readygpu

AREX 2

27.4B parameters · 256k context · Apache License 2.0 · released 2026-09-29

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In short

AREX 2 is an open model from BAAI with 27.4B parameters. At Q4_K_M, AREX 2 needs about 17 GB of memory at 8k context and 21 GB at 64k, counting the weights, the KV cache and runtime buffers. The cheapest hardware in the UK that runs AREX 2 fully in memory at 64k context is the NVIDIA GeForce RTX 3090, £1,330 at Amazon, at about 27 tok/s (estimated).

Updated . Speeds are estimates; how they are worked out.

Cheapest way to run it in the UK today

AMD Radeon RX 7900 XTX, used at eBay

Runs AREX 2 at Q4_K_M fully in memory at 64k context, about 24 tok/sest.

£1,031

In stock, checked

What to run it on in the UK

Fully in memory at 64k context, priced at retailers today.

All hardware that runs it

Everything we price, best value first. Two cards split the model by layers.

HardwareQuantFitsDecodePricetok/s per 1,000
NVIDIA Tesla P40Q4_K_Mfits10 tok/s£69614.2
NVIDIA GeForce RTX 3090Q4_K_Mfits27 tok/s£1,33020.2
AMD Radeon RX 7900 XTXQ4_K_Mfits24 tok/s£1,39917.4
Intel Arc Pro B70Q6_Kfits11 tok/s£1,4227.6
AMD Radeon AI PRO R9700Q6_Kfits13 tok/s£1,6107.8
Mac mini M4 32GBQ4_K_Mfits4 tok/s£1,6492.2
NVIDIA GeForce RTX 3090 TiQ4_K_Mfits29 tok/s£2,19913.1
NVIDIA RTX PRO 4000 BlackwellQ4_K_Mfits19 tok/s£2,3538.2
GMKtec EVO-X2 Ryzen AI Max+ 395 128GBQ8_0fits4 tok/s£3,3991.3
Mac mini M4 Pro 64GBQ8_0fits5 tok/s£3,3991.6
Mac Studio M4 Max 64GBQ8_0fits11 tok/s£3,3993.1
NVIDIA RTX A6000Q8_0fits14 tok/s£3,9993.6
NVIDIA RTX PRO 4500 BlackwellQ6_Kfits20 tok/s£4,5874.3
NVIDIA GeForce RTX 5090Q6_Kfits40 tok/s£4,8378.2
NVIDIA DGX Spark 128GBQ8_0fits5 tok/s£4,9991.0
NVIDIA GeForce RTX 4090Q4_K_Mfits29 tok/s£5,0825.7
Mac Studio M3 Ultra 96GBQ8_0fits16 tok/s£5,1493.1
ASUS Ascent GX10 128GBQ8_0fits5 tok/s£5,2991.0
Lenovo ThinkStation PGX GB10 128GBQ8_0fits5 tok/s£5,9440.9
NVIDIA RTX PRO 5000 Blackwell 48GBQ8_0fits25 tok/s£7,5003.4
Mac Studio M3 Ultra 256GBQ8_0fits16 tok/s£8,3491.9
NVIDIA RTX 6000 Ada GenerationQ8_0fits18 tok/s£11,2831.6
NVIDIA RTX PRO 6000 BlackwellQ8_0fits34 tok/s£14,4992.3
Mac Studio M3 Ultra 512GBQ8_0fits16 tok/s£17,4950.9
Mac Studio M4 Max 128GBQ8_0fits11 tok/s––
Framework Desktop Ryzen AI Max+ 395 128GBQ8_0fits4 tok/s––
Mac mini M4 Pro 48GBQ8_0fits5 tok/s––
Framework Desktop Ryzen AI Max+ 395 64GBQ8_0fits4 tok/s––
Intel Arc Pro B60Q4_K_Mfits11 tok/s––
NVIDIA RTX PRO 5000 Blackwell 72GBQ8_0fits25 tok/s––
AMD Radeon PRO W7900Q8_0fits14 tok/s––
Beelink GTR9 Pro Ryzen AI Max+ 395 128GBQ8_0fits4 tok/s––
NVIDIA GeForce RTX 5050Q4_K_Moffload3 tok/s£3608.9
NVIDIA GeForce RTX 3060 12GBQ4_K_Moffload4 tok/s£39510.4
AMD Radeon RX 7600 XTQ4_K_Moffload5 tok/s£40011.5
NVIDIA GeForce RTX 5060Q4_K_Moffload3 tok/s£4008.3
Intel Arc A770 16GBQ4_K_Moffload6 tok/s£40514.1
NVIDIA GeForce RTX 4060 Ti 8GBQ4_K_Moffload3 tok/s£4077.9
NVIDIA GeForce RTX 5060 Ti 8GBQ4_K_Moffload3 tok/s£4407.5
NVIDIA GeForce RTX 3080 10GBQ4_K_Moffload4 tok/s£4997.8
Intel Arc B580Q4_K_Moffload4 tok/s£5147.8
AMD Radeon RX 9060 XT 16GBQ4_K_Moffload5 tok/s£5408.9
NVIDIA GeForce RTX 4060Q4_K_Moffload3 tok/s£5505.8
NVIDIA GeForce RTX 5060 Ti 16GBQ4_K_Moffload6 tok/s£7008.3
AMD Radeon RX 9070Q4_K_Moffload6 tok/s£7008.6
NVIDIA RTX PRO 2000 BlackwellQ4_K_Moffload5 tok/s£7027.0
NVIDIA GeForce RTX 5070Q4_K_Moffload5 tok/s£7406.1
AMD Radeon RX 9070 XTQ4_K_Moffload6 tok/s£7657.8
NVIDIA GeForce RTX 4070Q4_K_Moffload4 tok/s£7865.5
AMD Radeon RX 7800 XTQ4_K_Moffload6 tok/s£8007.5
AMD Radeon RX 7900 XTQ4_K_Moffload12 tok/s£82913.9
NVIDIA GeForce RTX 4070 SuperQ4_K_Moffload4 tok/s£9544.5
NVIDIA GeForce RTX 5070 TiQ4_K_Moffload7 tok/s£9757.1
NVIDIA GeForce RTX 4060 Ti 16GBQ4_K_Moffload5 tok/s£9775.0
NVIDIA GeForce RTX 4070 Ti SuperQ4_K_Moffload7 tok/s£1,3294.9
NVIDIA GeForce RTX 5080Q4_K_Moffload7 tok/s£1,3725.1
NVIDIA GeForce RTX 4080 SuperQ4_K_Moffload7 tok/s£1,4304.7

