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Can the NVIDIA RTX PRO 6000 Blackwell run LLaVA 1.6 34B?

67 ptsGood (B) · 67 of 100 points: Model quality 19.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 8.4/15

Yes, it runs well

Runs well. At Q6_K it needs about 34.9 GB of 96.0 GB usable, with an estimated speed of 43.9 tok/s.

Best quant
Q6_K
Generation speed
43.9 tok/s
Prompt processing
2,590 tok/s
First token (1K prompt)
0.4 s
Largest safe context
4K

Download LLaVA 1.6 34B

Recommended for the NVIDIA RTX PRO 6000 Blackwell: Q6_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 llava:34b-v1.6-q6_K

Get Ollama at ollama.com/download (opens in a new tab) · model page (opens in a new tab)

Original weights · Hugging Face

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

huggingface.co/llava-hf/llava-v1.6-34b-hf (opens in a new tab)

No sign-in needed.

Links checked 5 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.19.6 / 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.8.4 / 15
Total68.0 / 10067 ptsGood (B) · 67 of 100 points: Model quality 19.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 8.4/15

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

Every quantization on the NVIDIA RTX PRO 6000 Blackwell

Quant Memory needed Available Speed Fit Grade · points Download
Q2_K 20.3 GB 96.0 GB 104 tok/s Runs well 58 ptsGood (B) · 58 of 100 points: Model quality 13.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 4.9/15
Q3_K_M 23.4 GB 96.0 GB 81.8 tok/s Runs well 62 ptsGood (B) · 62 of 100 points: Model quality 16.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 5.6/15
Q4_K_M 27.6 GB 96.0 GB 63.3 tok/s Runs well 65 ptsGood (B) · 65 of 100 points: Model quality 18.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 6.6/15
Q5_K_M 31.1 GB 96.0 GB 52.3 tok/s Runs well 66 ptsGood (B) · 66 of 100 points: Model quality 19.2/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 7.5/15
Q6_K 34.9 GB 96.0 GB 43.9 tok/s Runs well 67 ptsGood (B) · 67 of 100 points: Model quality 19.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 8.4/15
Q8_0 43.2 GB 96.0 GB 32.2 tok/s Runs well 68 ptsGood (B) · 68 of 100 points: Model quality 19.8/45, Memory fit 25.0/25, Speed 13.5/15, Memory use 10.4/15
F16 75.9 GB 96.0 GB 14.9 tok/s Runs well 68 ptsGood (B) · 68 of 100 points: Model quality 19.8/45, Memory fit 25.0/25, Speed 9.1/15, Memory use 15.0/15 Original weights (opens in a new tab)

Memory figures assume 4K 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.