Q: What quantization of Hermes 3 Llama 3.1 8B should I use on a NVIDIA GeForce GTX 1050 Ti?

For 4 GB VRAM on the NVIDIA GeForce GTX 1050 Ti, the Q4_K_M variant is the best fit. Estimated ~8 tokens/sec on the Q4_K_M quantization.

Q: How fast does Hermes 3 Llama 3.1 8B run on NVIDIA GeForce GTX 1050 Ti?

Roughly 8 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 NVIDIA GeForce GTX 1050 Ti is not enough for Hermes 3 Llama 3.1 8B?

Consider upgrading to NVIDIA GeForce RTX 4060 Ti 8GB (8 GB VRAM) which fits the recommended 8 GB target. Or pick a smaller quantization to stay on your current card.

Question 1

Can I run Hermes 3 Llama 3.1 8B on a NVIDIA GeForce GTX 1050 Ti?

Accepted Answer

Sort of — NVIDIA GeForce GTX 1050 Ti can run Hermes 3 Llama 3.1 8B (Q4_K_M) only by spilling layers to RAM. Generation will be slow. CPU + GPU hybrid — not enough VRAM (4 GB < 5.5 GB min), but 64 GB RAM is sufficient. Expect significantly slower inference.

Question 2

What quantization of Hermes 3 Llama 3.1 8B should I use on a NVIDIA GeForce GTX 1050 Ti?

Accepted Answer

For 4 GB VRAM on the NVIDIA GeForce GTX 1050 Ti, the Q4_K_M variant is the best fit. Estimated ~8 tokens/sec on the Q4_K_M quantization.

Question 3

How fast does Hermes 3 Llama 3.1 8B run on NVIDIA GeForce GTX 1050 Ti?

Accepted Answer

Roughly 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 1050 Ti is not enough for Hermes 3 Llama 3.1 8B?

Accepted Answer

Consider upgrading to NVIDIA GeForce RTX 4060 Ti 8GB (8 GB VRAM) which fits the recommended 8 GB target. Or pick a smaller quantization to stay on your current card.

Can I Run Hermes 3 Llama 3.1 8B on NVIDIA GeForce GTX 1050 Ti?

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Every Hermes 3 Llama 3.1 8B quantization on NVIDIA GeForce GTX 1050 Ti

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