Qwen3 8B — Hardware Requirements & GPU Compatibility
Chat
Qwen3 8B is an 8.2-billion parameter instruction-tuned model from Alibaba Cloud's Qwen 3 series. It is a general-purpose chat model that delivers strong performance across reasoning, multilingual understanding, and coding tasks while remaining efficient enough to run on consumer GPUs with 8GB or more of VRAM. Like other Qwen 3 models, it supports hybrid thinking mode for flexible reasoning depth. The model benefits from the improved pretraining data and training methodology of the Qwen 3 generation, offering notable quality gains over Qwen 2.5 at the same parameter count. It is widely supported by inference frameworks including llama.cpp, vLLM, and Ollama. Released under the Apache 2.0 license.
8.2M downloads
985 likesSpecifications
- Publisher
- Alibaba
- Family
- Qwen
- Parameters
- 8.2B
- Architecture
- Qwen3ForCausalLM
- Context Length
- 40,960 tokens
- Vocabulary Size
- 151,936
- Release Date
- 2025-07-26
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does Qwen3 8B Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q4_K_M | 4.80 | 5.5 GB | 11.3 GB | 4.91 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_0 | 5.00 | 5.7 GB | 11.5 GB | 5.12 GB | 5-bit legacy quantization |
| Q5_K_M | 5.70 | 6.4 GB | 12.2 GB | 5.84 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 7.4 GB | 13.1 GB | 6.76 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 8.8 GB | 14.5 GB | 8.19 GB | 8-bit quantization, near-lossless |
Which GPUs Can Run Qwen3 8B?
Q4_K_M · 5.5 GBQwen3 8B (Q4_K_M) requires 5.5 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 8+ GB is recommended. Using the full 41K context window can add up to 5.7 GB, bringing total usage to 11.3 GB. 35 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti, NVIDIA GeForce RTX 3070 Ti.
Runs great
— Plenty of headroom
Which Devices Can Run Qwen3 8B?
Q4_K_M · 5.5 GB33 devices with unified memory can run Qwen3 8B, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, MacBook Air 13" M3 (8 GB).
Runs great
— Plenty of headroomDecent
— Enough memory, may be tightRelated Models
Derivatives (13)
Frequently Asked Questions
- How much VRAM does Qwen3 8B need?
Qwen3 8B requires 5.5 GB of VRAM at Q4_K_M, or 8.8 GB at Q8_0. Full 41K context adds up to 5.7 GB (11.3 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 8.2B × 4.8 bits ÷ 8 = 4.9 GB
KV Cache + Overhead ≈ 0.6 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 6.4 GB (at full 41K context)
VRAM usage by quantization
Q4_K_M5.5 GBQ4_K_M + full context11.3 GB- What's the best quantization for Qwen3 8B?
For Qwen3 8B, Q4_K_M (5.5 GB) offers the best balance of quality and VRAM usage. Q5_0 (5.7 GB) provides better quality if you have the VRAM.
VRAM requirement by quantization
Q4_K_M ★5.5 GB~89%Q5_05.7 GB~90%Q5_K_M6.4 GB~92%Q6_K7.4 GB~95%Q8_08.8 GB~99%★ Recommended — best balance of quality and VRAM usage.
- Can I run Qwen3 8B on a Mac?
Qwen3 8B requires at least 5.5 GB at Q4_K_M, 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 Qwen3 8B locally?
Yes — Qwen3 8B can run locally on consumer hardware. At Q4_K_M quantization it needs 5.5 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Qwen3 8B?
At Q4_K_M, Qwen3 8B can reach ~528 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~119 tok/s. 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 ÷ 5.5 × 0.55 = ~528 tok/s
Estimated speed at Q4_K_M (5.5 GB)
AMD Instinct MI300X~528 tok/sNVIDIA GeForce RTX 4090~119 tok/sNVIDIA H100 SXM~395 tok/sAMD Instinct MI250X~327 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Qwen3 8B?
At Q4_K_M, the download is about 4.91 GB. The full-precision Q8_0 version is 8.19 GB.