Meta
Code Llama 7B
Meta's code-specialized Llama model. Good at code completion.
7B parametersllamallama216K context4.7GB - 7.8GB VRAM
Check Your Hardware
See which quantizations of Code Llama 7B your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| Q4_K_M | 4.5 | 4.1 GB | 4.7 GB | 6.5 GB | 85% |
| Q8_0 | 8 | 7.2 GB | 7.8 GB | 10 GB | 98% |
See It In Action
Real model outputs generated via RunThisModel.com — watch responses stream in real time.
Llama 3.3 70B responding...
Outputs generated by real AI models via RunThisModel.com. Generation speed shown is from cloud inference. Local speeds vary by hardware — check your device.
Frequently Asked Questions
How much VRAM do I need to run Code Llama 7B?
Code Llama 7B requires 4.7GB VRAM minimum with Q4_K_M quantization. For full precision, you need 7.8GB VRAM.
What is the best quantization for Code Llama 7B?
Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.