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Cohere · open-weights

Tiny Aya Fire

Tiny Aya Fire is an open-weights language model from Cohere, released February 17, 2026. The context window is 8K tokens.

Check it against your own PC →

Lab
Cohere
Released
February 17, 2026
Weights
Open
Parameters
–
Context
8K
Price / M tokens
–
Epoch ECI
not yet rated

Can you run Tiny Aya Fire locally?

Even with 32 GB of VRAM and 32 GB of RAM it is too large to run at a usable speed on a single consumer GPU. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.

GPU memoryVerdictBest quantVRAMRAMtok/s
6 GB VRAMSize unknown––––
8 GB VRAMSize unknown––––
12 GB VRAMSize unknown––––
16 GB VRAMSize unknown––––
24 GB VRAMSize unknown––––
32 GB VRAMSize unknown––––

Parameter count unknown. The weights may not be on Hugging Face yet.

Benchmark results

Epoch AI has not published results for Tiny Aya Fire yet. New models are usually evaluated within days to weeks.

More from Cohere

tiny aya en thinker · tiny aya l2 thinker · North Micro Vision Instruct · North Mini Code · Command A Plus · Tiny Aya Global · Tiny Aya Water · Tiny Aya Earth

Data updated Thu, 12 Nov 2026 09:42 UTC. Benchmarks, Capabilities Index and model announcements: Epoch AI, “Capabilities & benchmarking” and “Data on AI models” (CC BY 4.0); category scores are ModelTape's own fit on Epoch's results. Releases and prices: models.dev (MIT). Sizes and quantizations: Hugging Face. “Runs on” figures are estimates from model size, quantization and memory bandwidth (±30–50%).
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