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Can the NVIDIA GeForce RTX 4070 SUPER run DeepSeek R1 Distill Llama 70B?

45 ptsUsable (C) · 45 of 100 points: Model quality 22.7/45, Memory fit 4.0/25, Speed 3.8/15, Memory use 15.0/15

Barely: most of the model spills into system RAM

Heavy offload. At Q2_K it needs about 32.1 GB of 12.0 GB usable, with an estimated speed of 2.5 tok/s.

Best quant
Q2_K
Generation speed
2.5 tok/s
Prompt processing
182 tok/s
First token (1K prompt)
5.6 s
Largest safe context
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Download DeepSeek R1 Distill Llama 70B

Recommended for the NVIDIA GeForce RTX 4070 SUPER: 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 deepseek-r1:70b

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/unsloth/DeepSeek-R1-Distill-Llama-70B-GGUF (opens in a new tab)

ollama run hf.co/unsloth/DeepSeek-R1-Distill-Llama-70B-GGUF:Q2_K

Original weights · Hugging Face

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

huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-70B (opens in a new tab)

No sign-in needed.

Official repo · GitHub

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

github.com/deepseek-ai/DeepSeek-R1 (opens in a new tab)

git clone https://github.com/deepseek-ai/DeepSeek-R1

The R1 repo covers the distilled models too.

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

How the C 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.22.7 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.4.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.3.8 / 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
Total45.5 / 10045 ptsUsable (C) · 45 of 100 points: Model quality 22.7/45, Memory fit 4.0/25, Speed 3.8/15, 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 SUPER

Quant Memory needed Available Speed Fit Grade · points Download
Q2_K 32.1 GB 12.0 GB 2.5 tok/s Heavy offload 45 ptsUsable (C) · 45 of 100 points: Model quality 22.7/45, Memory fit 4.0/25, Speed 3.8/15, Memory use 15.0/15 GGUF (opens in a new tab)
Q3_K_M 38.5 GB 12.0 GB — Won't run 8 ptsWon't run (F) · 8 of 100 points: Model quality 8.2/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF (opens in a new tab)
Q4_K_M 46.9 GB 12.0 GB — Won't run 9 ptsWon't run (F) · 9 of 100 points: Model quality 9.2/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF (opens in a new tab)
Q5_K_M 54.0 GB 12.0 GB — Won't run 9 ptsWon't run (F) · 9 of 100 points: Model quality 9.4/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF (opens in a new tab)
Q6_K 61.7 GB 12.0 GB — Won't run 9 ptsWon't run (F) · 9 of 100 points: Model quality 9.6/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF · folder (opens in a new tab)
Q8_0 78.7 GB 12.0 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 · folder (opens in a new tab)
F16 145 GB 12.0 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 · 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.

Other hardware that runs it

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.