Aya 23 35B on NVIDIA GeForce RTX 4070 SUPER

Can the NVIDIA GeForce RTX 4070 SUPER run Aya 23 35B?

4 pts

No, it doesn’t fit

No. Aya 23 35B needs about 25.9 GB even at Q2_K; the NVIDIA GeForce RTX 4070 SUPER has 12.0 GB usable.

Download Aya 23 35B

Recommended: Q2_K. 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 aya:35b-23-q2_K

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 Q2_K file (opens in a new tab)

huggingface.co/bartowski/aya-23-35B-GGUF (opens in a new tab)

ollama run hf.co/bartowski/aya-23-35B-GGUF:Q2_K

Original weights · Hugging Face

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

huggingface.co/CohereLabs/aya-23-35B (opens in a new tab)

Free Hugging Face account needed: accept the license on the model page and the download starts right away.

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

How the F 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.	4.7 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.	0.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	0.0 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.	0.0 / 15
Total	4.7 / 100	4 ptsWon't run (F) · 4 of 100 points: Model quality 4.7/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15

It doesn’t fit, so only a reduced share of the quality points counts and fit, speed and memory use score zero.

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

Every quantization on the NVIDIA GeForce RTX 4070 SUPER

Quant	Memory needed	Available	Speed	Fit	Grade · points	Download
`Q2_K`	25.9 GB	12.0 GB	—	Won't run	4 ptsWon't run (F) · 4 of 100 points: Model quality 4.7/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF (opens in a new tab)
`Q3_K_M`	29.1 GB	12.0 GB	—	Won't run	5 ptsWon't run (F) · 5 of 100 points: Model quality 5.7/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF (opens in a new tab)
`Q4_K_M`	33.3 GB	12.0 GB	—	Won't run	6 ptsWon't run (F) · 6 of 100 points: Model quality 6.4/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF (opens in a new tab)
`Q5_K_M`	36.8 GB	12.0 GB	—	Won't run	6 ptsWon't run (F) · 6 of 100 points: Model quality 6.5/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF (opens in a new tab)
`Q6_K`	40.6 GB	12.0 GB	—	Won't run	6 ptsWon't run (F) · 6 of 100 points: Model quality 6.7/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF (opens in a new tab)
`Q8_0`	49.0 GB	12.0 GB	—	Won't run	6 ptsWon't run (F) · 6 of 100 points: Model quality 6.8/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF (opens in a new tab)
`F16`	81.9 GB	12.0 GB	—	Won't run	6 ptsWon't run (F) · 6 of 100 points: Model quality 6.8/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF · folder (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.

Hardware that can run it

73 ptsGreat (A) · 73 of 100 points: Model quality 22.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 10.8/15 NVIDIA RTX PRO 6000 Blackwell Q6_K · 43.6 tok/s
72 ptsGreat (A) · 72 of 100 points: Model quality 18.9/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 5090 Q3_K_M · 81.3 tok/s
71 ptsGood (B) · 71 of 100 points: Model quality 21.4/45, Memory fit 25.0/25, Speed 9.6/15, Memory use 15.0/15 Apple M4 Max (64 GB) Q4_K_M · 16.5 tok/s
69 ptsGood (B) · 69 of 100 points: Model quality 21.4/45, Memory fit 25.0/25, Speed 8.2/15, Memory use 15.0/15 Apple M1 Max (64 GB) Q4_K_M · 12.1 tok/s
67 ptsGood (B) · 67 of 100 points: Model quality 21.4/45, Memory fit 24.0/25, Speed 6.8/15, Memory use 15.0/15 Apple M4 Pro (48 GB) Q4_K_M · 8.2 tok/s
65 ptsGood (B) · 65 of 100 points: Model quality 21.4/45, Memory fit 25.0/25, Speed 9.6/15, Memory use 9.7/15 Apple M4 Max (128 GB) Q4_K_M · 16.5 tok/s

Models that do run on the NVIDIA GeForce RTX 4070 SUPER

90 ptsExcellent (S) · 90 of 100 points: Model quality 35.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 Gemma 4 12B Q4_K_M · 51.7 tok/s
89 ptsExcellent (S) · 89 of 100 points: Model quality 34.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 Ornith 1.5 9B Q6_K · 44.5 tok/s
88 ptsExcellent (S) · 88 of 100 points: Model quality 33.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 Qwen3.5 9B Q6_K · 44.5 tok/s
88 ptsExcellent (S) · 88 of 100 points: Model quality 33.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 Ornith 1.0 9B Q6_K · 44.5 tok/s
87 ptsExcellent (S) · 87 of 100 points: Model quality 33.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 TMax 9B Q6_K · 48.0 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.