Which AI models run on a AMD Radeon RX 7700 XT?
The AMD Radeon RX 7700 XT has 12 GB of VRAM. Here are the popular AI models it can run locally (4,096-token context, ~16.0 GB system RAM assumed), ranked by popularity.
See also: Best GPU for running local LLMs.
The AMD Radeon RX 7700 XT comes with 12 GB of VRAM. Among the popular GGUF models we track, it can run 33 of them entirely in VRAM — including Qwen3-Coder-30B-A3B-Instruct-GGUF, gpt-oss-20b-GGUF, Qwen-AgentWorld-35B-A3B-GGUF.
With 12 GB you can typically run a 14B model at Q5, comfortably. Which quantization is best depends on the exact model and your context length. For a full shortlist, see the best LLM for 12 GB of VRAM.
Larger models such as Qwen3-32B-GGUF still run on a AMD Radeon RX 7700 XT but require offloading part of the model to system RAM, which lowers speed. Models that exceed both VRAM and RAM are not listed.
33 fit fully in VRAM · 3 run with offload
| Model | Size | Quant. | Quality | Memory | Speed~ | Verdict |
|---|---|---|---|---|---|---|
| unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF | 30.53B | Q2_K_L | Low |
11.73 GB
|
37.9 t/s | Fits in VRAM |
| unsloth/gpt-oss-20b-GGUF | 20.91B | Q4_K_XL | Good |
11.95 GB
|
36.2 t/s | Fits in VRAM |
| unsloth/Qwen-AgentWorld-35B-A3B-GGUF | 34.66B | IQ2_M | Low |
11.65 GB
|
37.1 t/s | Fits in VRAM |
| MaziyarPanahi/Qwen3-4B-GGUF | 4.02B | GGUF | Excellent |
8.86 GB
|
53.3 t/s | Fits in VRAM |
| bartowski/Meta-Llama-3.1-8B-Instruct-GGUF | 8.03B | Q8_0 | Excellent |
9.23 GB
|
50.3 t/s | Fits in VRAM |
| janhq/Jan-v3.5-4B-gguf | 4.41B | GGUF | Excellent |
9.59 GB
|
48.6 t/s | Fits in VRAM |
| Qwen/Qwen3-8B-GGUF | 8.19B | Q8_0 | Excellent |
9.47 GB
|
49.3 t/s | Fits in VRAM |
| MaziyarPanahi/Qwen3-0.6B-GGUF | 0.75B | GGUF | Excellent |
2.64 GB
|
284.6 t/s | Fits in VRAM |
| MaziyarPanahi/Qwen3-14B-GGUF | 14.77B | Q5_K_M | Very good |
11.22 GB
|
40.8 t/s | Fits in VRAM |
| MaziyarPanahi/Qwen3-1.7B-GGUF | 2.03B | GGUF | Excellent |
5.03 GB
|
105.5 t/s | Fits in VRAM |
| MaziyarPanahi/Qwen3-30B-A3B-GGUF | 30.53B | Q2_K | Low |
11.66 GB
|
38.1 t/s | Fits in VRAM |
| bartowski/Qwen2.5-7B-Instruct-GGUF | 7.62B | Q8_0 | Excellent |
8.56 GB
|
53.0 t/s | Fits in VRAM |
| unsloth/Ornith-1.0-35B-GGUF | — | IQ2_M | Excellent |
11.65 GB
|
37.1 t/s | Fits in VRAM |
| Qwen/Qwen2.5-3B-Instruct-GGUF | 3.09B | GGUF | Excellent |
7.27 GB
|
63.2 t/s | Fits in VRAM |
| LiquidAI/LFM2.5-2.6B-GGUF | 2.7B | BF16 | Excellent |
5.89 GB
|
79.5 t/s | Fits in VRAM |
| LiquidAI/LFM2.5-1.2B-Instruct-GGUF | 1.17B | BF16 | Excellent |
3.03 GB
|
183.3 t/s | Fits in VRAM |
| bartowski/Kwaipilot_KAT-Coder-V2.5-Dev-GGUF | 34.66B | IQ2_S | Very low |
11.13 GB
|
39.0 t/s | Fits in VRAM |
| Qwen/Qwen2.5-1.5B-Instruct-GGUF | 1.54B | GGUF | Excellent |
4.23 GB
|
120.6 t/s | Fits in VRAM |
| Qwen/Qwen2.5-Coder-7B-Instruct-GGUF | 7.62B | Q8_0 | Excellent |
8.56 GB
|
53.0 t/s | Fits in VRAM |
