Open-weight models that run on NVIDIA RTX PRO 6000 Blackwell Workstation Edition

Memory 96 GB
Bandwidth 1792 GB/s
FP16 dense 503.8 TFLOPS
Usable 86.4 GB

Specs: Memory · RTX PRO 6000 Blackwell Workstation Edition | NVIDIA · Bandwidth · RTX PRO 6000 Blackwell Workstation Edition | NVIDIA · FP16 dense · NVIDIA RTX PRO Blackwell GPU Architecture (whitepaper V1.1)

Search Precision Context Concurrent requests Minimum speed Architecture Type Maker Sort

Fit	Model	Parameters / active	Precision	Memory	Est. speed	Longest context	Runs as
Runs well	Ming-3.0-audio-flash Ant Group	128.2B / 6.5B	Q4_K_M	76.5 / 86.4 GB	206–309 tok/s	128K	One GPU
Runs well	Ling-3.0-flash Ant Group	127.5B / 5.1B	Q4_K_Mmaker’s file	75.7 / 86.4 GB	258–387 tok/s	240K	One GPU
Runs well	Qwen3.5-122B-A10B Alibaba Qwen	125.1B / 10B	Q4_K_M	74.5 / 86.4 GB	143–214 tok/s	256K	One GPU
Runs well	Ling-3.0-flash-VL Ant Group	124.8B / 5.5B	Q4_K_M	74.5 / 86.4 GB	240–360 tok/s	128K	One GPU
Runs well	gpt-oss-120b OpenAI	116.8B / 5.1B	MXFP4 (native)maker’s file	64.1 / 86.4 GB	284–426 tok/s	128K	One GPU
Runs well	GLM-4.5-Air Zhipu AI	110.5B	Q5_0	75.7 / 86.4 GB	68–101 tok/s	67K	One GPU
Runs well	GLM-4.5V Zhipu AI	107.7B / 12B	Q5_K_M	76.4 / 86.4 GB	89–133 tok/s	63K	One GPU
Runs well	GLM-4.6V Zhipu AI	107.7B	Q5_K_M	76.4 / 86.4 GB	77–115 tok/s	63K	One GPU
Runs well	Ling-2.6-flash Ant Group	107.5B / 7.4B	Q5_K_M	75.0 / 86.4 GB	161–241 tok/s	128K	One GPU
Runs well	Qwen3-Next-80B-A3B-Instruct Alibaba Qwen	81.3B / 3B	Q6_Kmaker’s file	64.3 / 86.4 GB	342–513 tok/s	256K	One GPU
Runs well	Qwen3-Next-80B-A3B-Thinking Alibaba Qwen	81.3B / 3B	Q6_Kmaker’s file	64.3 / 86.4 GB	342–513 tok/s	256K	One GPU
Runs well	Qwen3-Coder-Next Alibaba Qwen	79.7B / 3B	Q6_Kmaker’s file	64.3 / 86.4 GB	336–504 tok/s	256K	One GPU
Runs well	Qwen2.5-VL-72B-Instruct Alibaba Qwen	73.4B	Q6_K	61.5 / 86.4 GB	14–21 tok/s	88K	One GPU
Runs well	Qwen2-VL-72B-Instruct Alibaba Qwen	73.4B	Q6_K	61.5 / 86.4 GB	14–21 tok/s	32K	One GPU
Runs well	Qwen2.5-72B-Instruct Alibaba Qwen	72.7B	Q6_Kmaker’s file	61.0 / 86.4 GB	14–21 tok/s	32K	One GPU
Runs well	Qianfan-VL-70B Baidu	71.8B	Q6_K	60.2 / 86.4 GB	15–22 tok/s	32K	One GPU
Runs well	DeepSeek-R1-Distill-Llama-70B DeepSeek	70.6B	Q6_K	59.2 / 86.4 GB	15–22 tok/s	95K	One GPU
Runs well	Qwen3.5-35B-A3B Alibaba Qwen	36B / 3B	BF16 (native)maker’s file	70.5 / 86.4 GB	145–218 tok/s	256K	One GPU
Runs well	Qwen3.6-35B-A3B Alibaba Qwen	36B / 3B	BF16 (native)maker’s file	70.5 / 86.4 GB	145–218 tok/s	256K	One GPU
