Qwen2.5-VL 3B Instruct on AMD Radeon RX 9070 XT
Can the AMD Radeon RX 9070 XT run Qwen2.5-VL 3B Instruct?
Yes, it runs well
Runs well. At F16 it needs about 9.2 GB of 16.0 GB usable, with an estimated speed of 42.3 tok/s.
- Best quant
F16- Generation speed
- 42.3 tok/s
- Prompt processing
- 16,087 tok/s
- First token (1K prompt)
- 0.3 s
- Largest safe context
- 125K
Download Qwen2.5-VL 3B Instruct
Recommended for the AMD Radeon RX 9070 XT: F16. Every other quantization has its own download link in the table below.
Quickest · Ollama
One command downloads a ready-to-run version and starts a chat.
ollama run qwen2.5vl:3b-fp16Quantized files · GGUF
Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.
Download the F16 file (opens in a new tab)
huggingface.co/unsloth/Qwen2.5-VL-3B-Instruct-GGUF (opens in a new tab)
ollama run hf.co/unsloth/Qwen2.5-VL-3B-Instruct-GGUF:BF16Original weights · Hugging Face
Full-precision files from Alibaba, for fine-tuning, vLLM, Transformers.
huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct (opens in a new tab)
How the B grade is scored
Every result gets up to 100 points from four parts. The points decide the letter grade.
| Model quality | 15.3 / 45 | |
|---|---|---|
| Memory fit | 25.0 / 25 | |
| Speed | 15.0 / 15 | |
| Memory use | 13.3 / 15 | |
| Total | 68.6 / 100 | 68 ptsGood (B) · 68 of 100 points: Model quality 15.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 13.3/15 |
Every quantization on the AMD Radeon RX 9070 XT
| Quant | Memory needed | Available | Speed | Fit | Grade · points | Download |
|---|---|---|---|---|---|---|
Q2_K | 3.2 GB | 16.0 GB | 296 tok/s | Runs well | 55 ptsUsable (C) · 55 of 100 points: Model quality 10.7/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 4.6/15 | GGUF (opens in a new tab) |
Q3_K_M | 3.5 GB | 16.0 GB | 233 tok/s | Runs well | 57 ptsUsable (C) · 57 of 100 points: Model quality 12.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 5.1/15 | GGUF (opens in a new tab) |
Q4_K_M | 4.0 GB | 16.0 GB | 180 tok/s | Runs well | 60 ptsGood (B) · 60 of 100 points: Model quality 14.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 5.8/15 | GGUF (opens in a new tab) |
Q5_K_M | 4.4 GB | 16.0 GB | 149 tok/s | Runs well | 61 ptsGood (B) · 61 of 100 points: Model quality 14.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 6.3/15 | GGUF (opens in a new tab) |
Q6_K | 4.8 GB | 16.0 GB | 125 tok/s | Runs well | 62 ptsGood (B) · 62 of 100 points: Model quality 15.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 6.9/15 | GGUF (opens in a new tab) |
Q8_0 | 5.7 GB | 16.0 GB | 91.8 tok/s | Runs well | 63 ptsGood (B) · 63 of 100 points: Model quality 15.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 8.2/15 | GGUF (opens in a new tab) |
F16 | 9.2 GB | 16.0 GB | 42.3 tok/s | Runs well | 68 ptsGood (B) · 68 of 100 points: Model quality 15.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 13.3/15 | GGUF (opens in a new tab) Original weights (opens in a new tab) |
Memory figures assume 8K of context. Longer conversations or documents grow the KV cache.
Other hardware that runs it
- 70 ptsGood (B) · 70 of 100 points: Model quality 15.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 4060
- 68 ptsGood (B) · 68 of 100 points: Model quality 15.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 13.3/15 NVIDIA GeForce RTX 4070 Ti SUPER
- 68 ptsGood (B) · 68 of 100 points: Model quality 15.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 13.3/15 NVIDIA GeForce RTX 4080 SUPER
- 68 ptsGood (B) · 68 of 100 points: Model quality 15.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 13.3/15 NVIDIA GeForce RTX 5070 Ti
- 68 ptsGood (B) · 68 of 100 points: Model quality 15.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 13.3/15 NVIDIA GeForce RTX 5080
Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.