LLMs · Tencent

UI-Mate 27B

Name: UI-Mate 27B
Author: Tencent

Parameters: 27B
Architecture: Dense
Max context: 256K tokens
License: apache-2.0
Released: 2026-08

How to run it

Quantized files · GGUF

Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.

huggingface.co/bartowski/tencent_UI-Mate-27B-GGUF (opens in a new tab)

ollama run hf.co/bartowski/tencent_UI-Mate-27B-GGUF

Original weights · Hugging Face

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

huggingface.co/tencent/UI-Mate-27B (opens in a new tab)

No sign-in needed.

Links checked 5 days ago against Hugging Face, Ollama and GitHub.

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	GGUF (opens in a new tab)
`Q3_K_M`	Low	13.4 GB	14.5 GB	16.2 GB	GGUF (opens in a new tab)
`Q4_K_M`	Good	16.7 GB	17.8 GB	19.4 GB	GGUF (opens in a new tab)
`Q5_K_M`	High	19.4 GB	20.6 GB	22.2 GB	GGUF (opens in a new tab)
`Q6_K`	High	22.4 GB	23.6 GB	25.2 GB	GGUF (opens in a new tab)
`Q8_0`	Very high	29.0 GB	30.1 GB	31.7 GB	GGUF (opens in a new tab)
`F16`	Full	54.7 GB	55.9 GB	57.5 GB	GGUF · folder (opens in a new tab) Original weights (opens in a new tab)

Best hardware for UI-Mate 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
93 ptsExcellent (S) · 93 of 100 points: Model quality 38.3/45, 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
91 ptsExcellent (S) · 91 of 100 points: Model quality 36.8/45, 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
91 ptsExcellent (S) · 91 of 100 points: Model quality 36.8/45, 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
91 ptsExcellent (S) · 91 of 100 points: Model quality 36.8/45, 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
87 ptsExcellent (S) · 87 of 100 points: Model quality 38.7/45, 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
86 ptsExcellent (S) · 86 of 100 points: Model quality 32.5/45, 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
86 ptsExcellent (S) · 86 of 100 points: Model quality 32.5/45, 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
86 ptsExcellent (S) · 86 of 100 points: Model quality 32.5/45, 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
86 ptsExcellent (S) · 86 of 100 points: Model quality 32.5/45, 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
84 ptsGreat (A) · 84 of 100 points: Model quality 32.5/45, Memory fit 24.0/25, Speed 13.4/15, Memory use 15.0/15	AMD Radeon RX 9070 XT	`Q3_K_M`	15.3 GB / 16.0 GB	32.0 tok/s	Tight fit

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.