Zamba2 2.7B Instruct on NVIDIA GeForce RTX 5060 Ti 16GB

Can the NVIDIA GeForce RTX 5060 Ti 16GB run Zamba2 2.7B Instruct?

60 pts

Yes, it runs well

Runs well. At F16 it needs about 7.1 GB of 16.0 GB usable, with an estimated speed of 48.5 tok/s.

Best quant: F16
Generation speed: 48.5 tok/s
Prompt processing: 6,415 tok/s
First token (1K prompt): 0.3 s
Largest safe context: 4K

Download Zamba2 2.7B Instruct

Original weights · Hugging Face

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

huggingface.co/Zyphra/Zamba2-2.7B-instruct (opens in a new tab)

No sign-in needed.

Links checked 6 days ago against Hugging Face, Ollama and GitHub.

How the B 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.	9.9 / 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.	10.2 / 15
Total	60.1 / 100	60 ptsGood (B) · 60 of 100 points: Model quality 9.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 10.2/15

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 16GB

Quant	Memory needed	Available	Speed	Fit	Grade · points	Download
`Q2_K`	2.8 GB	16.0 GB	340 tok/s	Runs well	51 ptsUsable (C) · 51 of 100 points: Model quality 6.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 4.1/15	All files (opens in a new tab)
`Q3_K_M`	3.1 GB	16.0 GB	267 tok/s	Runs well	52 ptsUsable (C) · 52 of 100 points: Model quality 8.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 4.4/15	All files (opens in a new tab)
`Q4_K_M`	3.4 GB	16.0 GB	207 tok/s	Runs well	54 ptsUsable (C) · 54 of 100 points: Model quality 9.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 4.9/15	All files (opens in a new tab)
`Q5_K_M`	3.7 GB	16.0 GB	171 tok/s	Runs well	54 ptsUsable (C) · 54 of 100 points: Model quality 9.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 5.3/15	All files (opens in a new tab)
`Q6_K`	4.0 GB	16.0 GB	143 tok/s	Runs well	55 ptsUsable (C) · 55 of 100 points: Model quality 9.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 5.7/15	All files (opens in a new tab)
`Q8_0`	4.6 GB	16.0 GB	105 tok/s	Runs well	56 ptsUsable (C) · 56 of 100 points: Model quality 9.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 6.6/15	All files (opens in a new tab)
`F16`	7.1 GB	16.0 GB	48.5 tok/s	Runs well	60 ptsGood (B) · 60 of 100 points: Model quality 9.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 10.2/15	Original weights (opens in a new tab)

Memory figures assume 4K of context. Longer conversations or documents grow the KV cache.

Other hardware that runs it

63 ptsGood (B) · 63 of 100 points: Model quality 9.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 13.3/15 NVIDIA GeForce RTX 4070 SUPER F16 · 54.6 tok/s
62 ptsGood (B) · 62 of 100 points: Model quality 9.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 12.1/15 NVIDIA GeForce RTX 4060 Q8_0 · 63.9 tok/s
60 ptsGood (B) · 60 of 100 points: Model quality 9.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 10.2/15 AMD Radeon RX 9070 XT F16 · 59.7 tok/s
60 ptsGood (B) · 60 of 100 points: Model quality 9.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 10.2/15 NVIDIA GeForce RTX 4070 Ti SUPER F16 · 72.8 tok/s
60 ptsGood (B) · 60 of 100 points: Model quality 9.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 10.2/15 NVIDIA GeForce RTX 4080 SUPER F16 · 79.7 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.