Qwen-7B
Qwen-7B is an open-weights language model from Qwen, released September 28, 2023. It has 7B parameters (dense). On the Epoch Capabilities Index it scores 89.2, rank 231 of 256 rated models.
Check it against your own PC →
Lab
Qwen
Released
September 28, 2023
Weights
Open restricted use
Parameters
7B dense
Context
–
Price / M tokens
–
Epoch ECI
89.2 #231
Can you run Qwen-7B locally?
The smallest common GPU it runs on is 6 GB of VRAM (with 32 GB of RAM): Q6_K, split GPU / CPU, roughly 8 tokens per second. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.
| GPU memory | Verdict | Best quant | VRAM | RAM | tok/s |
|---|---|---|---|---|---|
| 6 GB VRAM | Runs, slowly | Q6_K (≈ lossless) | 5.2 GB | 3.3 GB | ~8 |
| 8 GB VRAM | Runs on GPU | Q4_K_M (very good) | 7.0 GB | – | ~37 |
| 12 GB VRAM | Runs on GPU | Q6_K (≈ lossless) | 8.5 GB | – | ~36 |
| 16 GB VRAM | Runs on GPU | Q6_K (≈ lossless) | 8.5 GB | – | ~50 |
| 24 GB VRAM | Runs on GPU | Q6_K (≈ lossless) | 8.5 GB | – | ~89 |
| 32 GB VRAM | Runs on GPU | Q6_K (≈ lossless) | 8.5 GB | – | ~160 |
Benchmark results
| Benchmark (Epoch AI) | Score |
|---|---|
| MMLU | 26.7% |
Links
Models with a similar score
Baichuan2-13B · Falcon-40B · Qwen2.5-Coder (1.5B) · MPT-30B · LLaMA-13B
More from Qwen
Qwen3.8 Omni Flash · Qwen3.8 Max (0902) · Qwen3.8 Flash · Qwen3.8 Flash Next · Qwen 3.8 27B · Qwen3.8-2.4T-A95B · Qwen 3.8 Max · Qwen3.7 Flash