AMD Radeon RX 7900 XT
The AMD Radeon RX 7900 XT has 20 GB VRAM and 800 GB/s memory bandwidth. It can run 51 of our 97 tracked models natively in VRAM at 8k context.
With 20 GB GDDR6, the AMD Radeon RX 7900 XT is a consumer-tier GPU that can run 51 models natively. 7B-14B at Q4 native. 27B tight at Q4. ~7-12 t/s for 7B.
The AMD Radeon RX 7900 XT features 20GB GDDR6 at 800 GB/s on the RDNA 3 architecture. The unique 20GB capacity puts it between 16GB and 24GB tiers, comfortably holding 14B models at Q5 and some 27B models at aggressive Q3–Q4 quantization. A compelling mid-range option for AMD users on Linux with ROCm support.
AMD Radeon RX 7900 XT: 20GB GDDR6 at 800 GB/s, RDNA 3 mid-range.
7B-14B at Q4 native. 27B tight at Q4. ~7-12 t/s for 7B.
ROCm Linux support. Vulkan on Windows. 20GB is awkward capacity.
| Vendor | AMD |
| Architecture | RDNA 3 |
| VRAM | 20 GB |
| Memory type | GDDR6 |
| Memory bandwidth | 800 GB/s |
| Compute backend | ROCM |
| Tier | Consumer |
| Released | 2022 |
| Models (native) | 51 / 97 |
| Models (offload) | 6 / 97 |
Popular models for this GPU
Models this GPU runs natively in VRAM (51)
- Qwen 3.5 35B-A3B (MoE)35B · MMLU-Pro 85.3Q2_K · ~130.7 t/s
- Qwen 3.6 35B35B · MMLU-Pro 85.2Q2_K · ~33.6 t/s
- Ornith 1.5 35B-A3B (MoE)35B · MMLU-Pro N/AQ2_K · ~130.7 t/s
- Yi 1.5 34B Chat34.4B · MMLU-Pro 37.0Q2_K · ~34.4 t/s
- Qwen3 32B32.8B · MMLU-Pro 65.5Q2_K · ~37.6 t/s
Show 46 more
- Qwen 2.5 32B Instruct32.5B · MMLU-Pro 69.0Q2_K · ~35.8 t/s
- Qwen 2.5 Coder 32B Instruct32.5B · MMLU-Pro 62.3Q2_K · ~35.8 t/s
- DeepSeek R1 Distill Qwen 32B32.5B · MMLU-Pro 65.0Q2_K · ~35.8 t/s
- Nemotron 3 Nano 30B32B · MMLU-Pro 78.3Q3_K_M · ~99.1 t/s
- Gemma 4 31B30.7B · MMLU-Pro 85.2Q3_K_M · ~31.9 t/s
- Qwen3 30B-A3B (MoE)30B · MMLU-Pro 61.5Q3_K_M · ~92.6 t/s
- Nemotron 3.5 Lightning 30B-A3B30B · MMLU-Pro 81.6Q3_K_M · ~107 t/s
- Muse Glimmer 30B27.8B · MMLU-Pro N/AQ3_K_M · ~38.3 t/s
- Gemma 2 27B Instruct27.2B · MMLU-Pro 38.0Q3_K_M · ~32.2 t/s
- Gemma 3 27B Instruct27B · MMLU-Pro 67.5Q3_K_M · ~35.8 t/s
- Qwen 3.6 27B27B · MMLU-Pro 86.2Q3_K_M · ~38.5 t/s
- UI-Mate 27B27B · MMLU-Pro ~86.2Q3_K_M · ~38.5 t/s
- Bonsai 27B27B · MMLU-Pro 81.5Ternary (Q2_0) · ~59 t/s
- Qwen 3.8 27B27B · MMLU-Pro N/AQ3_K_M · ~38.5 t/s
- Gemma 4 26B (MoE)25.2B · MMLU-Pro 82.6Q4_K_M · ~64.3 t/s
- Mistral Small 3.1 24B Instruct24B · MMLU-Pro 66.8Q4_K_M · ~32.6 t/s
- Mistral Small 22B22.2B · MMLU-Pro 49.2Q4_K_M · ~33.8 t/s
- GPT-OSS 20B21B · MMLU-Pro 67.9Q5_K_M · ~59.4 t/s
- Qwen3 14B14.8B · MMLU-Pro 61.0Q6_K · ~38.5 t/s
- Qwen 2.5 14B Instruct14.7B · MMLU-Pro 63.7Q6_K · ~38 t/s
- Phi-4 14B Instruct14B · MMLU-Pro 70.4Q8_0 · ~32.1 t/s
- Mistral Nemo 12B Instruct12.2B · MMLU-Pro 35.6Q8_0 · ~36.3 t/s
- Gemma 3 12B Instruct12.2B · MMLU-Pro 60.6Q8_0 · ~37.1 t/s
- Gemma 4 12B (Unified)12B · MMLU-Pro 77.2Q8_0 · ~32.5 t/s
- Gemma 2 9B Instruct9.2B · MMLU-Pro 32.0Q8_0 · ~41.3 t/s
- Qwen 3.5 9B9B · MMLU-Pro 82.5Q8_0 · ~52.9 t/s
- Ornith 1.5 9B9B · MMLU-Pro N/AQ8_0 · ~52.9 t/s
- Llama 3.1 8B Instruct8B · MMLU-Pro 48.3Q8_0 · ~54.3 t/s
- DeepSeek R1 Distill Llama 8B8B · MMLU-Pro 41.0Q8_0 · ~54.3 t/s
- Qwen3 8B8B · MMLU-Pro 56.7Q8_0 · ~53.5 t/s
- Qwen 2.5 7B Instruct7.6B · MMLU-Pro 56.3BF16 · ~33.2 t/s
- Mistral 7B Instruct v0.37.25B · MMLU-Pro 30.0BF16 · ~33.4 t/s
- Gemma 3 4B Instruct4B · MMLU-Pro 43.6BF16 · ~61.2 t/s