Runs well	Qwen2.5-VL-32B-Instruct Alibaba Qwen	33.5B	BF16 (native)maker’s file	68.8 / 86.4 GB	13–19 tok/s	79K	One GPU
Runs well	Qwen3-VL-32B-Instruct Alibaba Qwen	33.4B	BF16 (native)maker’s file	67.2 / 86.4 GB	13–20 tok/s	84K	One GPU
Runs well	Qwen3-VL-32B-Thinking Alibaba Qwen	33.4B	BF16 (native)maker’s file	67.2 / 86.4 GB	13–20 tok/s	84K	One GPU
Runs well	Qwen2.5-32B-Instruct Alibaba Qwen	32.8B	BF16 (native)maker’s file	66.1 / 86.4 GB	13–20 tok/s	32K	One GPU
Runs well	Qwen2.5-Coder-32B-Instruct Alibaba Qwen	32.8B	BF16 (native)maker’s file	66.1 / 86.4 GB	13–20 tok/s	32K	One GPU
Runs well	QwQ-32B Alibaba Qwen	32.8B	BF16 (native)maker’s file	66.1 / 86.4 GB	13–20 tok/s	40K	One GPU
Runs well	DeepSeek-R1-Distill-Qwen-32B DeepSeek	32.8B	BF16 (native)maker’s file	66.1 / 86.4 GB	13–20 tok/s	32K	One GPU
Runs well	Qwen3-32B Alibaba Qwen	32.8B	BF16 (native)maker’s file	66.1 / 86.4 GB	13–20 tok/s	128K	One GPU
Runs well	Qwen3-Omni-30B-A3B-Captioner Alibaba Qwen	31.7B	BF16 (native)maker’s file	62.8 / 86.4 GB	91–136 tok/s	64K	One GPU
Runs well	Gemma 4 31B IT Google	31.3B	BF16 (native)maker’s file	63.2 / 86.4 GB	14–21 tok/s	156K	One GPU
Runs well	GLM-4.7-Flash Zhipu AI	31.2B	BF16 (native)maker’s file	61.5 / 86.4 GB	83–125 tok/s	195K	One GPU
Runs well	Qwen3-VL-30B-A3B-Instruct Alibaba Qwen	31.1B	BF16 (native)maker’s file	61.5 / 86.4 GB	104–156 tok/s	128K	One GPU
Runs well	Qwen3-VL-30B-A3B-Thinking Alibaba Qwen	31.1B	BF16 (native)maker’s file	61.5 / 86.4 GB	104–156 tok/s	128K	One GPU
Runs well	Qwen3-30B-A3B-Instruct-2507 Alibaba Qwen	30.5B / 3.3B	BF16 (native)maker’s file	60.5 / 86.4 GB	121–181 tok/s	256K	One GPU
Runs well	Qwen3-30B-A3B-Thinking-2507 Alibaba Qwen	30.5B / 3.3B	BF16 (native)maker’s file	60.5 / 86.4 GB	121–181 tok/s	256K	One GPU
Runs well	Qwen3-30B-A3B Alibaba Qwen	30.5B / 3.3B	BF16 (native)maker’s file	60.5 / 86.4 GB	121–181 tok/s	128K	One GPU
Runs well	Qwen3-Coder-30B-A3B-Instruct Alibaba Qwen	30.5B / 3.3B	BF16 (native)maker’s file	60.5 / 86.4 GB	121–181 tok/s	256K	One GPU
Runs well	Hy-Memory-30B-A3B Tencent	30.1B / 3B	BF16 (native)maker’s file	59.6 / 86.4 GB	132–197 tok/s	63K	One GPU
Runs well	Granite Switch 4.1 30B IBM	30B	BF16 (native)maker’s file	60.7 / 86.4 GB	14–22 tok/s	107K	One GPU
Runs well	Qwen3.5-27B Alibaba Qwen	27.8B	BF16 (native)maker’s file	54.8 / 86.4 GB	16–24 tok/s	256K	One GPU
Runs well	Qwen3.6-27B Alibaba Qwen	27.8B	BF16 (native)maker’s file	54.8 / 86.4 GB	16–24 tok/s	256K	One GPU
