MetaCode Llama 34B Instruct on Apple M3 Pro (18GB Unified)
M3 Pro (18GB Unified) cannot run Code Llama 34B Instruct. 18 GB VRAM is insufficient at any quantization level.
Model Size
33.7B
Device VRAM
18 GB
Bandwidth
150 GB/s
Quantization
Q3_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Code Llama 34B Instruct on Apple M3 Pro (18GB Unified) at Q3_K_M. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q3_K_M | – | – | ✗ Offload | Not viable | estimated |
Notes
Q3_K_M
34B exceeds 14GB effective. Doesn't fit.
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 Apple M3 Pro (18GB Unified)
Apple M3 Pro (18GB Unified) has 18 GB at 150 GB/s. Available in MacBook Pro 14", MacBook Pro 16".
See all models Apple M3 Pro (18GB Unified) can run →Estimate method: MLX performance estimates. Reference hardware source: github.com (2026-03-15)
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.