- Gemma 4 E4B4B · MMLU-Pro 69.4BF16 · ~57.7 t/s
- Phi-3.5 Mini Instruct3.8B · MMLU-Pro 47.4BF16 · ~48.1 t/s
- Phi-4-mini Instruct3.8B · MMLU-Pro 67.3BF16 · ~60 t/s
- Llama 3.2 3B Instruct3.2B · MMLU-Pro 24.0BF16 · ~70.8 t/s
- Qwen 2.5 3B Instruct3.1B · MMLU-Pro 32.4BF16 · ~80 t/s
- Gemma 2 2B Instruct2.6B · MMLU-Pro 17.8BF16 · ~85.6 t/s
- Gemma 4 E2B2B · MMLU-Pro 60.0BF16 · ~118.1 t/s
- SmolLM2 1.7B Instruct1.7B · MMLU-Pro 19.0BF16 · ~103.8 t/s
- Qwen 2.5 1.5B Instruct1.5B · MMLU-Pro 16.8BF16 · ~160.7 t/s
- Llama 3.2 1B Instruct1.24B · MMLU-Pro 12.5BF16 · ~189.2 t/s
- Gemma 3 1B Instruct1B · MMLU-Pro 14.7BF16 · ~223.4 t/s
- Qwen 2.5 0.5B Instruct0.5B · MMLU-Pro 10.0BF16 · ~472.4 t/s
- SmolLM2 360M Instruct0.36B · MMLU-Pro 8.0BF16 · ~492.6 t/s
Models that fit with CPU offload (6)
These use system RAM for layers that don't fit in VRAM, so expect much slower inference.
- Qwen 2.5 72B Instruct72B · MMLU-Pro 71.1Q3_K_M · ~1.3 t/s
- Llama 3.3 70B Instruct70B · MMLU-Pro 68.9Q3_K_M · ~1.4 t/s
- DeepSeek R1 Distill Llama 70B70B · MMLU-Pro 70.0Q3_K_M · ~1.4 t/s
- Llama 3.1 70B Instruct70B · MMLU-Pro 66.4Q3_K_M · ~1.4 t/s
- Mixtral 8x7B Instruct v0.146.7B · MMLU-Pro 29.7Q6_K · ~1.3 t/s
- Command-R 35B35B · MMLU-Pro 33.0Q6_K · ~1.2 t/s
Too large for this GPU (40)
- Mixtral 8x22B Instruct v0.1
- Llama 3.1 405B Instruct
- DeepSeek V3 671B
- DeepSeek R1 671B
- Llama 4 Scout 109B
- Llama 4 Maverick 400B
- Qwen3 235B-A22B (MoE)
- MiniMax M1 456B
- GPT-OSS 120B
- GLM-4.5 355B
- GLM-4.5 Air 106B
- GLM-4.6 355B
- GLM-4.6V 106B
- GLM-4.7 358B
- Qwen 3.5 122B-A10B (MoE)
- MiniMax M2.5 229B
- GLM-5 744B
- MiniMax M2.7 229B
- Nemotron 3 Super 120B
- Kimi K2.6
- GLM-5.1 754B
- DeepSeek V4 Pro 1.6T
- DeepSeek V4 Flash 284B
- Mistral Medium 3.5 128B
- GLM-5.2 753B
- Nemotron 3 Ultra 550B-A55B
- Step 3.5 Flash
- Step 3.7 Flash
- MiMo V2.5 Pro
- Kimi K2.5
- MiniMax M3
- Inkling
- Kimi K3
- DeepSeek V4 Flash 0731 284B
- Qwen3.8 2.4T-A95B
- Qwen3.8-Flash-Next
- DeepSeek V4 Pro 0813 1.6T
- Ornith 1.5 397B (MoE)
- GLM-5.3 753B
- GLM-5.3-Flash 320B
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Frequently asked questions
- How much VRAM does the AMD Radeon RX 7900 XT have?
- The AMD Radeon RX 7900 XT has 20 GB of GDDR6 with 800 GB/s memory bandwidth.
- What is the AMD Radeon RX 7900 XT best for?
- With 20 GB of VRAM, the AMD Radeon RX 7900 XT handles smaller models (7B–14B) at Q4–Q5 quantization, ideal for entry-level local LLM experimentation and lightweight inference.
- What LLMs can the AMD Radeon RX 7900 XT run locally?
- The AMD Radeon RX 7900 XT can run 51 of the 97 open-weight models tracked by CanItRun natively in VRAM at 8k context. Top options include: Qwen 3.8 27B at Q3_K_M, Ornith 1.5 35B-A3B (MoE) at Q2_K, Ornith 1.5 9B at Q8_0.
- Can the AMD Radeon RX 7900 XT run Gemma 4 31B?
- Yes. The AMD Radeon RX 7900 XT runs Gemma 4 31B natively in VRAM at Q3_K_M quantization, achieving approximately 31.9 tokens per second.
- Can the AMD Radeon RX 7900 XT run Qwen 3.6 27B?
- Yes. The AMD Radeon RX 7900 XT runs Qwen 3.6 27B natively in VRAM at Q3_K_M quantization, achieving approximately 38.5 tokens per second.
- Can the AMD Radeon RX 7900 XT run Qwen3 8B?
- Yes. The AMD Radeon RX 7900 XT runs Qwen3 8B natively in VRAM at Q8_0 quantization, achieving approximately 53.5 tokens per second.