Which AI models run on a AMD Radeon RX 6650 XT?
The AMD Radeon RX 6650 XT has 8 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 6650 XT comes with 8 GB of VRAM. Among the popular GGUF models we track, it can run 25 of them entirely in VRAM — including Qwen3-4B-GGUF, Meta-Llama-3.1-8B-Instruct-GGUF, Jan-v3.5-4B-gguf.
With 8 GB you can typically run a 7–8B model at Q6, entirely in VRAM. Which quantization is best depends on the exact model and your context length. For a full shortlist, see the best LLM for 8 GB of VRAM.
Larger models such as Qwen3-Coder-30B-A3B-Instruct-GGUF still run on a AMD Radeon RX 6650 XT but require offloading part of the model to system RAM, which lowers speed. Models that exceed both VRAM and RAM are not listed.
25 fit fully in VRAM · 10 run with offload
| Model | Size | Quant. | Quality | Memory | Speed~ | Verdict |
|---|---|---|---|---|---|---|
| MaziyarPanahi/Qwen3-4B-GGUF | 4.02B | Q6_K | Excellent |
4.44 GB
|
129.9 t/s | Fits in VRAM |
| bartowski/Meta-Llama-3.1-8B-Instruct-GGUF | 8.03B | Q6_K_L | Excellent |
7.66 GB
|
62.7 t/s | Fits in VRAM |
| janhq/Jan-v3.5-4B-gguf | 4.41B | Q8_0 | Excellent |
5.73 GB
|
91.5 t/s | Fits in VRAM |
| Qwen/Qwen3-8B-GGUF | 8.19B | Q6_K | Excellent |
7.63 GB
|
63.9 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 | Q2_K | Low |
6.78 GB
|
74.6 t/s | Fits in VRAM |
| MaziyarPanahi/Qwen3-1.7B-GGUF | 2.03B | GGUF | Excellent |
5.03 GB
|
105.5 t/s | Fits in VRAM |
| bartowski/Qwen2.5-7B-Instruct-GGUF | 7.62B | Q6_K_L | Excellent |
7.09 GB
|
65.9 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 |
| 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 | Q6_K | Excellent |
6.84 GB
|
68.7 t/s | Fits in VRAM |
| MaziyarPanahi/Qwen3-4B-Instruct-2507-GGUF | 4.02B | Q6_K | Excellent |
4.44 GB
|
129.9 t/s | Fits in VRAM |
| MaziyarPanahi/Meta-Llama-3-8B-Instruct-GGUF | 8.03B | Q6_K | Excellent |
7.42 GB
|
65.1 t/s | Fits in VRAM |
| MaziyarPanahi/Mistral-7B-Instruct-v0.3-GGUF | 7.25B | Q6_K | Excellent |
6.84 GB
|
72.2 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 | Q8_0 | Excellent |
5.0 GB
|
104.0 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 | Q6_K | Excellent |
7.42 GB
|
65.1 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 | Q3_K_L | Good |
7.54 GB
|
65.5 t/s | Fits in VRAM |
| MaziyarPanahi/WizardLM-2-7B-GGUF | 7.24B | Q6_K | Excellent |
6.79 GB
|
72.3 t/s | Fits in VRAM |
| unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF | 30.53B | Q5_K_XL | Very good |
21.42 GB
|
2.5 t/s | Offload |
| unsloth/gpt-oss-20b-GGUF | 20.91B | F16 | Very good |
13.74 GB
|
3.9 t/s | Offload |
| unsloth/Qwen-AgentWorld-35B-A3B-GGUF | 34.66B | Q4_K_XL | Very good |
21.67 GB
|
2.4 t/s | Offload |
| MaziyarPanahi/Qwen3-32B-GGUF | 32.76B | Q5_K_M | Very good |
23.42 GB
|
2.3 t/s | Offload |
| MaziyarPanahi/Qwen3-30B-A3B-GGUF | 30.53B | Q5_K_M | Very good |
21.41 GB
|
2.5 t/s | Offload |
| unsloth/Ornith-1.0-35B-GGUF | — | Q4_K_XL | Excellent |
21.67 GB
|
2.4 t/s | Offload |
| bartowski/Kwaipilot_KAT-Coder-V2.5-Dev-GGUF | 34.66B | Q5_K_S | Very good |
23.38 GB
|
2.2 t/s | Offload |
| unsloth/Qwen3-Coder-Next-GGUF | 79.67B | IQ2_XXS | Very low |
22.89 GB
|
2.3 t/s | Offload |
| MaziyarPanahi/Mistral-Small-24B-Instruct-2501-GGUF | 23.57B | Q6_K | Excellent |
19.44 GB
|
2.8 t/s | Offload |
| unsloth/GLM-4.7-Flash-GGUF | 31.22B | Q5_K_XL | Very good |
21.21 GB
|
2.5 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 6650 XT have?
The AMD Radeon RX 6650 XT has 8 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 6650 XT?
Among popular models, MaziyarPanahi/Qwen3-4B-GGUF runs well on a AMD Radeon RX 6650 XT using the Q6_K quantization (about 4.44 GB). With 8 GB you can generally run a 7–8B model at Q6, entirely in VRAM. Larger models trade speed for capability via RAM offloading. See the best LLM for 8 GB of VRAM.
Can a AMD Radeon RX 6650 XT run a 7–8B model?
Yes. A 7–8B model like Meta-Llama-3.1-8B-Instruct-GGUF fits entirely in the 8 GB of a AMD Radeon RX 6650 XT (Q6_K_L).
Can a AMD Radeon RX 6650 XT run a 13–14B model?
Yes. A 13–14B model like Qwen3-14B-GGUF fits entirely in the 8 GB of a AMD Radeon RX 6650 XT (Q2_K).
Can a AMD Radeon RX 6650 XT run a 70B model?
Only with offloading. A 70B model like Qwen3-Coder-Next-GGUF runs on a AMD Radeon RX 6650 XT by using system RAM in addition to its 8 GB, which is slower.