Q: What quantization of DeepSeek Coder V2 Lite 16B should I use on a AMD Radeon RX 7600?

For 8 GB VRAM on the AMD Radeon RX 7600, the Q4_K_M variant is the best fit. Estimated ~9 tokens/sec on the Q4_K_M quantization.

Q: How fast does DeepSeek Coder V2 Lite 16B run on AMD Radeon RX 7600?

Roughly 9 tokens/sec for Q4_K_M. Real speed depends on context length, backend (Ollama, llama.cpp, LM Studio), and KV cache size.

Q: What if AMD Radeon RX 7600 is not enough for DeepSeek Coder V2 Lite 16B?

Consider upgrading to NVIDIA GeForce RTX 5080 (16 GB VRAM) which fits the recommended 16 GB target. Or pick a smaller quantization to stay on your current card.

Question 1

Can I run DeepSeek Coder V2 Lite 16B on a AMD Radeon RX 7600?

Accepted Answer

Sort of — AMD Radeon RX 7600 can run DeepSeek Coder V2 Lite 16B (Q4_K_M) only by spilling layers to RAM. Generation will be slow. CPU + GPU hybrid — not enough VRAM (8 GB < 11 GB min), but 64 GB RAM is sufficient. Expect significantly slower inference.

Question 2

What quantization of DeepSeek Coder V2 Lite 16B should I use on a AMD Radeon RX 7600?

Accepted Answer

For 8 GB VRAM on the AMD Radeon RX 7600, the Q4_K_M variant is the best fit. Estimated ~9 tokens/sec on the Q4_K_M quantization.

Question 3

How fast does DeepSeek Coder V2 Lite 16B run on AMD Radeon RX 7600?

Accepted Answer

Roughly 9 tokens/sec for Q4_K_M. Real speed depends on context length, backend (Ollama, llama.cpp, LM Studio), and KV cache size.

Question 4

What if AMD Radeon RX 7600 is not enough for DeepSeek Coder V2 Lite 16B?

Accepted Answer

Consider upgrading to NVIDIA GeForce RTX 5080 (16 GB VRAM) which fits the recommended 16 GB target. Or pick a smaller quantization to stay on your current card.

Can I Run DeepSeek Coder V2 Lite 16B on AMD Radeon RX 7600?

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Every DeepSeek Coder V2 Lite 16B quantization on AMD Radeon RX 7600

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