Can I run TwIL-8B on an RTX 3090?

Yes, just

Its published weights (17.6 GB) fit in the 21.6 GB an RTX 3090 can use, with room for ≈ 24K tokens of context.

Full analysis of TwIL-8B Everything that runs on RTX 3090 Get the weights on Hugging Face

hf download webAI-Official/TwIL-8B

Files and context on RTX 3090

Each file of TwIL-8B (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 3090	Context (16-bit)	Context (8-bit)
As published	17.6 GB	Tight	24K	48K
4-bit (estimate)	4.95 GB	Fits	99K	128K

TwIL-8B on other hardware

NVIDIA H100Yes
RTX 5090Yes
RTX 4090Yes, just
RTX 3090Yes, just
RTX 5060 Ti 16 GBProbably, at 4-bit
RTX 3060 12 GBProbably, at 4-bit
RTX 4060Probably, at 4-bit
Mac with 32 GBYes, just
Mac with 64 GBYes
Mac with 128 GBYes

Popular models that run on RTX 3090

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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.