| MaziyarPanahi/Qwen3-4B-Instruct-2507-GGUF | 4.02B | GGUF | Excellent |
8.86 GB
|
53.3 t/s | Fits in VRAM |
| MaziyarPanahi/Meta-Llama-3-8B-Instruct-GGUF | 8.03B | Q8_0 | Excellent |
9.23 GB
|
50.3 t/s | Fits in VRAM |
| MaziyarPanahi/Mistral-7B-Instruct-v0.3-GGUF | 7.25B | Q8_0 | Excellent |
8.47 GB
|
55.8 t/s | Fits in VRAM |
| Qwen/Qwen2.5-0.5B-Instruct-GGUF | 0.49B | GGUF | Excellent |
2.03 GB
|
339.1 t/s | Fits in VRAM |
| MaziyarPanahi/gemma-3-4b-it-GGUF | 4.3B | GGUF | Excellent |
8.38 GB
|
55.3 t/s | Fits in VRAM |
| MaziyarPanahi/Phi-3.5-mini-instruct-GGUF | 3.82B | Q8_0 | Excellent |
6.08 GB
|
105.8 t/s | Fits in VRAM |
| lmstudio-community/Llama-3.2-3B-Instruct-GGUF | 3.21B | Q8_0 | Excellent |
4.29 GB
|
125.5 t/s | Fits in VRAM |
| MaziyarPanahi/Llama-3-8B-Instruct-32k-v0.1-GGUF | 8.03B | Q8_0 | Excellent |
9.23 GB
|
50.3 t/s | Fits in VRAM |
| MaziyarPanahi/Mistral-Small-24B-Instruct-2501-GGUF | 23.57B | Q3_K_S | Fair |
11.11 GB
|
41.3 t/s | Fits in VRAM |
| MaziyarPanahi/Yi-1.5-6B-Chat-GGUF | 6.06B | Q6_K | Excellent |
5.68 GB
|
86.3 t/s | Fits in VRAM |
| MaziyarPanahi/Llama-3.2-1B-Instruct-GGUF | 1.24B | GGUF | Excellent |
3.3 GB
|
173.2 t/s | Fits in VRAM |
| MaziyarPanahi/Mistral-Nemo-Instruct-2407-GGUF | 12.25B | Q6_K | Excellent |
10.79 GB
|
42.7 t/s | Fits in VRAM |
| unsloth/GLM-4.7-Flash-GGUF | 31.22B | Q2_K_L | Low |
11.64 GB
|
37.6 t/s | Fits in VRAM |
| MaziyarPanahi/WizardLM-2-7B-GGUF | 7.24B | Q8_0 | Excellent |
8.42 GB
|
55.8 t/s | Fits in VRAM |
| MaziyarPanahi/Qwen3-32B-GGUF | 32.76B | Q6_K | Excellent |
26.84 GB
|
2.0 t/s | Offload |
| unsloth/Qwen3-Coder-Next-GGUF | 79.67B | IQ3_XXS | Low |
27.7 GB
|
1.9 t/s | Offload |
| MaziyarPanahi/Llama-3.3-70B-Instruct-GGUF | 70.55B | Q2_K | Low |
26.78 GB
|
2.0 t/s | Offload |
"Fits in VRAM" = fast, fully on GPU. "Offload" = part on system RAM, slower. Speed is a rough estimate.
Frequently asked questions
How much VRAM does the AMD Radeon RX 7700 XT have?
The AMD Radeon RX 7700 XT has 12 GB of VRAM, which determines how large a model it can run entirely on the GPU.
What is the best LLM to run on a AMD Radeon RX 7700 XT?
Among popular models, unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF runs well on a AMD Radeon RX 7700 XT using the Q2_K_L quantization (about 11.73 GB). With 12 GB you can generally run a 14B model at Q5, comfortably. Larger models trade speed for capability via RAM offloading. See the best LLM for 12 GB of VRAM.
Can a AMD Radeon RX 7700 XT run a 7–8B model?
Yes. A 7–8B model like Meta-Llama-3.1-8B-Instruct-GGUF fits entirely in the 12 GB of a AMD Radeon RX 7700 XT (Q8_0).
Can a AMD Radeon RX 7700 XT run a 13–14B model?
Yes. A 13–14B model like Qwen3-14B-GGUF fits entirely in the 12 GB of a AMD Radeon RX 7700 XT (Q5_K_M).
Can a AMD Radeon RX 7700 XT run a 70B model?
Only with offloading. A 70B model like Qwen3-Coder-Next-GGUF runs on a AMD Radeon RX 7700 XT by using system RAM in addition to its 12 GB, which is slower.