MetaCode Llama 34B Instruct on AMD Radeon RX 9070
AMD Radeon RX 9070 runs Code Llama 34B Instruct at Q2_K. Usable on 16 GB VRAM — see full quantization options below.
Model Size
33.7B
Device VRAM
16 GB
Bandwidth
640 GB/s
Quantization
Q2_K
Performance by Quantization
OwnRig currently has one published compatibility entry for Code Llama 34B Instruct on AMD Radeon RX 9070 at Q2_K. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q2_K | – | – | ✓ Yes | Acceptable | estimated |
Notes
Q2_K
RDNA 4 card with improving ROCm support; Vulkan remains the safer default in llama.cpp. Q2_K 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 RX 9070
AMD Radeon RX 9070 has 16 GB at 640 GB/s. Street price: $549.
See all models AMD Radeon RX 9070 can run →Estimate method: Estimated from model VRAM requirements and AMD runtime maturity. Reference hardware source: github.com (2026-04-18)
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.