gemma4-turboquant-rdna4

Run Gemma-4-31B at full 256K context on a $1,400 AMD RDNA4 GPU (gfx1201): TurboQuant KV cache + HIP-graph-safe Flash-Attention for llama.cpp, fully measured on real hardware.

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Python Language

mit License

70 SrcLog Score

Cost to Build

$27.0K

Market Value

$32.4K

How is this calculated?

Growth over time

1 data points · 2026-07-26 → 2026-07-26

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What is the KaiFelixBennett/gemma4-turboquant-rdna4 GitHub project? Description: "Run Gemma-4-31B at full 256K context on a $1,400 AMD RDNA4 GPU (gfx1201): TurboQuant KV cache + HIP-graph-safe Flash-Attention for llama.cpp, fully measured on real hardware.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone gemma4-turboquant-rdna4

Clone via HTTPS

git clone https://github.com/KaiFelixBennett/gemma4-turboquant-rdna4.git

Clone via SSH

[email protected]:KaiFelixBennett/gemma4-turboquant-rdna4.git

Download ZIP

Download master.zip

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