Can I run Holo4-27B on an RTX 6000 Ada?

Yes, with a GGUF version

The published weights are too big, but the Q4_K_M file from Hcompany/Holo4-27B-GGUF (16.9 GB) fits, with room for ≈ 256K tokens of context.

Full analysis of Holo4-27B Everything that runs on RTX 6000 Ada Get the Q4_K_M file on Hugging Face

ollama run hf.co/Hcompany/Holo4-27B-GGUF:Q4_K_M

Files and context on RTX 6000 Ada

Each file of Holo4-27B (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)
As published	54.7 GB	Doesn't fit	—	—
Q4_K_MHcompany/Holo4-27B-GGUF	16.9 GB	Fits	256K	256K

Holo4-27B on other hardware

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

Popular models that run on RTX 6000 Ada

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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.