Llama 3.1 70B Instruct — Hardware Requirements & GPU Compatibility
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Meta Llama 3.1 70B Instruct is a 70.6-billion parameter instruction-tuned model from Meta's Llama 3.1 family. It features a 128K token context window and is optimized for chat, tool use, and complex reasoning tasks. The 70B size offers a strong balance between capability and hardware requirements, running well on multi-GPU setups or high-VRAM workstation cards. This model was trained on over 15 trillion tokens and fine-tuned with reinforcement learning from human feedback (RLHF). It excels at coding assistance, mathematical reasoning, and multilingual dialogue. Released under the Llama 3.1 Community License.
840.4K downloads
896 likesSpecifications
- Publisher
- Meta
- Family
- Llama 3
- Parameters
- 70.6B
- Context Length
- 131,072 tokens
- Release Date
- 2024-12-15
- License
- Llama 3.1 Community
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HuggingFace
How Much VRAM Does Llama 3.1 70B Instruct Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_K | 3.40 | 33.0 GB | — | 29.99 GB | 2-bit quantization with K-quant improvements |
| Q3_K_M | 3.90 | 37.8 GB | — | 34.39 GB | 3-bit medium quantization |
| Q4_K_M | 4.80 | 46.6 GB | — | 42.33 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 55.3 GB | — | 50.27 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 64.0 GB | — | 58.21 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 77.6 GB | — | 70.55 GB | 8-bit quantization, near-lossless |
Which GPUs Can Run Llama 3.1 70B Instruct?
Q4_K_M · 46.6 GBLlama 3.1 70B Instruct (Q4_K_M) requires 46.6 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 61+ GB is recommended. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Llama 3.1 70B Instruct?
Q4_K_M · 46.6 GB11 devices with unified memory can run Llama 3.1 70B Instruct, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Studio M4 Max (64 GB).
Runs great
— Plenty of headroom
Related Models
Frequently Asked Questions
- How much VRAM does Llama 3.1 70B Instruct need?
Llama 3.1 70B Instruct requires 46.6 GB of VRAM at Q4_K_M, or 77.6 GB at Q8_0.
VRAM = Weights + KV Cache + Overhead
Weights = 70.6B × 4.8 bits ÷ 8 = 42.3 GB
KV Cache + Overhead ≈ 4.3 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
Q4_K_M46.6 GB- Can NVIDIA GeForce RTX 5090 run Llama 3.1 70B Instruct?
No — Llama 3.1 70B Instruct requires at least 33.0 GB at Q2_K, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- What's the best quantization for Llama 3.1 70B Instruct?
For Llama 3.1 70B Instruct, Q4_K_M (46.6 GB) offers the best balance of quality and VRAM usage. Q5_K_M (55.3 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 33.0 GB.
VRAM requirement by quantization
Q2_K33.0 GB~75%Q3_K_M37.8 GB~83%Q4_K_M ★46.6 GB~89%Q5_K_M55.3 GB~92%Q6_K64.0 GB~95%Q8_077.6 GB~99%★ Recommended — best balance of quality and VRAM usage.
- Can I run Llama 3.1 70B Instruct on a Mac?
Llama 3.1 70B Instruct requires at least 33.0 GB at Q2_K, which exceeds the unified memory of most consumer Macs. You would need a Mac Studio or Mac Pro with a high-memory configuration.
- Can I run Llama 3.1 70B Instruct locally?
Yes — Llama 3.1 70B Instruct can run locally on consumer hardware. At Q4_K_M quantization it needs 46.6 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Llama 3.1 70B Instruct?
At Q4_K_M, Llama 3.1 70B Instruct can reach ~63 tok/s on AMD Instinct MI300X. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: AMD Instinct MI300X → 5300 ÷ 46.6 × 0.55 = ~63 tok/s
Estimated speed at Q4_K_M (46.6 GB)
AMD Instinct MI300X~63 tok/sNVIDIA H100 SXM~47 tok/sAMD Instinct MI250X~39 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Llama 3.1 70B Instruct?
At Q4_K_M, the download is about 42.33 GB. The full-precision Q8_0 version is 70.55 GB. The smallest option (Q2_K) is 29.99 GB.