Qwen3.5 4B on NVIDIA GeForce RTX 4070 SUPER

Can the NVIDIA GeForce RTX 4070 SUPER run Qwen3.5 4B?

80 pts

Yes, it runs well

Runs well. At Q8_0 it needs about 6.4 GB of 12.0 GB usable, with an estimated speed of 67.6 tok/s.

Best quant: Q8_0
Generation speed: 67.6 tok/s
Prompt processing: 5,485 tok/s
First token (1K prompt): 0.3 s
Largest safe context: 174K

Download Qwen3.5 4B

Recommended for the NVIDIA GeForce RTX 4070 SUPER: Q8_0. 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 qwen3.5:4b-q8_0

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 Q8_0 file (opens in a new tab)

huggingface.co/unsloth/Qwen3.5-4B-GGUF (opens in a new tab)

ollama run hf.co/unsloth/Qwen3.5-4B-GGUF:Q8_0

Original weights · Hugging Face

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

huggingface.co/Qwen/Qwen3.5-4B (opens in a new tab)

No sign-in needed.

Official repo · GitHub

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

github.com/QwenLM/Qwen3.8 (opens in a new tab)

git clone https://github.com/QwenLM/Qwen3.8

Qwen’s current repo: Qwen3.5 and Qwen3.6 redirect here.

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.	27.9 / 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.	12.3 / 15
Total	80.2 / 100	80 ptsGreat (A) · 80 of 100 points: Model quality 27.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 12.3/15

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

Every quantization on the NVIDIA GeForce RTX 4070 SUPER

Quant	Memory needed	Available	Speed	Fit	Grade · points	Download
`Q2_K`	3.3 GB	12.0 GB	218 tok/s	Runs well	65 ptsGood (B) · 65 of 100 points: Model quality 19.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 6.4/15	GGUF (UD-Q2_K_XL) (opens in a new tab)
`Q3_K_M`	3.8 GB	12.0 GB	172 tok/s	Runs well	70 ptsGood (B) · 70 of 100 points: Model quality 23.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 7.2/15	GGUF (opens in a new tab)
`Q4_K_M`	4.3 GB	12.0 GB	133 tok/s	Runs well	74 ptsGreat (A) · 74 of 100 points: Model quality 26.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 8.3/15	GGUF (opens in a new tab)
`Q5_K_M`	4.8 GB	12.0 GB	110 tok/s	Runs well	76 ptsGreat (A) · 76 of 100 points: Model quality 27.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 9.2/15	GGUF (opens in a new tab)
`Q6_K`	5.3 GB	12.0 GB	92.1 tok/s	Runs well	77 ptsGreat (A) · 77 of 100 points: Model quality 27.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 10.2/15	GGUF (opens in a new tab)
`Q8_0`	6.4 GB	12.0 GB	67.6 tok/s	Runs well	80 ptsGreat (A) · 80 of 100 points: Model quality 27.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 12.3/15	GGUF (opens in a new tab)
`F16`	10.8 GB	12.0 GB	31.1 tok/s	Tight fit	80 ptsGreat (A) · 80 of 100 points: Model quality 27.9/45, Memory fit 24.0/25, Speed 13.2/15, 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

82 ptsGreat (A) · 82 of 100 points: Model quality 27.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 4070 Ti SUPER F16 · 41.5 tok/s
82 ptsGreat (A) · 82 of 100 points: Model quality 27.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 4080 SUPER F16 · 45.5 tok/s
82 ptsGreat (A) · 82 of 100 points: Model quality 27.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 5070 Ti F16 · 55.4 tok/s
82 ptsGreat (A) · 82 of 100 points: Model quality 27.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 5080 F16 · 59.3 tok/s
82 ptsGreat (A) · 82 of 100 points: Model quality 27.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.7/15 NVIDIA GeForce RTX 4060 Q6_K · 49.7 tok/s
80 ptsGreat (A) · 80 of 100 points: Model quality 27.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 12.3/15 Intel Arc B580 Q8_0 · 46.7 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.