Can I run LFM2.5-24B-A2B-MLX-4bit on an RTX 5060 Ti 16 GB?

Yes, just

Its published weights (13.6 GB) fit in the 14.4 GB an RTX 5060 Ti 16 GB can use, with room for ≈ 40K tokens of context.

Full analysis of LFM2.5-24B-A2B-MLX-4bit Everything that runs on RTX 5060 Ti 16 GB Get the weights on Hugging Face

hf download LiquidAI/LFM2.5-24B-A2B-MLX-4bit

Files and context on RTX 5060 Ti 16 GB

Each file of LFM2.5-24B-A2B-MLX-4bit (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 5060 Ti 16 GB	Context (16-bit)	Context (8-bit)
As published	13.6 GB	Tight	40K	79K

LFM2.5-24B-A2B-MLX-4bit on other hardware

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

Popular models that run on RTX 5060 Ti 16 GB

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.