RunsLocalGPU checkerLocal AI toolsv1.8 · data Oct 14, 2026

All hardware / RX 7900 XT

What AI models can the RX 7900 XT run?

With 20 GB of VRAM, the RX 7900 XT runs 12 of 22 popular open models fully in fast memory at Q4_K_M or better (8K context, assuming 32 GB of DDR5 system RAM). The largest that fit are Granite 4.2 30B (Q4_K_M), Qwen3.8 27B (Q4_K_M), Qwen3.6 27B (Q4_K_M). Fastest: Gemma 4 E2B at over 150 tokens/sec and Gemma 4 26B A4B at over 150 tokens/sec. 2 more run with offload to system RAM, but slower.

Check with your own RAM and context length
ModelResultBest quantMemory neededEst. speed
Gemma 4 E2B
small
Runs on GPUQ8_06.1 GB150+ tok/s
Gemma 4 26B A4B
MoE · vision
Runs on GPUQ5_K_M19.0 GB150+ tok/s
gpt-oss-20b
MoE · reasoning
Runs on GPUQ6_K18.1 GB150+ tok/s
Ministral 3 3B
small
Runs on GPUQ8_04.8 GB119 tok/s
Gemma 4 E4B
small · audio
Runs on GPUQ8_09.3 GB100 tok/s
Qwen3.5 9B
general
Runs on GPUQ8_011.3 GB47 tok/s
Gemma 4 12B
general · audio
Runs on GPUQ8_013.8 GB38 tok/s
Phi-4 14B
reasoning
Runs on GPUQ8_017.7 GB31 tok/s
Qwen3.6 27B
coding
Runs on GPUQ4_K_M17.5 GB29 tok/s
Qwen3.8 27B
coding
Runs on GPUQ4_K_M18.0 GB28 tok/s
Mistral Small 3.1 24B
general
Runs on GPUQ5_K_M18.9 GB28 tok/s
Granite 4.2 30B
general
Runs on GPUQ4_K_M18.6 GB27 tok/s
Qwen3.6 35B-A3B
MoE · coding
Needs offloadQ4_K_M22.2 GB114 tok/s
Gemma 4 31B
general · vision
Lower quality fitQ3_K_M16.2 GB32 tok/s
Hermes 4.3 36B
general
Needs offloadQ4_K_M23.9 GB7.3 tok/s
Llama 3.3 70B
general
Too bigQ4_K_M45.9 GB—
Llama 4 Scout
MoE · vision
Too bigQ4_K_M68.1 GB—
gpt-oss-120b
MoE · reasoning
Too bigQ4_K_M72.0 GB—
Qwen3.5 122B-A10B
MoE
Too bigQ4_K_M75.3 GB—
Qwen3.8-Flash-Next
MoE
Too bigQ4_K_M107.8 GB—
GLM-5.3-Flash
MoE · coding
Too bigQ4_K_M196.0 GB—
DeepSeek V4.1-Flash
MoE · coding
Too bigQ4_K_M335.8 GB—

Specs used: 20 GB of VRAM, 800 GB/s memory bandwidth. Speeds are estimates for generating text with llama.cpp-style runtimes; real numbers usually land within about 20%.

Apps that support the RX 7900 XT