Gemma 3 27B IT on NVIDIA GeForce RTX 4070 Ti SUPER

Can the NVIDIA GeForce RTX 4070 Ti SUPER run Gemma 3 27B IT?

81 pts

Yes, with little memory to spare

Tight fit. At Q3_K_M it needs about 15.6 GB of 16.0 GB usable, with an estimated speed of 38.9 tok/s.

Best quant: Q3_K_M
Generation speed: 38.9 tok/s
Prompt processing: 1,159 tok/s
First token (1K prompt): 0.9 s
Largest safe context: 11K

Download Gemma 3 27B IT

Quickest · Ollama

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

ollama run gemma3:27b

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.

huggingface.co/ggml-org/gemma-3-27b-it-GGUF (opens in a new tab)

ollama run hf.co/ggml-org/gemma-3-27b-it-GGUF

Original weights · Hugging Face

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

huggingface.co/google/gemma-3-27b-it (opens in a new tab)

Free Hugging Face account needed: request access on the model page, and Google approves it (usually within minutes to a few hours).

Official repo · GitHub

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

github.com/google-deepmind/gemma (opens in a new tab)

git clone https://github.com/google-deepmind/gemma

Google DeepMind’s official Gemma library.

Links checked 5 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.	27.2 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.	24.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	14.8 / 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	81.0 / 100	81 ptsGreat (A) · 81 of 100 points: Model quality 27.2/45, Memory fit 24.0/25, Speed 14.8/15, 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 4070 Ti SUPER

Quant	Memory needed	Available	Speed	Fit	Grade · points	Download
`Q2_K`	13.2 GB	16.0 GB	49.4 tok/s	Runs well	77 ptsGreat (A) · 77 of 100 points: Model quality 22.7/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15	GGUF files (opens in a new tab)
`Q3_K_M`	15.6 GB	16.0 GB	38.9 tok/s	Tight fit	81 ptsGreat (A) · 81 of 100 points: Model quality 27.2/45, Memory fit 24.0/25, Speed 14.8/15, Memory use 15.0/15	GGUF files (opens in a new tab)
`Q4_K_M`	18.9 GB	16.0 GB	11.6 tok/s	Runs with offload	63 ptsGood (B) · 63 of 100 points: Model quality 30.8/45, Memory fit 10.0/25, Speed 8.1/15, Memory use 15.0/15	GGUF (opens in a new tab)
`Q5_K_M`	21.7 GB	16.0 GB	6.8 tok/s	Runs with offload	62 ptsGood (B) · 62 of 100 points: Model quality 31.4/45, Memory fit 10.0/25, Speed 6.2/15, Memory use 15.0/15	GGUF files (opens in a new tab)
`Q6_K`	24.7 GB	16.0 GB	4.6 tok/s	Heavy offload	56 ptsUsable (C) · 56 of 100 points: Model quality 32.1/45, Memory fit 4.0/25, Speed 5.1/15, Memory use 15.0/15	GGUF files (opens in a new tab)
`Q8_0`	31.2 GB	16.0 GB	2.7 tok/s	Heavy offload	55 ptsUsable (C) · 55 of 100 points: Model quality 32.4/45, Memory fit 4.0/25, Speed 3.9/15, Memory use 15.0/15	GGUF (opens in a new tab)
`F16`	57.0 GB	16.0 GB	—	Won't run	9 ptsWon't run (F) · 9 of 100 points: Model quality 9.7/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF · part 1 of 2 (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

87 ptsExcellent (S) · 87 of 100 points: Model quality 32.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 5090 Q6_K · 55.7 tok/s
85 ptsExcellent (S) · 85 of 100 points: Model quality 30.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 3090 Q4_K_M · 41.9 tok/s
85 ptsExcellent (S) · 85 of 100 points: Model quality 30.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 4090 Q4_K_M · 45.2 tok/s
85 ptsExcellent (S) · 85 of 100 points: Model quality 30.8/45, Memory fit 25.0/25, Speed 14.4/15, Memory use 15.0/15 AMD Radeon RX 7900 XTX Q4_K_M · 37.0 tok/s
81 ptsGreat (A) · 81 of 100 points: Model quality 27.2/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 4080 SUPER Q3_K_M · 42.6 tok/s
81 ptsGreat (A) · 81 of 100 points: Model quality 27.2/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 5070 Ti Q3_K_M · 51.9 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.