Mathstral 7B on NVIDIA GeForce RTX 4070 Ti SUPER

Can the NVIDIA GeForce RTX 4070 Ti SUPER run Mathstral 7B?

69 pts

Yes, it runs well

Runs well. At Q8_0 it needs about 10.2 GB of 16.0 GB usable, with an estimated speed of 57.9 tok/s.

Best quant: Q8_0
Generation speed: 57.9 tok/s
Prompt processing: 4,380 tok/s
First token (1K prompt): 0.3 s
Largest safe context: 32K

Download Mathstral 7B

Recommended for the NVIDIA GeForce RTX 4070 Ti 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 mathstral:7b-v0.1-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/bartowski/mathstral-7B-v0.1-GGUF (opens in a new tab)

ollama run hf.co/bartowski/mathstral-7B-v0.1-GGUF:Q8_0

Original weights · Hugging Face

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

huggingface.co/mistralai/Mathstral-7B-v0.1 (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.	15.3 / 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.	14.7 / 15
Total	70.0 / 100	69 ptsGood (B) · 69 of 100 points: Model quality 15.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.7/15

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`	5.4 GB	16.0 GB	187 tok/s	Runs well	58 ptsGood (B) · 58 of 100 points: Model quality 10.7/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 7.8/15	GGUF (opens in a new tab)
`Q3_K_M`	6.0 GB	16.0 GB	147 tok/s	Runs well	61 ptsGood (B) · 61 of 100 points: Model quality 12.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 8.7/15	GGUF (opens in a new tab)
`Q4_K_M`	6.9 GB	16.0 GB	114 tok/s	Runs well	64 ptsGood (B) · 64 of 100 points: Model quality 14.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 9.9/15	GGUF (opens in a new tab)
`Q5_K_M`	7.6 GB	16.0 GB	94.0 tok/s	Runs well	65 ptsGood (B) · 65 of 100 points: Model quality 14.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 11.0/15	GGUF (opens in a new tab)
`Q6_K`	8.4 GB	16.0 GB	78.9 tok/s	Runs well	67 ptsGood (B) · 67 of 100 points: Model quality 15.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 12.1/15	GGUF (opens in a new tab)
`Q8_0`	10.2 GB	16.0 GB	57.9 tok/s	Runs well	69 ptsGood (B) · 69 of 100 points: Model quality 15.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.7/15	GGUF (opens in a new tab)
`F16`	17.0 GB	16.0 GB	16.6 tok/s	Runs with offload	49 ptsUsable (C) · 49 of 100 points: Model quality 15.3/45, Memory fit 10.0/25, Speed 9.7/15, Memory use 15.0/15	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

70 ptsGood (B) · 70 of 100 points: Model quality 15.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 4090 F16 · 40.0 tok/s
70 ptsGood (B) · 70 of 100 points: Model quality 15.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 4070 SUPER Q8_0 · 43.4 tok/s
70 ptsGood (B) · 70 of 100 points: Model quality 15.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 Intel Arc B580 Q6_K · 40.9 tok/s
70 ptsGood (B) · 70 of 100 points: Model quality 15.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 3060 12GB Q6_K · 42.3 tok/s
69 ptsGood (B) · 69 of 100 points: Model quality 15.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.7/15 AMD Radeon RX 9070 XT Q8_0 · 47.5 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.