Best AI Models for AMD Radeon RX 6700 XT (12.0GB)
12 GB is the sweet spot for entry into local AI. It runs 7B–13B models at good quality quantizations, making it a practical and affordable starting point for running LLMs on your own hardware.
This memory tier, common on GPUs like the RTX 3060 12GB, is surprisingly capable for local AI. You can run Llama 3 8B, Mistral 7B, and similar 7B models at Q4_K_M quantization with decent token generation speed. Smaller models like Phi 3 Mini (3.8B) run at Q6 or Q8 with room to spare. Reaching up to 13B models is possible at Q2–Q3 quantization, though quality trade-offs become more noticeable.
Runs Well
- 7B models at Q4_K_M quality
- Small models (3B–4B) at Q5–Q8
- Chat and coding assistants for everyday use
Challenging
- 13B models only at Q2–Q3 (lower quality)
- 14B+ models do not fit
- Context windows limited for 7B+ models
What LLMs Can AMD Radeon RX 6700 XT Run?
Showing compatibility for AMD Radeon RX 6700 XT
| Model | Quant | VRAM | Speed | Context | Status | Grade |
|---|---|---|---|---|---|---|
| Q4_K_M | 5.4 GB45% | 39.2 t/s | 131K | FAIR FIT | B60 | |
| Q4_K_M | 5.0 GB42% | 42.3 t/s | 131K | FAIR FIT | B57 | |
| Q8_0 | 4.9 GB41% | 43.0 t/s | 4K | FAIR FIT | B56 | |
| Q4_K_M | 2.9 GB24% | 73.1 t/s | 41K | EASY RUN | C39 | |
| Q4_K_M | 2.6 GB22% | 80.0 t/s | 2K | EASY RUN | C37 | |
| Q4_K_M | 2.9 GB24% | 74.1 t/s | 131K | EASY RUN | C39 | |
| Q4_K_M | 2.0 GB17% | 106.7 t/s | 131K | EASY RUN | C34 | |
| Q4_K_M | 1.0 GB8% | 209.1 t/s | 2K | EASY RUN | D29 |
AMD Radeon RX 6700 XT Specifications
- Brand
- AMD
- Architecture
- RDNA 2
- VRAM
- 12.0 GB GDDR6
- Memory Bandwidth
- 384.0 GB/s
- Stream Processors
- 2,560
- FP16 Performance
- 13.20 TFLOPS
- TDP
- 230W
- Release Date
- 2021-03-18
- MSRP
- $479
Get Started
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Frequently Asked Questions
- Can AMD Radeon RX 6700 XT run Llama 3 8B?
Yes, the AMD Radeon RX 6700 XT with 12 GB can run Llama 3 8B at Q4_K_M quantization with good performance. At this VRAM level, you can expect smooth token generation and responsive inference for chat and coding tasks.
- Is AMD Radeon RX 6700 XT good for AI?
The AMD Radeon RX 6700 XT has 12 GB of GDDR6, making it solid for running local LLM models. 7B models run well at Q4 quality, and smaller models shine.
- How many parameters can AMD Radeon RX 6700 XT handle?
With 12 GB, the AMD Radeon RX 6700 XT can handle models up to approximately 7-14B parameters depending on quantization. Using Q4_K_M quantization (the typical sweet spot), you can fit roughly 20B parameters.
- What quantization should I use on AMD Radeon RX 6700 XT?
For the best balance of quality and speed on 12 GB, Q4_K_M is the recommended starting point. If you have headroom, try Q5_K_M for better quality. For larger models that barely fit, Q3_K_M or Q2_K can squeeze them in at the cost of some output quality.
- How fast is AMD Radeon RX 6700 XT for AI inference?
Speed depends on the model size and quantization. With 384.0 GB/s memory bandwidth, the AMD Radeon RX 6700 XT can typically achieve 15-35 tokens per second on 7B models at Q4_K_M quantization, which is comfortable for interactive chat.