How much VRAM does the AMD Radeon RX 7900 GRE have?

The AMD Radeon RX 7900 GRE has 16 GB of GDDR6 with 576 GB/s memory bandwidth.

What is the AMD Radeon RX 7900 GRE best for?

With 16 GB of VRAM, the AMD Radeon RX 7900 GRE 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 GRE run locally?

The AMD Radeon RX 7900 GRE can run 46 of the 99 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 GRE run Gemma 4 31B?

Yes. The AMD Radeon RX 7900 GRE runs Gemma 4 31B natively in VRAM at Q2_K quantization, achieving approximately 28.3 tokens per second.

Can the AMD Radeon RX 7900 GRE run Qwen 3.6 27B?

Yes. The AMD Radeon RX 7900 GRE runs Qwen 3.6 27B natively in VRAM at Q3_K_M quantization, achieving approximately 27.7 tokens per second.

Can the AMD Radeon RX 7900 GRE run Qwen3 8B?

Yes. The AMD Radeon RX 7900 GRE runs Qwen3 8B natively in VRAM at Q8_0 quantization, achieving approximately 38.6 tokens per second.

AMD Radeon RX 7900 GRE

The AMD Radeon RX 7900 GRE has 16 GB VRAM and 576 GB/s memory bandwidth. It can run 46 of our 99 tracked models natively in VRAM at 8k context.

With 16 GB GDDR6, the AMD Radeon RX 7900 GRE is a consumer-tier GPU that can run 46 models natively. 7B-14B models fit natively at Q4. 27B models are tight or need CPU offload. ~7-11 t/s for 7B Q4.

AMD Radeon RX 7900 GRE: 2023 RDNA 3 with 16GB GDDR6 at 576 GB/s, a China/OEM-focused trim slotted between the RX 7900 XT and the RX 7800 XT.

7B-14B models fit natively at Q4. 27B models are tight or need CPU offload. ~7-11 t/s for 7B Q4.

ROCm Linux support with llama.cpp compiled for AMD. Windows users should use the Vulkan backend. Same 16GB-class model compatibility as the RTX 4060 Ti 16GB.

Vendor	AMD
Architecture	RDNA 3
VRAM	16 GB
Memory type	GDDR6
Memory bandwidth	576 GB/s
Compute backend	ROCM
Tier	Consumer
Released	2023
Models (native)	46 / 99
Models (offload)	12 / 99

Software: ROCm is Linux-only; on Windows use the Vulkan backend instead. Requires llama.cpp compiled with ROCm support.

Popular models for this GPU

Qwen 3.5 35B-A3B (MoE)Ornith 1.5 35B-A3B (MoE)Nemotron 3 Nano 30B Gemma 4 31B Qwen3 30B-A3B (MoE)

Models this GPU runs natively in VRAM (46)

Show 41 more

Models that fit with CPU offload (12)

These use system RAM for layers that don't fit in VRAM, so expect much slower inference.

Too large for this GPU (41)

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Frequently asked questions

How much VRAM does the AMD Radeon RX 7900 GRE have?: The AMD Radeon RX 7900 GRE has 16 GB of GDDR6 with 576 GB/s memory bandwidth.
What is the AMD Radeon RX 7900 GRE best for?: With 16 GB of VRAM, the AMD Radeon RX 7900 GRE 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 GRE run locally?: The AMD Radeon RX 7900 GRE can run 46 of the 99 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 GRE run Gemma 4 31B?: Yes. The AMD Radeon RX 7900 GRE runs Gemma 4 31B natively in VRAM at Q2_K quantization, achieving approximately 28.3 tokens per second.
Can the AMD Radeon RX 7900 GRE run Qwen 3.6 27B?: Yes. The AMD Radeon RX 7900 GRE runs Qwen 3.6 27B natively in VRAM at Q3_K_M quantization, achieving approximately 27.7 tokens per second.
Can the AMD Radeon RX 7900 GRE run Qwen3 8B?: Yes. The AMD Radeon RX 7900 GRE runs Qwen3 8B natively in VRAM at Q8_0 quantization, achieving approximately 38.6 tokens per second.