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145
Tokens / Sec
6.2 GB
VRAM Required
24 GB
Available
25% used
VRAM
24 GB
warning Hardware Bottleneck Detected
This model requires more VRAM than your GPU has available.
info How we calculate this
VRAM: Parameter count × quantization bytes + KV cache (from context size) + ~0.6 GB overhead.
Speed: (Memory bandwidth × ~70% efficiency) ÷ active model weight size. Varies by engine (Ollama, llama.cpp, vLLM).