What GPU do I need to run CohereLabs/cohere-transcribe-arabic-07-2026?
2.1B parameters, published in BF16. View on Hugging FaceGated
Set up cohere-tran…e-arabic-07-2026cohere-transcribe-arabic-07-2026 is published by CohereLabs on Hugging Face, with 54,883 downloads and 180 likes to date. It's a CohereAsrForConditionalGeneration model built for automatic-speech-recognition, published natively in BF16, and gated: you'll need to accept the model's terms on Hugging Face before downloading weights.
VRAM required & cheapest live GPU fit
Required VRAM = weight size at each precision, plus a fixed overhead for activations and allocator fragmentation. Speech models don't build the same growing KV-cache a text model does. Memory scales primarily with input audio length. Full formula and assumptions: methodology.
| Precision | Weight size | Required VRAM | Cheapest live fit | GPUs needed | Est. $/hr (full fit) |
|---|---|---|---|---|---|
| BF16 | 3.8 GB | 4.6 GB | RTX 3060 | 1 | $0.110/hr |
| FP8 (quantized) | 1.9 GB | 2.3 GB | RTX 4070 Super | 1 | $0.121/hr |
| INT4 (quantized) | 1.0 GB | 1.2 GB | RTX 3060 | 1 | $0.110/hr |
A GPU is only matched to a row if its hardware supports that precision, and the primary recommendation is always a single-GPU fit when one exists.
INT4 requires a quantized checkpoint actually published for this model, check its Hugging Face page before relying on this row.
Cheapest way to run cohere-transcribe-arabic-07-2026 at its published (BF16) precision: 1× RTX 3060, at $0.110/hr per GPU ($0.110/hr total). Quantizing to FP8 or INT4 (rows above) can cost less, but requires a compatible quantized checkpoint to exist for this model.
cohere-transcribe-arabic-07-2026: common questions
How much VRAM does cohere-transcribe-arabic-07-2026 need?
4.6 GB at BF16, 2.3 GB at FP8 (quantized), 1.2 GB at INT4 (quantized). All of those sit under 6 GB, the smallest capacity this page reasons about, so VRAM is not what limits where this model runs. The 3.8 GB of weights plus inference overhead is the whole requirement.
Do I need approval to download cohere-transcribe-arabic-07-2026?
Yes. CohereLabs gates this repository on Hugging Face, so you have to accept its terms with a signed-in account before the weights will download. It does not change the 4.6 GB the model needs once you have them.
How many copies of cohere-transcribe-arabic-07-2026 fit on one RTX 3060?
2, by VRAM alone. That card carries 12.0 GB and one copy needs 4.6 GB at BF16, on a live rate of $0.110/hr for the whole card. Throughput is not modelled here, so 2 copies is not 2 times the requests served.
Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.
More CohereLabs models
- cohere-transcribe-03-2026 (2.1B, BF16)
- North-Mini-Code-1.0 (30.5B, BF16)
Related reading: H100 pricing and specs, The best GPUs for AI, ranked, and Best GPU for LLM inference.
