Kimi K2 Instruct (July 2025) on NVIDIA GeForce RTX 4070 SUPER

Can the NVIDIA GeForce RTX 4070 SUPER run Kimi K2 Instruct (July 2025)?

8 pts

No, it doesn’t fit

No. Kimi K2 Instruct (July 2025) needs about 412 GB even at Q2_K; the NVIDIA GeForce RTX 4070 SUPER has 12.0 GB usable.

Download Kimi K2 Instruct (July 2025)

Recommended: Q2_K. Every other quantization has its own download link in the table below.

Quantized files · GGUF

Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.

Download the Q2_K files (opens in a new tab)

huggingface.co/unsloth/Kimi-K2-Instruct-GGUF (opens in a new tab)

ollama run hf.co/unsloth/Kimi-K2-Instruct-GGUF

Original weights · Hugging Face

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

huggingface.co/moonshotai/Kimi-K2-Instruct (opens in a new tab)

No sign-in needed.

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.	8.4 / 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	8.4 / 100	8 ptsWon't run (F) · 8 of 100 points: Model quality 8.4/45, 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`	412 GB	12.0 GB	—	Won't run	8 ptsWon't run (F) · 8 of 100 points: Model quality 8.4/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF · folder (opens in a new tab)
`Q3_K_M`	505 GB	12.0 GB	—	Won't run	10 ptsWon't run (F) · 10 of 100 points: Model quality 10.1/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF · folder (opens in a new tab)
`Q4_K_M`	628 GB	12.0 GB	—	Won't run	11 ptsWon't run (F) · 11 of 100 points: Model quality 11.4/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF · folder (opens in a new tab)
`Q5_K_M`	731 GB	12.0 GB	—	Won't run	11 ptsWon't run (F) · 11 of 100 points: Model quality 11.7/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF · folder (opens in a new tab)
`Q6_K`	843 GB	12.0 GB	—	Won't run	11 ptsWon't run (F) · 11 of 100 points: Model quality 11.9/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF · folder (opens in a new tab)
`Q8_0`	1,090 GB	12.0 GB	—	Won't run	12 ptsWon't run (F) · 12 of 100 points: Model quality 12.0/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF · folder (opens in a new tab)
`F16`	2,055 GB	12.0 GB	—	Won't run	12 ptsWon't run (F) · 12 of 100 points: Model quality 12.0/45, 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

57 ptsUsable (C) · 57 of 100 points: Model quality 28.0/45, Memory fit 4.0/25, Speed 10.3/15, Memory use 15.0/15 Apple M3 Ultra (512 GB) Q2_K · 18.9 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.