages
- en
- Created
- Jul 25, 2026
- Updated
- Jul 25, 2026