CohereCohere Transcribe Arabic 07 2026
Cohere Transcribe Arabic 07 2026 is a 2B parameter, open-source automatic speech recognition model developed by Cohere and Cohere Labs. It is optimized for transcribing Arabic and English audio, with a specific focus on Arabic dialects and Arabic-English code-switching.
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Max Output
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Parameters
2.1B
Technical Specifications
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Capabilities
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Estimated GPU requirements for Cohere Transcribe Arabic 07 2026
Estimates based on INT8 quantization at up to 32K context. A count above one assumes tensor parallelism across the cards. Actual requirements vary by framework and configuration.
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Frequently asked questions about Cohere Transcribe Arabic 07 2026
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Cohere has not published a context window for Cohere Transcribe Arabic 07 2026, so the catalog shows it as not available rather than estimating one.
Yes. Cohere Transcribe Arabic 07 2026 is an open-weight model released under the Apache 2.0 license, so the weights can be downloaded and self-hosted within that license's terms.
Cohere Transcribe Arabic 07 2026 accepts Audio and produces Text. The capabilities card on this page lists which API features each deployment honours, such as function calling and structured output, with the source each was checked against.
No published benchmark result for Cohere Transcribe Arabic 07 2026 is in the catalog yet, so the model is shown as unmeasured. It is not ranked or estimated; the router treats it as unknown for every task until a suite measures it.
Not on the managed pool today; Cohere Transcribe Arabic 07 2026 is listed for reference and comparison. Connect your own provider key or endpoint that serves it and the gateway runs it on your account, with routing decisions recorded the same way.
About 2.6 GB at INT8 for the weights and a default context, from the catalog's 2.1B parameter count; FP16 needs roughly twice that, and long contexts or many concurrent requests add KV cache on top. The GPU section on this page lists cards that hold it, and the capacity planner sizes it for your context length and traffic.
Fields collected from public registries, provider APIs and benchmark publishers, each tagged with its source.
Last updated: Nov 4, 2026
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