AMD · consumer
Radeon RX 6500 XT
Radeon RX 6500 XT has 4 GB of VRAM at 144 GB/s — about 3.72 GiB usable after driver and compositor overhead. 824 of 2118 indexed models fit at 8K context with q4_0 KV.
Spec sheet· bandwidth, theoreticalFrom the file· fit from summed bytesPredicted· speed
Memory
4 GB
GDDR6
Bandwidth
144 GB/s
64-bit bus
Tensor FP16
—
dense
TDP
107 W
$199 MSRP
embedding 25vision language 58text 682image 1audio tts 19audio asr 37video 2
What fits at 8K context
largest quantization that fits, per model · 824 of 2118 indexed
| Model | Best quant | Params | Weights● | KV● | Total in memory◐ | Headroom◐ | tok/s◐ |
|---|---|---|---|---|---|---|---|
| nomic-embed-code | Q2_K | 7.1B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| OvisOCR2 | F32 | 853M | 2.81 GiB | 0.03 GiB | 3.72 GiB | 0.00 GiB | 31±26.5% |
| NVIDIA-Nemotron-3-Nano-4B-BF16 | Q4_0 | 4.0B | 2.42 GiB | 0.37 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| DeepHat-V1-7B-Heretic-Abliterated | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| ShizhenGPT-7B-VL | I1-Q2_K_S | 8.3B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| HuatuoGPT-o1-7B | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| MathSmith-DS-Qwen-7B-LongCoT | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| AstraGPTCoder-7B | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| Qwen2.5-Coder-7B-Instruct-Ghidra-v2 | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| EsDrac-v1-7B | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| Hemlock-Apothecary-7B-GRPO-e3 | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| openhands-lm-7b-v0.1 | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| Hemlock2-Coder-7B-GRPO | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| shellwhiz-7b | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| Qwen2.5-Coder-7B-Instruct-OBLITERATED-advanced | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| Qwen-STEM-Specialist-7B | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| VulnLLM-R-7B | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| Garnet-OCR-7B-0422 | I1-Q2_K_S | 8.3B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| UwU-7B-Instruct | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| Video-R1-7B | I1-Q2_K_S | 8.3B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| HARC-Qwen2.5-7B-Instruct | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| Qwen2.5-Coder-7B-Abliterated | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| Bozdogan-7B | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| Crazy-AI-Model | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| turbo-ai-7b | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| DeepSeek-R1-Distill-Qwen-7B-abliterated-v2 | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| Ghosty-7B | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| SP-7B | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| Qwen2.5-Coder-7B-Instruct-Uncensored | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| Qwen2.5-VL-7B-Instruct-abliterated | I1-Q2_K_S | 8.3B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| DeepSeek-R1-Distill-Qwen-8B-Abliterated | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| Qwen2.5-7B | Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| Qwen2.5-VL-7B-Instruct-heretic | I1-Q2_K_S | 8.3B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| AWARES-Qwen2.5-VL-7B | I1-Q2_K_S | 8.3B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| olmOCR-2-7B-1025 | I1-Q2_K_S | 8.3B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| Med-RwR | I1-Q2_K_S | 8.3B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| SpatialThinker-7B | I1-Q2_K_S | 8.3B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| Nexa-AI-4x4B-InstructMoE | I1-IQ1_S | 12.1B | 2.49 GiB | 0.32 GiB | 3.72 GiB | 0.00 GiB | 31±37% |
