Question 1

Can I run DeepSeek R1 Distill Llama 8B on a NVIDIA GeForce GTX 1070?

Accepted Answer

Yes — NVIDIA GeForce GTX 1070 runs DeepSeek R1 Distill Llama 8B fully on GPU at the Q4_K_M quantization. Full GPU inference — 8 GB VRAM meets the 8 GB recommendation.

Question 2

What quantization of DeepSeek R1 Distill Llama 8B should I use on a NVIDIA GeForce GTX 1070?

Accepted Answer

For 8 GB VRAM on the NVIDIA GeForce GTX 1070, the Q4_K_M variant is the best fit. Estimated ~41.8 tokens/sec on the Q4_K_M quantization.

Question 3

How fast does DeepSeek R1 Distill Llama 8B run on NVIDIA GeForce GTX 1070?

Accepted Answer

Roughly 41.8 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 NVIDIA GeForce GTX 1070 is not enough for DeepSeek R1 Distill Llama 8B?

Accepted Answer

Try a smaller quantization variant or run on CPU + RAM with the trade-off of slower generation.

Quantization	File Size	Min VRAM	Rec VRAM	Context	Verdict	Estimated tok/s
Q4_K_MBest fit	4.9 GB	5.5 GB	8 GB	8K / 128K	Full GPU	~41.8
Q8_0	8.5 GB	9.5 GB	12 GB	8K / 128K	Hybrid CPU+GPU	~10

Can I Run DeepSeek R1 Distill Llama 8B on NVIDIA GeForce GTX 1070?

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Every DeepSeek R1 Distill Llama 8B quantization on NVIDIA GeForce GTX 1070