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Cactus-Compute · open-weights

mirage

mirage is an open-weights language model from Cactus-Compute, released November 5, 2026.

Check it against your own PC →

Lab
Cactus-Compute
Released
November 5, 2026
Weights
Open apache-2.0
Parameters
–
Context
–
Price / M tokens
–
Epoch ECI
not yet rated

Can you run mirage 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 mirage yet. New models are usually evaluated within days to weeks.

Links

Hugging Face: Cactus-Compute/mirage

More from Cactus-Compute

needle3

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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