Runs well	Qwen3.8-27B Alibaba Qwen	27.8B	BF16 (native)maker’s file	54.8 / 86.4 GB	16–24 tok/s	256K	One GPU
Runs well	Gemma 4 26B A4B IT Google	25.8B / 3.8B	BF16 (native)maker’s file	51.0 / 86.4 GB	110–165 tok/s	250K	One GPU
Runs well	Magistral Small 1.2 Mistral AI	24B	Q8_0maker’s file	25.8 / 86.4 GB	34–51 tok/s	125K	One GPU
Runs well	Devstral Small 1.0 Mistral AI	23.6B	Q8_0	25.7 / 86.4 GB	34–51 tok/s	125K	One GPU
Runs well	Devstral Small 1.1 Mistral AI	23.6B	Q8_0	25.7 / 86.4 GB	34–51 tok/s	125K	One GPU
Runs well	Magistral Small 1.0 Mistral AI	23.6B	Q8_0	25.7 / 86.4 GB	34–51 tok/s	39K	One GPU
Runs well	Magistral Small 1.1 Mistral AI	23.6B	Q8_0maker’s file	25.8 / 86.4 GB	34–51 tok/s	39K	One GPU
Runs well	ERNIE-4.5-21B-A3B-Thinking Baidu	21.8B / 3B	BF16 (native)maker’s file	43.1 / 86.4 GB	138–208 tok/s	128K	One GPU
Runs well	GPT OSS 20B OpenAI	20.9B / 3.6B	MXFP4 (native)maker’s file	13.6 / 86.4 GB	348–522 tok/s	128K	One GPU
Runs well	Qwen2.5-14B-Instruct-1M Alibaba Qwen	14.8B	BF16 (native)maker’s file	30.4 / 86.4 GB	29–43 tok/s	306K	One GPU
Runs well	Qwen2.5-14B-Instruct Alibaba Qwen	14.8B	BF16 (native)maker’s file	30.4 / 86.4 GB	29–43 tok/s	32K	One GPU
Runs well	DeepSeek-R1-Distill-Qwen-14B DeepSeek	14.8B	BF16 (native)maker’s file	30.4 / 86.4 GB	29–43 tok/s	32K	One GPU
Runs well	Qwen3-14B Alibaba Qwen	14.8B	BF16 (native)maker’s file	30.1 / 86.4 GB	29–44 tok/s	128K	One GPU
Runs well	Gemma 3 12B IT Google	12.2B	BF16 (native)maker’s file	26.6 / 86.4 GB	33–49 tok/s	128K	One GPU
Runs well	Qwen2.5-Omni-7B Alibaba Qwen	10.7B	BF16 (native)maker’s file	22.3 / 86.4 GB	39–59 tok/s	32K	One GPU
Runs well	GLM-4.6V-Flash Zhipu AI	10.3B	BF16 (native)maker’s file	20.4 / 86.4 GB	43–64 tok/s	125K	One GPU
Runs well	Qwen3.5-9B Alibaba Qwen	9.7B	BF16 (native)maker’s file	19.1 / 86.4 GB	46–69 tok/s	256K	One GPU
Runs well	Qianfan-VL-8B Baidu	8.8B	BF16 (native)maker’s file	18.2 / 86.4 GB	48–72 tok/s	32K	One GPU
Runs well	Granite Switch 4.1 8B IBM	8.8B	BF16 (native)maker’s file	18.5 / 86.4 GB	47–71 tok/s	128K	One GPU
Runs well	Qwen3-VL-8B-Instruct Alibaba Qwen	8.8B	BF16 (native)maker’s file	18.3 / 86.4 GB	48–72 tok/s	128K	One GPU
Runs well	Qwen3-VL-8B-Thinking Alibaba Qwen	8.8B	BF16 (native)maker’s file	18.3 / 86.4 GB	48–72 tok/s	128K	One GPU
Runs well	pplx-embed-v2-context-9b Perplexity	8.4B	FP32 (native)maker’s file	33.1 / 86.4 GB	26–40 tok/s	256K	One GPU
Runs well	Qwen2.5-VL-7B-Instruct Alibaba Qwen	8.3B	BF16 (native)maker’s file	16.7 / 86.4 GB	53–79 tok/s	125K	One GPU
