LLMs ·

TMax 27B

Parameters
27B
Architecture
Dense
Max context
256K tokens
License
apache-2.0
Released
2026-06

How to run it

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.

Memory needed

Weights plus KV cache and runtime overhead. Leave a little extra free for the operating system and other apps.

KV cache: hybrid: only the full-attention layers (1 in 4) keep a KV cache; the rest use linear attention.

Quantization Quality Weights Total at 8K context Total at 32K context Download
Q2_K Low 10.9 GB 12.1 GB 13.7 GB All files (opens in a new tab)
Q3_K_M Low 13.4 GB 14.5 GB 16.2 GB All files (opens in a new tab)
Q4_K_M Good 16.7 GB 17.8 GB 19.4 GB All files (opens in a new tab)
Q5_K_M High 19.4 GB 20.6 GB 22.2 GB All files (opens in a new tab)
Q6_K High 22.4 GB 23.6 GB 25.2 GB All files (opens in a new tab)
Q8_0 Very high 29.0 GB 30.1 GB 31.7 GB All files (opens in a new tab)
F16 Full 54.7 GB 55.9 GB 57.5 GB Original weights (opens in a new tab)

Best hardware for TMax 27B

The least expensive GPU in our catalog that runs it without offloading is the AMD Radeon RX 7600 XT (launch price $329) at Q3_K_M.

Grade · points Hardware Quant Memory Speed Fit
95 ptsExcellent (S) · 95 of 100 points: Model quality 40.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 5090 Q6_K 25.2 GB / 32.0 GB 55.8 tok/s Runs well
93 ptsExcellent (S) · 93 of 100 points: Model quality 38.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 3090 Q4_K_M 19.0 GB / 24.0 GB 42.0 tok/s Runs well
93 ptsExcellent (S) · 93 of 100 points: Model quality 38.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 4090 Q4_K_M 19.0 GB / 24.0 GB 45.2 tok/s Runs well
92 ptsExcellent (S) · 92 of 100 points: Model quality 38.5/45, Memory fit 25.0/25, Speed 14.4/15, Memory use 15.0/15 AMD Radeon RX 7900 XTX Q4_K_M 19.0 GB / 24.0 GB 37.1 tok/s Runs well
88 ptsExcellent (S) · 88 of 100 points: Model quality 40.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 8.4/15 NVIDIA RTX PRO 6000 Blackwell Q8_0 34.9 GB / 96.0 GB 40.9 tok/s Runs well
88 ptsExcellent (S) · 88 of 100 points: Model quality 34.0/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 4080 SUPER Q3_K_M 15.3 GB / 16.0 GB 42.7 tok/s Tight fit
88 ptsExcellent (S) · 88 of 100 points: Model quality 34.0/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 5070 Ti Q3_K_M 15.3 GB / 16.0 GB 52.0 tok/s Tight fit
88 ptsExcellent (S) · 88 of 100 points: Model quality 34.0/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 5080 Q3_K_M 15.3 GB / 16.0 GB 55.7 tok/s Tight fit
87 ptsExcellent (S) · 87 of 100 points: Model quality 34.0/45, Memory fit 24.0/25, Speed 14.8/15, Memory use 15.0/15 NVIDIA GeForce RTX 4070 Ti SUPER Q3_K_M 15.3 GB / 16.0 GB 39.0 tok/s Tight fit
86 ptsExcellent (S) · 86 of 100 points: Model quality 40.1/45, Memory fit 25.0/25, Speed 6.4/15, Memory use 15.0/15 Apple M4 Pro (48 GB) Q6_K 26.5 GB / 36.0 GB 7.3 tok/s Runs well

Check it on your own hardware

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.