LFM2.5 8B-A1B on NVIDIA GeForce RTX 5060 Ti 8GB

Can the NVIDIA GeForce RTX 5060 Ti 8GB run LFM2.5 8B-A1B?

77 pts

Yes, it runs well

Runs well. At Q4_K_M it needs about 6.3 GB of 8.0 GB usable, with an estimated speed of 183 tok/s.

Best quant: Q4_K_M
Generation speed: 183 tok/s
Prompt processing: 11,376 tok/s
First token (1K prompt): 0.3 s
Largest safe context: 125K

Download LFM2.5 8B-A1B

Recommended for the NVIDIA GeForce RTX 5060 Ti 8GB: Q4_K_M. Every other quantization has its own download link in the table below.

Quickest · Ollama

One command downloads a ready-to-run version and starts a chat.

ollama run lfm2.5:8b-a1b-q4_K_M

Get Ollama at ollama.com/download (opens in a new tab) · model page (opens in a new tab)

Quantized files · GGUF

Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.

Download the Q4_K_M file (opens in a new tab)

huggingface.co/LiquidAI/LFM2.5-8B-A1B-GGUF (opens in a new tab)

ollama run hf.co/LiquidAI/LFM2.5-8B-A1B-GGUF:Q4_K_M

Original weights · Hugging Face

Full-precision files from Liquid AI, for fine-tuning, vLLM, Transformers.

huggingface.co/LiquidAI/LFM2.5-8B-A1B (opens in a new tab)

No sign-in needed.

Official repo · GitHub

Reference code, inference scripts and docs from Liquid AI. The weights themselves download from Hugging Face.

github.com/Liquid4All/cookbook (opens in a new tab)

git clone https://github.com/Liquid4All/cookbook

Liquid AI’s official cookbook for running LFM models.

Links checked 7 days ago against Hugging Face, Ollama and GitHub.

How the A grade is scored

Every result gets up to 100 points from four parts. The points decide the letter grade.

Model qualityEditorial quality tier of the model, scaled by the quantization or precision used.	22.2 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.	25.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	15.0 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.	15.0 / 15
Total	77.2 / 100	77 ptsGreat (A) · 77 of 100 points: Model quality 22.2/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15

Grade scale: S 85+ · A 72+ · B 58+ · C 42+ · D 25+ · F under 25 points.

Every quantization on the NVIDIA GeForce RTX 5060 Ti 8GB

Quant	Memory needed	Available	Speed	Fit	Grade · points	Download
`Q2_K`	4.5 GB	8.0 GB	301 tok/s	Runs well	69 ptsGood (B) · 69 of 100 points: Model quality 16.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 12.9/15	GGUF files (opens in a new tab)
`Q3_K_M`	5.3 GB	8.0 GB	237 tok/s	Runs well	74 ptsGreat (A) · 74 of 100 points: Model quality 19.7/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15	GGUF files (opens in a new tab)
`Q4_K_M`	6.3 GB	8.0 GB	183 tok/s	Runs well	77 ptsGreat (A) · 77 of 100 points: Model quality 22.2/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15	GGUF (opens in a new tab)
`Q5_K_M`	7.1 GB	8.0 GB	151 tok/s	Tight fit	76 ptsGreat (A) · 76 of 100 points: Model quality 22.7/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15	GGUF (opens in a new tab)
`Q6_K`	8.0 GB	8.0 GB	123 tok/s	Runs with offload	63 ptsGood (B) · 63 of 100 points: Model quality 23.2/45, Memory fit 10.0/25, Speed 15.0/15, Memory use 15.0/15	GGUF (opens in a new tab)
`Q8_0`	10.1 GB	8.0 GB	40.1 tok/s	Runs with offload	63 ptsGood (B) · 63 of 100 points: Model quality 23.4/45, Memory fit 10.0/25, Speed 15.0/15, Memory use 15.0/15	GGUF (opens in a new tab)
`F16`	18.0 GB	8.0 GB	9.8 tok/s	Heavy offload	49 ptsUsable (C) · 49 of 100 points: Model quality 23.4/45, Memory fit 4.0/25, Speed 7.4/15, Memory use 15.0/15	GGUF (opens in a new tab) Original weights (opens in a new tab)

Memory figures assume 8K of context. Longer conversations or documents grow the KV cache.

Other hardware that runs it

78 ptsGreat (A) · 78 of 100 points: Model quality 23.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 AMD Radeon RX 7900 XTX F16 · 79.4 tok/s
78 ptsGreat (A) · 78 of 100 points: Model quality 23.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 AMD Radeon RX 9070 XT Q8_0 · 115 tok/s
78 ptsGreat (A) · 78 of 100 points: Model quality 23.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 Apple M4 Pro (24 GB) Q8_0 · 49.0 tok/s
78 ptsGreat (A) · 78 of 100 points: Model quality 23.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 3090 F16 · 89.9 tok/s
78 ptsGreat (A) · 78 of 100 points: Model quality 23.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 4090 F16 · 96.8 tok/s
78 ptsGreat (A) · 78 of 100 points: Model quality 23.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 4060 Ti 16GB Q8_0 · 60.0 tok/s

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.