Runs well	Qwen3-8B Alibaba Qwen	8.2B	BF16 (native)maker’s file	17.1 / 86.4 GB	51–76 tok/s	128K	One GPU
Runs well	DeepSeek-R1-Distill-Llama-8B DeepSeek	8B	BF16 (native)maker’s file	16.7 / 86.4 GB	52–78 tok/s	125K	One GPU
Runs well	Gemma 4 E4B Google	8B	BF16 (native)maker’s file	15.8 / 86.4 GB	55–83 tok/s	125K	One GPU
Runs well	Ling-3.0-tiny Ant Group	7.9B / 1.3B	BF16 (native)maker’s file	15.6 / 86.4 GB	317–475 tok/s	128K	One GPU
Runs well	Qwen2.5-7B-Instruct-1M Alibaba Qwen	7.6B	BF16 (native)maker’s file	15.3 / 86.4 GB	57–86 tok/s	977K	One GPU
Runs well	Qwen2.5-7B-Instruct Alibaba Qwen	7.6B	BF16 (native)maker’s file	15.3 / 86.4 GB	57–86 tok/s	32K	One GPU
Runs well	DeepSeek-R1-Distill-Qwen-7B DeepSeek	7.6B	BF16 (native)maker’s file	15.3 / 86.4 GB	57–86 tok/s	32K	One GPU
Runs well	Mistral-7B-Instruct-v0.1 Mistral AI	7.2B	BF16 (native)maker’s file	15.2 / 86.4 GB	58–86 tok/s	32K	One GPU
Runs well	Gemma 4 E2B Google	5.1B	BF16 (native)maker’s file	10.1 / 86.4 GB	87–130 tok/s	125K	One GPU
Runs well	WeVisOne-VL-4B Tencent	4.8B	BF16 (native)maker’s file	10.6 / 86.4 GB	82–124 tok/s	256K	One GPU
Runs well	Qianfan-OCR Baidu	4.7B	BF16 (native)maker’s file	10.5 / 86.4 GB	84–126 tok/s	31K	One GPU
Runs well	Qwen3.5-4B Alibaba Qwen	4.7B	BF16 (native)maker’s file	9.4 / 86.4 GB	93–140 tok/s	256K	One GPU
Runs well	Qwen3-VL-4B-Instruct Alibaba Qwen	4.4B	BF16 (native)maker’s file	9.9 / 86.4 GB	89–133 tok/s	250K	One GPU
Runs well	Qwen3-4B-Instruct-2507 Alibaba Qwen	4B	BF16 (native)maker’s file	9.1 / 86.4 GB	97–145 tok/s	256K	One GPU
Runs well	Qwen3-4B Alibaba Qwen	4B	BF16 (native)maker’s file	9.1 / 86.4 GB	97–145 tok/s	128K	One GPU
Runs well	DeepSeek-OCR DeepSeek	3.3B	BF16 (native)maker’s file	7.2 / 86.4 GB	322–483 tok/s	8K	One GPU
Runs well	Granite-4.0-H-Micro IBM	3.2B	BF16 (native)maker’s file	6.5 / 86.4 GB	139–208 tok/s	128K	One GPU
Runs well	Qwen3-1.7B Alibaba Qwen	2B	BF16 (native)maker’s file	5.2 / 86.4 GB	179–269 tok/s	40K	One GPU
Runs well	DeepSeek-R1-Distill-Qwen-1.5B DeepSeek	1.8B	BF16 (native)maker’s file	4.0 / 86.4 GB	236–355 tok/s	125K	One GPU
Runs well	GLM-OCR Zhipu AI	1.3B	BF16 (native)maker’s file	3.5 / 86.4 GB	281–422 tok/s	128K	One GPU
Runs well	Qwen3-0.6B Alibaba Qwen	0.8B	BF16 (native)maker’s file	2.8 / 86.4 GB	367–550 tok/s	40K	One GPU
Runs well	EmbeddingGemma 2 Google	0.7B	BF16 (native)maker’s file	2.0 / 86.4 GB	568–852 tok/s	256K	One GPU
Runs well	Qwen3-Embedding-0.6B Alibaba Qwen	0.6B	BF16 (native)maker’s file	2.5 / 86.4 GB	420–631 tok/s	32K	One GPU
