DeepSeek R1 (671B) on AMD Radeon RX 7900 XT
Can the AMD Radeon RX 7900 XT run DeepSeek R1 (671B)?
No, it doesn’t fit
No. DeepSeek R1 (671B) needs about 271 GB even at Q2_K; the AMD Radeon RX 7900 XT has 20.0 GB usable.
Download DeepSeek R1 (671B)
Recommended: Q2_K. 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 deepseek-r1:671bQuantized files · GGUF
Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.
Download the Q2_K files (opens in a new tab)
huggingface.co/unsloth/DeepSeek-R1-GGUF (opens in a new tab)
ollama run hf.co/unsloth/DeepSeek-R1-GGUFOriginal weights · Hugging Face
Full-precision files from DeepSeek, for fine-tuning, vLLM, Transformers.
Official repo · GitHub
Reference code, inference scripts and docs from DeepSeek. The weights themselves download from Hugging Face.
github.com/deepseek-ai/DeepSeek-R1 (opens in a new tab)
git clone https://github.com/deepseek-ai/DeepSeek-R1How it’s rated
Match score
To order lists, each result also gets a match score out of 100 from four parts. It favors the most capable model that still runs well.
| Model quality | 8.7 / 45 | |
|---|---|---|
| Memory fit | 0.0 / 25 | |
| Speed | 0.0 / 15 | |
| Memory use | 0.0 / 15 | |
| Match score | 8.7 / 100 |
Every quantization on the AMD Radeon RX 7900 XT
| Quant | Memory needed | Available | Speed | Runs | Quality | Download |
|---|---|---|---|---|---|---|
Q2_K | 271 GB | 20.0 GB | — | Won't run | 64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. | GGUF · folder (opens in a new tab) |
Q3_K_M | 331 GB | 20.0 GB | — | Won't run | 77Great quality (A) · 77 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 10/100 (quality, fit, speed and memory use) sets the ranking. | GGUF · folder (opens in a new tab) |
Q4_K_M | 411 GB | 20.0 GB | — | Won't run | 87Excellent quality (A+) · 87 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking. | GGUF · folder (opens in a new tab) |
Q5_K_M | 479 GB | 20.0 GB | — | Won't run | 89Excellent quality (A+) · 89 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 12/100 (quality, fit, speed and memory use) sets the ranking. | GGUF · folder (opens in a new tab) |
Q6_K | 552 GB | 20.0 GB | — | Won't run | 91Excellent quality (A+) · 91 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 12/100 (quality, fit, speed and memory use) sets the ranking. | GGUF · folder (opens in a new tab) |
Q8_0 | 713 GB | 20.0 GB | — | Won't run | 92Excellent quality (A+) · 92 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 12/100 (quality, fit, speed and memory use) sets the ranking. | GGUF · folder (opens in a new tab) |
F16 | 1,344 GB | 20.0 GB | — | Won't run | 92Excellent quality (A+) · 92 of 100: how capable the model is at F16, whatever it runs on. Match score 12/100 (quality, fit, speed and memory use) sets the ranking. | GGUF · folder (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.
Hardware that can run it
-
77Great quality (A) · 77 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.
Apple M3 Ultra (512 GB)
-
77Great quality (A) · 77 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.
Apple M5 Ultra (512 GB)
-
64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.
AMD Instinct MI350X
-
87Excellent quality (A+) · 87 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.
AMD EPYC 7002 / 7003 series NAS (512 GB)
-
64Good quality (B) · 64 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.
Intel Xeon Silver (4100 to 4300 series) NAS (512 GB)
-
87Excellent quality (A+) · 87 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.
Intel Xeon W-2100 series NAS (512 GB)
Models that do run on the AMD Radeon RX 7900 XT
- 87Excellent quality (A+) · 87 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking. Gemma 4 26B-A4B
- 90Excellent quality (A+) · 90 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.8 27B
- 89Excellent quality (A+) · 89 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.6 27B
- 88Excellent quality (A+) · 88 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.5 27B
- 83Great quality (A) · 83 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. Raon-1 mini Preview (30B-A4B)
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.