Meta
Llama 3.1 70B Instruct
Meta's flagship 70B parameter model. Excellent performance rivaling GPT-4 on many benchmarks.
70B parametersllamallama3.1128K context40.1GB - 142GB VRAM
Check Your Hardware
See which quantizations of Llama 3.1 70B Instruct your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| Q4_K_M | 4.5 | 39.6 GB | 40.1 GB | 40.6 GB | 85% |
| Q5_K_M | 5.5 | 48 GB | 50 GB | 56 GB | 90% |
| Q8_0 | 8 | 74 GB | 76 GB | 80 GB | 98% |
| FP16 | 16 | 140 GB | 142 GB | 148 GB | 100% |
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 Llama 3.1 70B Instruct?
Llama 3.1 70B Instruct requires 40.1GB VRAM minimum with Q4_K_M quantization. For full precision, you need 142GB VRAM.
What is the best quantization for Llama 3.1 70B Instruct?
Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.