Runs well	bge-reranker-v2-m3 BAAI	0.6B	FP32 (native)maker’s file	3.4 / 86.4 GB	291–437 tok/s	8K	One GPU
Runs well	bge-m3-unsupervised BAAI	0.6B	FP32 (native)maker’s file	3.4 / 86.4 GB	291–437 tok/s	8K	One GPU
Runs well	bge-large-en-v1.5 BAAI	0.3B	FP32 (native)maker’s file	1.8 / 86.4 GB	644–966 tok/s	512	One GPU
Runs well	bge-reranker-base BAAI	0.3B	FP32 (native)maker’s file	1.6 / 86.4 GB	792–1188 tok/s	514	One GPU
Runs well	bge-base-en-v1.5 BAAI	0.1B	FP32 (native)maker’s file	0.9 / 86.4 GB	1961–2942 tok/s	512	One GPU
Runs well	bge-small-en-v1.5 BAAI	0B	FP32 (native)maker’s file	0.6 / 86.4 GB	6270–9405 tok/s	512	One GPU
Needs system memory	Qwen3-VL-235B-A22B-Instruct Alibaba Qwen	235.7B	IQ4_XS	123.9 GB, 38.5 in system memory	10–15 tok/s	—	31/94 layers in system memory
Needs system memory	Qwen3-VL-235B-A22B-Thinking Alibaba Qwen	235.7B	IQ4_XS	123.9 GB, 38.5 in system memory	10–15 tok/s	—	31/94 layers in system memory
Needs system memory	Qwen3-235B-A22B-Instruct-2507 Alibaba Qwen	235.1B / 22B	IQ4_XS	123.6 GB, 38.4 in system memory	11–16 tok/s	—	31/94 layers in system memory
Needs system memory	Qwen3-235B-A22B-Thinking-2507 Alibaba Qwen	235.1B / 22B	IQ4_XS	123.6 GB, 38.4 in system memory	11–16 tok/s	—	31/94 layers in system memory
Needs system memory	Qwen3-235B-A22B Alibaba Qwen	235.1B / 22B	INT4 (AWQ / GPTQ)maker’s file	123.3 GB, 37.0 in system memory	11–16 tok/s	—	30/94 layers in system memory
Needs system memory	MiniMax-M2.1 MiniMax	228.7B	Q4_K_M	137.8 GB, 52.2 in system memory	15–23 tok/s	—	25/62 layers in system memory
Needs system memory	MiniMax-M2.5 MiniMax	228.7B	Q4_K_M	137.8 GB, 52.2 in system memory	15–23 tok/s	—	25/62 layers in system memory
Needs system memory	MiniMax-M2.7 MiniMax	228.7B	Q4_K_M	137.8 GB, 52.2 in system memory	15–23 tok/s	—	25/62 layers in system memory
Needs system memory	MiniMax-M2 MiniMax	228.7B / 10B	Q4_K_M	137.8 GB, 52.2 in system memory	17–26 tok/s	—	25/62 layers in system memory
Needs system memory	MiniMax-M3.1-Flash MiniMax	220.5B / 23B	IQ4_XS	115.5 GB, 29.1 in system memory	12–18 tok/s	—	16/60 layers in system memory
Needs system memory	Step 3.7 Flash StepFun	201.4B	Q5_K_M	141.5 GB, 56.3 in system memory	44–66 tok/s	—	19/45 layers in system memory
Needs system memory	Step 3.5 Flash StepFun	199.4B / 11B	Q5_K_M	140.1 GB, 55.8 in system memory	13–19 tok/s	—	19/45 layers in system memory

Estimates from the makers’ Hugging Face repositories (as of 2026-11-06); filtered views aren’t indexed. How it’s estimated