All compatibility checks

Compatibility check

Can you run DeepSeek R1 Distill Qwen 7B on the Radeon RX 7900 XT?

Yes — runs in full precision

Yes. DeepSeek R1 Distill Qwen 7B fits on the Radeon RX 7900 XT (20 GB) in full FP16/BF16 precision, using about 17.7 GB including a 0.2 GB KV cache at 4,096 tokens. You have comfortable headroom for longer prompts and modest batching.

Memory breakdown

Weights plus a 0.2 GB KV cache at 4,096tokens, against the card's 20 GB. Verdicts leave ~10% headroom for activations and fragmentation.

PrecisionWeightsKV cacheTotal% of 20 GBFit
FP16 / BF16full quality17.5 GB0.2 GB17.7 GB89%Fits
INT8 (8-bit)near-full quality8.8 GB0.2 GB9 GB45%Fits
INT4 (4-bit)GPTQ / AWQ / GGUF Q44.4 GB0.2 GB4.6 GB23%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 7B

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

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Frequently asked questions

Can the Radeon RX 7900 XT run DeepSeek R1 Distill Qwen 7B?

Yes. In FP16 it uses about 17.7 GB, which fits the Radeon RX 7900 XT's 20 GB.

How much VRAM does DeepSeek R1 Distill Qwen 7B need?

Approximately 17.5 GB in FP16, 8.8 GB in INT8, and 4.4 GB in 4-bit for the weights, plus a KV cache of about 0.2 GB at 4,096 tokens.

Does quantization let DeepSeek R1 Distill Qwen 7B fit on the Radeon RX 7900 XT?

Yes. Dropping to FP16 / BF16 brings total usage to about 17.7 GB, which fits the 20 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 0.2 GB here; doubling the context roughly doubles that term, so long-context use can push a tight fit over the edge.