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// NVIDIA Parakeet / Canary speech · Speech-to-text

canary-qwen-2.5b: VRAM & local deployment

2.56B parameters. About 2.2 GB at 4-bit and 6.1 GB at BF16.

released 2025-06-26licence: Commercial OKmemory figures are estimates

01Specs

PublisherNVIDIA · nvidia
Family / seriesNVIDIA Parakeet / Canary speech · canary-qwen
TypeSpeech-to-text (automatic-speech-recognition)
Parameters2.56B Source: counted from official safetensors weights
Released weightsBF16 · 5.1 GBdownload
LicenceCC-BY-4.0 · Commercial OKPermissive licence (Apache-2.0 / MIT / CC-BY / OpenMDW): commercial use allowed.
Released2025-06-26 (Hugging Face repo created)

02How much VRAM it needs (estimate)

Speech models are small; the weight size is close to the total memory needed.

PrecisionWeightsWeights + overheadSmallest GPUMac
BF16 / FP16 (original)5.1 GB 6.1 GB 8GB GPUMac 16GB
FP8 / INT8 / Q8_02.7 GB 3.5 GB 8GB GPUMac 16GB
4-bit (Q4_K_M / AWQ / GPTQ-Int4)1.6 GB 2.2 GB 8GB GPUMac 16GB

Bits per weight: BF16 16, FP8 8.5, 4-bit 4.85. “Fits” = total ≤ 90% of memory; Mac GPU can use ~2/3 of unified memory (≤36GB) or ~3/4 (larger). For MoE, all experts must be in memory, so size by total parameters. Method →

03How to run it

Only runtimes the publisher or the runtime’s official library names for this model.

Which inference engine to choose →

04Official repositories & quantised builds

1 official repo(s) from nvidia.

05Other NVIDIA Parakeet / Canary speech models

All 10 →
ModelParams4-bit totalReleased
parakeet-unified-en-0.6b600M0.9 GB2026-04-07
multitalker-parakeet-streaming-0.6b-v1600M0.9 GB2025-10-15
canary-1b-v2979M1.2 GB2025-08-04
parakeet-tdt-0.6b-v2600M0.9 GB2025-04-15
canary-180m-flash180M0.6 GB2025-03-11
canary-1b-flash811M1.0 GB2025-03-07
parakeet-tdt_ctc-110m110M0.6 GB2024-09-17
parakeet-tdt_ctc-0.6b-ja600M0.9 GB2024-05-13

06Sources

Data checked 2026-04-21. Parameters, context and licence are copied from the official repository; memory figures are our estimates.

Data updated: Self-host open models(UTC+8)