1 other card or machine we price cannot hold it at this context.

Memory needed

Weights, KV cache and runtime buffers at each context length (KV cache at fp16).

QuantFile@8k@32k@64k@128k
Q4_K_Mgguf16.0 GB17.4 GB19.1 GB21.2 GB25.6 GB
Q5_K_Mgguf19.3 GB20.7 GB22.3 GB24.5 GB28.9 GB
Q6_Kgguf22.0 GB23.4 GB25.0 GB27.2 GB31.6 GB
Q8_0gguf26.7 GB28.1 GB29.7 GB31.9 GB36.3 GB

Run it

Copy a command for the runtime you use.

  • Q4_K_M
    • Ollamaollama run hf.co/bartowski/BAAI_AREX-2-GGUF:Q4_K_M
    • LM Studiolms get bartowski/BAAI_AREX-2-GGUF@q4_k_m
    • llama.cppllama-server -hf bartowski/BAAI_AREX-2-GGUF:Q4_K_M
  • Q5_K_M
    • Ollamaollama run hf.co/bartowski/BAAI_AREX-2-GGUF:Q5_K_M
    • LM Studiolms get bartowski/BAAI_AREX-2-GGUF@q5_k_m
    • llama.cppllama-server -hf bartowski/BAAI_AREX-2-GGUF:Q5_K_M
  • Q6_K
    • Ollamaollama run hf.co/bartowski/BAAI_AREX-2-GGUF:Q6_K
    • LM Studiolms get bartowski/BAAI_AREX-2-GGUF@q6_k
    • llama.cppllama-server -hf bartowski/BAAI_AREX-2-GGUF:Q6_K
  • Q8_0
    • Ollamaollama run hf.co/bartowski/BAAI_AREX-2-GGUF:Q8_0
    • LM Studiolms get bartowski/BAAI_AREX-2-GGUF@q8_0
    • llama.cppllama-server -hf bartowski/BAAI_AREX-2-GGUF:Q8_0

Notes

Dense 27B multimodal model fine-tuned from Qwen3.8-27B; requires a recent Transformers release with Qwen3.8 support. The card says to follow the Qwen base model's terms and notices.

Questions

How much VRAM does AREX 2 need?
At Q4_K_M, AREX 2 needs about 17 GB of memory at 8k context and 21 GB at 64k, counting the weights, the KV cache and runtime buffers.
What is the best GPU for running AREX 2 locally?
The cheapest hardware in the UK that runs AREX 2 fully in memory at 64k context is the NVIDIA GeForce RTX 3090, £1,330 at Amazon, at about 27 tok/s (estimated). The fastest we price is the NVIDIA GeForce RTX 5090, at about 40 tok/s.
What is the cheapest way to run AREX 2 in the UK today?
The AMD Radeon RX 7900 XTX, £1,031 used at eBay, in stock: it runs AREX 2 at Q4_K_M fully in memory at 64k context, at about 24 tok/s (estimated).
Can I run AREX 2 on a 16 GB GPU?
Only partly: at 64k context it does not fit in 16 GB, so part of it runs from system RAM and it slows to about 5 tok/s on the AMD Radeon RX 7600 XT (estimated).
Can I run AREX 2 on a 24 GB GPU?
Yes: at Q4_K_M it fits fully in 24 GB at 64k context. On the NVIDIA GeForce RTX 3090 Ti it runs at about 29 tok/s (estimated).
How do I run AREX 2 locally?
With Ollama: ollama run hf.co/bartowski/BAAI_AREX-2-GGUF:Q4_K_M (the Q4_K_M build). LM Studio and llama.cpp commands are on this page.
What licence is AREX 2 released under?
Apache License 2.0, which allows commercial use.

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