AMD · consumer
Radeon RX 6400
Radeon RX 6400 has 4 GB of VRAM at 128 GB/s — about 3.72 GiB usable after driver and compositor overhead. 823 of 2118 indexed models fit at 4K context with q8_0 KV.
Spec sheet· bandwidth, theoreticalFrom the file· fit from summed bytesPredicted· speed
Memory
4 GB
GDDR6
Bandwidth
128 GB/s
64-bit bus
Tensor FP16
—
dense
TDP
53 W
$159 MSRP
audio tts 19vision language 58text 681embedding 25image 1audio asr 37video 2
What fits at 4K context
largest quantization that fits, per model · 823 of 2118 indexed
| Model | Best quant | Params | Weights● | KV● | Total in memory◐ | Headroom◐ | tok/s◐ |
|---|---|---|---|---|---|---|---|
| orpheus-3b-0.1-pretrained | Q5_K_S | 3.8B | 2.58 GiB | 0.23 GiB | 3.72 GiB | 0.00 GiB | 28±26.5% |
| gemma-3n-E2B-it | Q4_K_S | 5.4B | 2.77 GiB | 0.05 GiB | 3.72 GiB | 0.00 GiB | 28±26.5% |
| Vikhr-Gemma-2B-instruct | Q8_0 | 2.6B | 2.59 GiB | 0.22 GiB | 3.72 GiB | 0.00 GiB | 28±26.5% |
| gemma-2-2b-it-abliterated | Q8_0 | 2.6B | 2.59 GiB | 0.22 GiB | 3.72 GiB | 0.00 GiB | 28±26.5% |
| gemma-2-2b-it | Q8_0 | 2.6B | 2.59 GiB | 0.22 GiB | 3.72 GiB | 0.00 GiB | 28±26.5% |
| Gemmasutra-Mini-2B-v1 | Q8_0 | 2.6B | 2.59 GiB | 0.22 GiB | 3.72 GiB | 0.00 GiB | 28±26.5% |
| OvisOCR2 | F32 | 853M | 2.81 GiB | 0.02 GiB | 3.72 GiB | 0.00 GiB | 28±26.5% |
| Phi-4-mini-reasoning | Q5_K_S | 3.8B | 2.54 GiB | 0.27 GiB | 3.72 GiB | 0.00 GiB | 28±26.5% |
| Phi-4-mini-instruct | Q5_K_S | 3.8B | 2.54 GiB | 0.27 GiB | 3.72 GiB | 0.00 GiB | 28±26.5% |
| deepseek-coder-6.7B-kexer | I1-IQ2_XXS | 6.7B | 1.73 GiB | 1.06 GiB | 3.72 GiB | 0.00 GiB | 29±26.5% |
| Magicoder-S-DS-6.7B | I1-IQ2_XXS | 6.7B | 1.73 GiB | 1.06 GiB | 3.72 GiB | 0.00 GiB | 29±26.5% |
| deepseek-coder-6.7b-base | I1-IQ2_XXS | 6.7B | 1.73 GiB | 1.06 GiB | 3.72 GiB | 0.00 GiB | 29±26.5% |
| WizardLM-7B-Uncensored | I1-IQ2_XXS | 6.7B | 1.73 GiB | 1.06 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Llama-2-7B-32K-Instruct | I1-IQ2_XXS | 6.7B | 1.73 GiB | 1.06 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Luna-AI-Llama2-Uncensored | I1-IQ2_XXS | 6.7B | 1.73 GiB | 1.06 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Swallow-7b-NVE-instruct-hf | I1-IQ2_XXS | 6.7B | 1.73 GiB | 1.06 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| nomic-embed-code | Q2_K | 7.1B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Nemotron-3-Embed-8B-BF16 | IQ2_S | 8.0B | 2.49 GiB | 0.28 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| DeepHat-V1-7B-Heretic-Abliterated | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| ShizhenGPT-7B-VL | I1-Q2_K_S | 8.3B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| HuatuoGPT-o1-7B | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| MathSmith-DS-Qwen-7B-LongCoT | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| AstraGPTCoder-7B | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen2.5-Coder-7B-Instruct-Ghidra-v2 | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| EsDrac-v1-7B | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Hemlock-Apothecary-7B-GRPO-e3 | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| openhands-lm-7b-v0.1 | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Hemlock2-Coder-7B-GRPO | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| shellwhiz-7b | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen2.5-Coder-7B-Instruct-OBLITERATED-advanced | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen-STEM-Specialist-7B | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| VulnLLM-R-7B | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Garnet-OCR-7B-0422 | I1-Q2_K_S | 8.3B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| UwU-7B-Instruct | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Video-R1-7B | I1-Q2_K_S | 8.3B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| HARC-Qwen2.5-7B-Instruct | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen2.5-Coder-7B-Abliterated | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Bozdogan-7B | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Crazy-AI-Model | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| turbo-ai-7b | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| DeepSeek-R1-Distill-Qwen-7B-abliterated-v2 | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Ghosty-7B | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| SP-7B | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen2.5-Coder-7B-Instruct-Uncensored | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen2.5-VL-7B-Instruct-abliterated | I1-Q2_K_S | 8.3B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| DeepSeek-R1-Distill-Qwen-8B-Abliterated | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen2.5-7B | Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Qwen2.5-VL-7B-Instruct-heretic | I1-Q2_K_S | 8.3B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| AWARES-Qwen2.5-VL-7B | I1-Q2_K_S | 8.3B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| olmOCR-2-7B-1025 | I1-Q2_K_S | 8.3B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Med-RwR | I1-Q2_K_S | 8.3B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| SpatialThinker-7B | I1-Q2_K_S | 8.3B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| MQ-Coldbrew-Base | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Kepler-Reasoning-7B | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| DeepSeek-R1-Distill-Qwen-7B-Uncensored-Reasoner | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| DeepSeek-R1-Distill-Qwen-7B-Uncensored | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| DeepSeek-R1-STEM-Coder-7B | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Kepler-8B-Instruct-v2 | I1-Q2_K_S | 7.6B | 2.64 GiB | 0.12 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| Maestro1-9B | TQ2_0 | 8.8B | 2.48 GiB | 0.30 GiB | 3.71 GiB | 0.01 GiB | 29±26.5% |
| gemma-4-E2B-it-ultra-uncensored-heretic | I1-Q2_K | 5.1B | 2.78 GiB | 0.03 GiB | 3.71 GiB | 0.01 GiB | 28±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 6400 run?
- 823 of 2118 indexed open-weight models fit a Radeon RX 6400 at 4,096 context with q8_0 KV cache, the largest being orpheus-3b-0.1-pretrained at Q5_K_S. That covers text, vision-language, image, video and speech models.
- How much usable memory does a Radeon RX 6400 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 6400 fast for local AI?
- Its memory bandwidth is 128 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.