on

Can the NVIDIA GeForce RTX 5090 run TMax 9B?

87 ptsExcellent (S) · 87 of 100 points: Model quality 33.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.7/15

Yes, it runs well

Runs well. At F16 it needs about 20.4 GB of 32.0 GB usable, with an estimated speed of 57.7 tok/s.

Best quant
F16
Generation speed
57.7 tok/s
Prompt processing
8,431 tok/s
First token (1K prompt)
0.3 s
Largest safe context
256K

Download TMax 9B

Original weights · Hugging Face

Full-precision files from Ai2, for fine-tuning, vLLM, Transformers.

huggingface.co/allenai/tmax-9b (opens in a new tab)

No sign-in needed.

How the S 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.33.3 / 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
Total88.0 / 10087 ptsExcellent (S) · 87 of 100 points: Model quality 33.3/45, 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 5090

Quant Memory needed Available Speed Fit Grade · points Download
Q2_K 6.0 GB 32.0 GB 404 tok/s Runs well 67 ptsGood (B) · 67 of 100 points: Model quality 23.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 4.4/15 All files (opens in a new tab)
Q3_K_M 6.9 GB 32.0 GB 318 tok/s Runs well 72 ptsGreat (A) · 72 of 100 points: Model quality 28.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 4.9/15 All files (opens in a new tab)
Q4_K_M 7.9 GB 32.0 GB 246 tok/s Runs well 77 ptsGreat (A) · 77 of 100 points: Model quality 31.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 5.7/15 All files (opens in a new tab)
Q5_K_M 8.8 GB 32.0 GB 203 tok/s Runs well 78 ptsGreat (A) · 78 of 100 points: Model quality 32.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 6.4/15 All files (opens in a new tab)
Q6_K 9.8 GB 32.0 GB 171 tok/s Runs well 80 ptsGreat (A) · 80 of 100 points: Model quality 33.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 7.1/15 All files (opens in a new tab)
Q8_0 12.0 GB 32.0 GB 125 tok/s Runs well 81 ptsGreat (A) · 81 of 100 points: Model quality 33.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 8.6/15 All files (opens in a new tab)
F16 20.4 GB 32.0 GB 57.7 tok/s Runs well 87 ptsExcellent (S) · 87 of 100 points: Model quality 33.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.7/15 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

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.