Can I run Clover-35B-A3B-Preview-GGUF on an RTX 6000 Ada?

Yes, just

Its Q8_0 file (37.9 GB) fits in the 43.2 GB an RTX 6000 Ada can use, with room for ≈ 128K tokens of context.

Full analysis of Clover-35B-A3B-Preview-GGUF Everything that runs on RTX 6000 Ada Get the Q8_0 file on Hugging Face

ollama run hf.co/Diffuspace/Clover-35B-A3B-Preview-GGUF:Q8_0

Files and context on RTX 6000 Ada

Each file of Clover-35B-A3B-Preview-GGUF (and of GGUF versions the site has analyzed), and how much context fits next to it, with the context cache in 16-bit or 8-bit.

File	Size	On RTX 6000 Ada	Context (16-bit)	Context (8-bit)
Q8_0	37.9 GB	Tight	128K	128K
Q4_K_M	23.0 GB	Fits	128K	128K
Q4_0	19.6 GB	Fits	128K	128K

Clover-35B-A3B-Preview-GGUF on other hardware

NVIDIA H100Yes
RTX 5090Yes
RTX 4090Yes, just
RTX 3090Yes, just
RTX 5060 Ti 16 GBNo
RTX 3060 12 GBNo
RTX 4060No
RTX 6000 AdaYes, just
Mac with 32 GBYes, just
Mac with 64 GBYes
Mac with 128 GBYes

Popular models that run on RTX 6000 Ada

Qwen3-0.6BQwen · 752M
Qwen3-VL-8B-InstructQwen · 8.77B
gpt2openai-community · 137M
Qwen3-8BQwen · 8.19B
Qwen3-Coder-30B-A3B-Instruct-GGUFunsloth · 30.5B
Qwen2.5-7B-InstructQwen · 7.62B
Qwen3.5-9BQwen · 9.65B
Qwen2.5-0.5B-InstructQwen · 494M

Assumes 90% of the card's memory is usable and at least 4K tokens of context for one conversation, with the context cache in 16-bit unless noted. Fits leaves at least 20% of that memory for context; Tight leaves less.