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Can the NVIDIA RTX A5500 run TMax 27B?

92 ptsExcellent (S) · 92 of 100 points: Model quality 38.5/45, Memory fit 25.0/25, Speed 13.9/15, Memory use 15.0/15

Yes, it runs well

Runs well. At Q4_K_M it needs about 19.0 GB of 24.0 GB usable, with an estimated speed of 34.5 tok/s.

Best quant
Q4_K_M
Generation speed
34.5 tok/s
Prompt processing
897 tok/s
First token (1K prompt)
1.1 s
Largest safe context
82K

Download TMax 27B

Original weights · Hugging Face

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

huggingface.co/allenai/tmax-27b (opens in a new tab)

No sign-in needed.

Links checked 6 days ago against Hugging Face, Ollama and GitHub.

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.38.5 / 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.13.9 / 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
Total92.4 / 10092 ptsExcellent (S) · 92 of 100 points: Model quality 38.5/45, Memory fit 25.0/25, Speed 13.9/15, 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 RTX A5500

Quant Memory needed Available Speed Fit Grade · points Download
Q2_K 13.3 GB 24.0 GB 56.6 tok/s Runs well 81 ptsGreat (A) · 81 of 100 points: Model quality 28.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 12.8/15 All files (opens in a new tab)
Q3_K_M 15.7 GB 24.0 GB 44.5 tok/s Runs well 89 ptsExcellent (S) · 89 of 100 points: Model quality 34.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 All files (opens in a new tab)
Q4_K_M 19.0 GB 24.0 GB 34.5 tok/s Runs well 92 ptsExcellent (S) · 92 of 100 points: Model quality 38.5/45, Memory fit 25.0/25, Speed 13.9/15, Memory use 15.0/15 All files (opens in a new tab)
Q5_K_M 21.8 GB 24.0 GB 28.5 tok/s Tight fit 90 ptsExcellent (S) · 90 of 100 points: Model quality 39.3/45, Memory fit 24.0/25, Speed 12.7/15, Memory use 15.0/15 All files (opens in a new tab)
Q6_K 24.8 GB 24.0 GB 17.6 tok/s Runs with offload 75 ptsGreat (A) · 75 of 100 points: Model quality 40.1/45, Memory fit 10.0/25, Speed 9.9/15, Memory use 15.0/15 All files (opens in a new tab)
Q8_0 31.3 GB 24.0 GB 4.8 tok/s Runs with offload 70 ptsGood (B) · 70 of 100 points: Model quality 40.5/45, Memory fit 10.0/25, Speed 5.2/15, Memory use 15.0/15 All files (opens in a new tab)
F16 57.1 GB 24.0 GB — Won't run 12 ptsWon't run (F) · 12 of 100 points: Model quality 12.2/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 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

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.