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Compatibility check

Can you run DeepSeek R1 Distill Qwen 14B on the Radeon RX 9070 XT?

Yes — with quantization

Yes, with quantization. DeepSeek R1 Distill Qwen 14B does not fit the Radeon RX 9070 XT (16 GB) in FP16, but it runs at INT4 (4-bit) using about 9.3 GB (58% of VRAM). Use a GPTQ, AWQ, or GGUF build to get there, and keep prompts moderate to leave room for the KV cache.

Memory breakdown

Weights plus a 0.8 GB KV cache at 4,096tokens, against the card's 16 GB. Verdicts leave ~10% headroom for activations and fragmentation.

PrecisionWeightsKV cacheTotal% of 16 GBFit
FP16 / BF16full quality34 GB0.8 GB34.8 GB217%No
INT8 (8-bit)near-full quality17 GB0.8 GB17.8 GB111%No
INT4 (4-bit)GPTQ / AWQ / GGUF Q48.5 GB0.8 GB9.3 GB58%Fits

Planning estimates, not a substitute for profiling. Real usage varies with the inference runtime, batch size, and how much context you actually use — the KV cache grows linearly with prompt length.

GPUs that run DeepSeek R1 Distill Qwen 14B

Cards where this model fits (at its best precision):

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Frequently asked questions

Can the Radeon RX 9070 XT run DeepSeek R1 Distill Qwen 14B?

Not in FP16, but yes at INT4 (4-bit), where it uses about 9.3 GB versus the card's 16 GB.

How much VRAM does DeepSeek R1 Distill Qwen 14B need?

Approximately 34 GB in FP16, 17 GB in INT8, and 8.5 GB in 4-bit for the weights, plus a KV cache of about 0.8 GB at 4,096 tokens.

Does quantization let DeepSeek R1 Distill Qwen 14B fit on the Radeon RX 9070 XT?

Yes. Dropping to INT4 (4-bit) brings total usage to about 9.3 GB, which fits the 16 GB card with headroom for the KV cache.

What happens to memory with longer context?

The KV cache grows linearly with prompt length. At 4,096 tokens it is about 0.8 GB here; doubling the context roughly doubles that term, so long-context use can push a tight fit over the edge.