Exxact Valence Workstation - VWS-107355433

Configurations

Pick one to see which models it runs. More memory lets larger models fit; bandwidth sets how fast they answer.

Specifications 4.0 GB configuration

Maker	EExxact
Type	Workstation
Chip	NVIDIA RTX A400
Video memory (VRAM)	4.0 GB
Usable for AI models	4.0 GB
Memory bandwidth	96 GB/s
FP16 compute	2.7 TFLOPS
Notes	Workstation with NVIDIA RTX professional graphics; each option below is a GPU you can configure. Listed on the NVIDIA Marketplace.
Product page	www.exxactcorp.com (opens in a new tab)

Best LLMs for the Exxact Valence Workstation - VWS-107355433 4.0 GB

Quality	Model	Quant	Memory	Speed	Runs
B64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.	Nemotron Labs Dory 1.0 4BNVIDIA	Q4_K_M	3.7 GB	29.6 tok/s	Runs welltight fit
B58Good quality (B) · 58 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.	OBMiniCPM5 2BOpenBMB	Q5_K_M	2.9 GB	38.6 tok/s	Runs great
B58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 E2BGoogle	Q4_K_M	4.0 GB	51.2 tok/s	Runs welltight fit
B62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.	SLSpark-X2.6 4BSparkLLM	Q4_K_M	3.6 GB	28.7 tok/s	Runs welltight fit
B55Good quality (B) · 55 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.	LALFM3 1.7BLiquid AI	Q6_K	2.3 GB	47.3 tok/s	Runs great
B57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.	ATMax 4BAi2	Q4_K_M	3.6 GB	28.0 tok/s	Runs welltight fit
B58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.5 4BAlibaba	Q4_K_M	3.9 GB	25.3 tok/s	Runs welltight fit
B57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.	ISAgents-A1 4BInternScience	Q4_K_M	3.8 GB	26.0 tok/s	Runs welltight fit
C49Fair quality (C) · 49 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.	LALFM3-VL 2BLiquid AI	Q6_K	2.5 GB	42.6 tok/s	Runs great
B55Good quality (B) · 55 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.	MFara 1.5 4BMicrosoft	Q4_K_M	3.8 GB	26.0 tok/s	Runs welltight fit

Best Image models for the Exxact Valence Workstation - VWS-107355433 4.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A76Great quality (A) · 76 of 100: how capable the model is at FP8, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.	BFFLUX.2 [klein] 4BBlack Forest Labs	FP8	3.5 GB	15 s	Runs welltight fit · CPU offload
C42Fair quality (C) · 42 of 100: how capable the model is at FP16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.	SGRealistic Vision V5.1SG161222	FP16	2.8 GB	16 s	Runs well
C40Fair quality (C) · 40 of 100: how capable the model is at FP16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.	LDreamShaper 8Lykon	FP16	2.8 GB	16 s	Runs well
A84Great quality (A) · 84 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.	BFFLUX 3 Image KleinBlack Forest Labs	Q4 GGUF	3.4 GB	1.9 min	SlowCPU offload
D30Basic quality (D) · 30 of 100: how capable the model is at FP16, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.	TLCM DreamShaper v7Tsinghua (LCM)	FP16	2.8 GB	3.3 s	Runs great
C50Fair quality (C) · 50 of 100: how capable the model is at FP16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.	PAPixArt-Σ XL 1024PixArt	FP16	3.3 GB	20 s	Runs wellencoder in RAM

Best Video models for the Exxact Valence Workstation - VWS-107355433 4.0 GB

Quality	Model	Quant	Memory	Speed	Runs
D35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking.	SAAnimateDiff v3 (SD 1.5)Shanghai AI Lab	FP16	2.6 GB	5.6 min	Runs wellCPU offload

Best Decision models for the Exxact Valence Workstation - VWS-107355433 4.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.	FGLiNER2.5 DecideFastino	F16	1.7 GB	85 ms	Runs great
A+86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.	JAJina Reranker v3.5Jina AI	Q8_0	1.7 GB	172 ms	Runs well
A80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.	SAFRIDA-DecisionsSber AI	Q8_0	1.7 GB	121 ms	Runs great
A84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.	JAJina Reranker v3Jina AI	Q8_0	1.7 GB	172 ms	Runs well
A76Great quality (A) · 76 of 100: how capable the model is at F16, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.	Llama Prompt Guard 2 86MMeta	F16	1.2 GB	96 ms	Runs great
A74Great quality (A) · 74 of 100: how capable the model is at F16, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.	KGLiClass ModernBERT Large v3Knowledgator	F16	1.5 GB	70 ms	Runs great
A78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.	OAOpenAI Privacy FilterOpenAI	Q8_0	2.4 GB	11 ms	Runs great
A80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3 Reranker 0.6BAlibaba	Q8_0	1.7 GB	172 ms	Runs well

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