What Models?

Pick the right model for your GPU — in seconds.

What GPU do you need to run K2-Horizon 7B?

9B params 512K max context Tool useReasoning

The smallest GPU memory that runs K2-Horizon 7B well is 8 GB (Q4_K_M, e.g. GeForce RTX 5060 Ti). 120 of 132 GPUs run it well and 8 more are a tight fit.

SWE-bench Verified 70.6

VRAM needed per quantization

QuantizationWeights16K context32K contextFull 512K
Q4_K_M5.2 GB7.4 GB9.6 GB75.4 GB
Q8_08.9 GB11.1 GB13.3 GB79.1 GB

Weights plus fp16 KV cache. Leave ~1 GB headroom for the inference engine.

Cheapest GPUs that can run K2-Horizon 7B

Lowest launch MSRP among GPUs that run its smallest quantization (Q4_K_M) well, with at least 16K context.

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GPUs that can run K2-Horizon 7B

Best quantization that fits on each GPU, with the context and speed it gets. For chips with several memory sizes, the smallest that works is shown.

NVIDIA

AMD

Intel

Apple

  • M1 8 GB Q4_K_M 20K context · ~11 tok/s
  • M2 8 GB Q4_K_M 20K context · ~16 tok/s
  • M3 8 GB Q4_K_M 20K context · ~16 tok/s
  • M1 Pro 16 GB Q8_0 51K context · ~20 tok/s
  • M2 Pro 16 GB Q8_0 51K context · ~20 tok/s
  • M4 16 GB Q8_0 51K context · ~12 tok/s
  • M5 16 GB Q8_0 51K context · ~15 tok/s
  • M6 16 GB Q8_0 51K context · ~15 tok/s
  • M3 Pro 18 GB Q8_0 66K context · ~15 tok/s
  • M4 Pro 24 GB Q8_0 110K context · ~28 tok/s
  • M5 Pro 24 GB Q8_0 110K context · ~31 tok/s
  • M1 Max 32 GB Q8_0 168K context · ~40 tok/s
  • M2 Max 32 GB Q8_0 168K context · ~40 tok/s
  • M3 Max 36 GB Q8_0 197K context · ~30 tok/s
  • M4 Max 36 GB Q8_0 197K context · ~41 tok/s
  • M5 Max 36 GB Q8_0 197K context · ~46 tok/s
  • M1 Ultra 64 GB Q8_0 402K context · ~81 tok/s
  • M2 Ultra 64 GB Q8_0 402K context · ~81 tok/s
  • M3 Ultra 96 GB Q8_0 512K context · ~83 tok/s
  • M5 Ultra 96 GB Q8_0 512K context · ~121 tok/s
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