Code Llama 34B Instruct on AMD Radeon Pro W7900

Yes — AMD Radeon Pro W7900 handles Code Llama 34B Instruct well at Q4_K_M — 24 tok/s. Solid daily-driver performance on 48 GB VRAM.

Model Size

33.7B

Device VRAM

48 GB

Bandwidth

864 GB/s

Quantization

Q4_K_M

Benchmarks

Performance by Quantization

OwnRig currently has one published compatibility entry for Code Llama 34B Instruct on AMD Radeon Pro W7900 at Q4_K_M. This is the best supported pairing we can stand behind today.

Quantization	Speed	TTFT	Fits in VRAM	Rating	Confidence
Q4_K_M	24 tok/s	370ms	✓ Yes	Good	estimated

Notes

Q4_K_M

AMD workstation card with the best ROCm support in this dataset; best AMD option for larger models. Q4_K_M fits in VRAM on this card.

About Code Llama 34B Instruct

Code Llama 34B Instruct (33.7B) is a coding, ai coding model. Meta's dedicated 34B coding model. Still competitive for code generation but being surpassed by newer models like Qwen 2.5 Coder 32B. Shorter context window (16K) is a limitation for large codebases.

View all Code Llama 34B Instruct hardware options →

About AMD Radeon Pro W7900

AMD Radeon Pro W7900 has 48 GB at 864 GB/s. Street price: $3,299.

See all models AMD Radeon Pro W7900 can run →

Estimate method: Estimated from rtx-4090 compatibility patterns plus ROCm/Vulkan adjustments. Reference hardware source: github.com (2026-03-26)

Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.