Can I run Qwen3.5-0.8B-weight-space-programming on an RTX 5070 Ti?

Yes

Its published weights (1.75 GB) fit in the 14.4 GB an RTX 5070 Ti can use, with room for ≈ 256K tokens of context.

Full analysis of Qwen3.5-0.8B-weight-space-programming Everything that runs on RTX 5070 Ti Get the weights on Hugging Face

hf download ML-Intern-lab/Qwen3.5-0.8B-weight-space-programming

Files and context on RTX 5070 Ti

Each file of Qwen3.5-0.8B-weight-space-programming (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 5070 Ti	Context (16-bit)	Context (8-bit)
As published	1.75 GB	Fits	256K	256K
4-bit (estimate)	491 MB	Fits	256K	256K

Qwen3.5-0.8B-weight-space-programming on other hardware

NVIDIA H100Yes
RTX 5090Yes
RTX 4090Yes
RTX 3090Yes
RTX 5070 TiYes
RTX 5060 Ti 16 GBYes
RTX 3060 12 GBYes
RTX 4060Yes
Mac with 32 GBYes
Mac with 64 GBYes
Mac with 128 GBYes

Popular models that run on RTX 5070 Ti

Qwen3-0.6BQwen · 752M
gpt2openai-community · 137M
Qwen3-Coder-30B-A3B-Instruct-GGUFunsloth · 30.5B
Qwen2.5-0.5B-InstructQwen · 494M
Qwen2.5-1.5B-InstructQwen · 1.54B
Qwen3-4BQwen · 4.02B
Qwen3.5-4BQwen · 4.66B
gpt-oss-20bopenai · 20.9B

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.