| MQ-Coldbrew-Base | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| Kepler-Reasoning-7B | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| DeepSeek-R1-Distill-Qwen-7B-Uncensored-Reasoner | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| DeepSeek-R1-Distill-Qwen-7B-Uncensored | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| DeepSeek-R1-STEM-Coder-7B | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| Kepler-8B-Instruct-v2 | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.72 GiB | 0.00 GiB | 32±26.5% |
| gemma-3n-E2B-it | Q4_K_S | 5.4B | 2.77 GiB | 0.04 GiB | 3.71 GiB | 0.01 GiB | 32±26.5% |
| Fimbulvetr-11B-v2 | I1-IQ1_S | 10.7B | 2.35 GiB | 0.42 GiB | 3.71 GiB | 0.01 GiB | 32±26.5% |
| Qwen2.5-3B-Instruct-abliterated | I1-IQ3_XS | 3.1B | 2.72 GiB | 0.08 GiB | 3.71 GiB | 0.01 GiB | 32±26.5% |
| Dolphin3.0-Llama3.2-3B | Q6_K_L | 3.2B | 2.55 GiB | 0.25 GiB | 3.71 GiB | 0.01 GiB | 32±26.5% |
| Llama-Song-Stream-3B-Instruct | Q6_K_L | 3.2B | 2.55 GiB | 0.25 GiB | 3.71 GiB | 0.01 GiB | 32±26.5% |
| Llama-Doctor-3.2-3B-Instruct | Q6_K_L | 3.2B | 2.55 GiB | 0.25 GiB | 3.71 GiB | 0.01 GiB | 32±26.5% |
| llama-3.2-Korean-Bllossom-3B | Q6_K_L | 3.2B | 2.55 GiB | 0.25 GiB | 3.71 GiB | 0.01 GiB | 32±26.5% |
| Llama-3.2-3B-Instruct | Q6_K_L | 3.2B | 2.55 GiB | 0.25 GiB | 3.71 GiB | 0.01 GiB | 32±26.5% |
| Hermes-3-Llama-3.2-3B | Q6_K_L | 3.2B | 2.55 GiB | 0.25 GiB | 3.71 GiB | 0.01 GiB | 32±26.5% |
| Holo-3.1-4B | I1-Q4_K_S | 5.2B | 2.72 GiB | 0.07 GiB | 3.70 GiB | 0.02 GiB | 32±26.5% |
| AfriqueQwen3.5-4B | I1-Q4_K_S | 5.2B | 2.72 GiB | 0.07 GiB | 3.70 GiB | 0.02 GiB | 32±26.5% |
| TimeOmni-1-4B | I1-Q4_K_S | 5.2B | 2.72 GiB | 0.07 GiB | 3.70 GiB | 0.02 GiB | 32±26.5% |
| ToriiGate-0.5 | Q4_K_S | 5.2B | 2.72 GiB | 0.07 GiB | 3.70 GiB | 0.02 GiB | 32±26.5% |
| chandra-ocr-2 | Q4_K_S | 5.3B | 2.72 GiB | 0.07 GiB | 3.70 GiB | 0.02 GiB | 32±26.5% |
| Janus-Pro-7B | I1-IQ1_M | 7.4B | 1.72 GiB | 1.05 GiB | 3.70 GiB | 0.02 GiB | 32±26.5% |
| deepseek-coder-7b-instruct-v1.5 | I1-IQ1_M | 6.9B | 1.72 GiB | 1.05 GiB | 3.70 GiB | 0.02 GiB | 32±26.5% |
Speed is modeled, not measured: decode is memory-bandwidth bound, so tokens per second is bytes read per token against achievable bandwidth. Mixture-of-experts models carry a wider band because only the routed experts are read each step, and few have been measured publicly.
Questions people ask
- What AI models can a Radeon RX 6500 XT run?
- 824 of 2118 indexed open-weight models fit a Radeon RX 6500 XT at 8,192 context with q4_0 KV cache, the largest being nomic-embed-code at Q2_K. That covers text, vision-language, image, video and speech models.
- How much usable memory does a Radeon RX 6500 XT actually have?
- Its nameplate is 4 GB, but about 3.72 GiB is available to a model once driver and compositor overhead is accounted for.
- Is a Radeon RX 6500 XT fast for local AI?
- Its memory bandwidth is 144 GB/s, and that figure — not teraflops — is what governs token generation speed. Capacity decides what you can run; bandwidth decides how fast it runs.