Model Anatomy See what's inside open-weight AI models

Can I run LFM3-1.7B-Uncensored-GGUF on an RTX 5070 Ti?

Yes

Its Q6_K file (1.59 GB) fits in the 14.4 GB an RTX 5070 Ti can use, with room for ≈ 256K tokens of context.

Full analysis of LFM3-1.7B-Uncensored-GGUF Everything that runs on RTX 5070 Ti Get the Q6_K file on Hugging Face
ollama run hf.co/AtomicChat/LFM3-1.7B-Uncensored-GGUF:Q6_K

Files and context on RTX 5070 Ti

Each file of LFM3-1.7B-Uncensored-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.

FileSizeOn RTX 5070 Ti Context (16-bit)Context (8-bit)
Q6_K1.59 GBFits256K256K
Q4_K_M1.13 GBFits256K256K

LFM3-1.7B-Uncensored-GGUF on other hardware

Popular models that run on RTX 5070 Ti

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.