Reka AItransformer

Reka Edge

7B parameters • 4.3GB VRAM (Q4 estimate) • 128,000 context

Estimate · Q4_K_M · 4k context · batch 1. For dense 7B–70B this sits ~5–8% above the Q4_K_M GGUF file. Not peak runtime VRAM and not a measured bench.

Specifications

Parameters

VRAM (Q4 est.)

4.3 GB

VRAM (FP16)

14 GB

Context Window

128,000

Architecture

transformer

License

Reka TOS

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Run Reka Edge on Tesla K20c

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GB200 NVL72✅ Fits Lambda Labs 1-Click Cluster (8x H100)✅ Fits Google Cloud A3 (8x H100)✅ Fits Azure ND H100 v5 (8x H100)✅ Fits AWS EC2 P5 Instance (8x H100)✅ Fits NVIDIA DGX H100✅ Fits

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Reka AItransformer

Reka Edge

7B parameters • 4.3GB VRAM (Q4 estimate) • 128,000 context

Estimate · Q4_K_M · 4k context · batch 1. For dense 7B–70B this sits ~5–8% above the Q4_K_M GGUF file. Not peak runtime VRAM and not a measured bench.