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orcarouterDeepSeek V4

DeepSeek V4 Flash Vision Uncensored — Hardware Requirements & GPU Compatibility

VisionReasoning

DeepSeek V4 Flash Vision Uncensored is a 304.6B-parameter open language model from orcarouter in the DeepSeek V4 family. At Q4_K_M it needs about 201.07 GB of VRAM — see which GPUs and Macs can run it below.

304.6B params · denseMIT3.1K downloads55 likes2.8K quant downloads

DeepSeek V4 Flash Vision Uncensored runs on a 256 GB+ Mac or a datacenter GPU

Best local pick → Mac Studio (M3 Ultra, 256GB) · Q4_K_M · 208.2 GB · ~3 tok/s

Macs from192 GB Q3_K_M · ~3 tok/s

MIT

Not set up for it?

Reference GPU · RTX 4090 24 GB

Estimates, ±20% · how we estimate

Run DeepSeek V4 Flash Vision Uncensored

One recommended way. Every other method, OS and quant is in the step-by-step guide.Each way opens a step-by-step guide for your OS and quant.

Recommended

Ollama
one command · needs Ollama installed
$ollama run hf.co/orcarouter/DeepSeek-V4-Flash-Vision-Uncensored-GGUF

Q4_K_M runs on one Instinct MI325X 256 GB · 16K context

Download: DeepSeek-V4-Flash-Vision-Uncensored-Q4_K_M.gguf182.79 GBorcarouter

install, OS, other quants

Ways to runOther ways

each opens step-by-step

Run in cloud

Rent 3× H100 SXM · Q4_K_M

Estimated hourly price
~$8.07/hr
est., whole server
GPUs
3 GPUs
240 GB of VRAM

How Much VRAM Does DeepSeek V4 Flash Vision Uncensored Need?

Select a quantization level; the listed hardware adheres to it.

QuantizationVRAM+32KRuns on
142.4 GB157.7 GB2-bit · K-quant — 2-bit quantization with K-quant improvementsRuns on B200 192 GB
163.4 GB178.6 GB3-bit medium — 3-bit medium quantizationRuns on B200 192 GB
201.1 GB216.3 GB4-bit medium — 4-bit medium quantization — most popular sweet spotRuns on Instinct MI325X 256 GB
238.8 GB254 GB5-bit medium — 5-bit medium quantization — good quality/size tradeoffRuns on Instinct MI325X 256 GB
276.5 GB291.7 GB6-bit, very good — 6-bit quantization, very good qualityRuns on Instinct MI350X 288 GB
335.1 GB350.4 GB8-bit, near-lossless — 8-bit quantization, near-losslessRuns on 5× H100 SXM 80 GB
670.2 GB685.5 GB16-bit · bfloat — Brain floating point 16 — preferred for trainingRuns on 6× H200 SXM 141 GB
est.calculated, no published file yet

Selected Q4_K_M

4-bit medium quantization

208.2GBat 16K context

Weights
199.8 GB
KV cache
8.1 GB
Overhead
0.3 GB

Server-class: ~208.2 GB at 16K context · one Instinct MI325X 256 GB

Which Hardware Can Run DeepSeek V4 Flash Vision Uncensored?

Q4_K_M · 201.1 GB

DeepSeek V4 Flash Vision Uncensored (Q4_K_M) requires 201.1 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 262+ GB is recommended. No consumer GPU has enough memory. 2 devices with unified memory can run DeepSeek V4 Flash Vision Uncensored, including Mac Studio (M3 Ultra, 512GB), Mac Studio (M3 Ultra, 256GB).

By VRAM tier · typical GPUs and Macs at Q4_K_M

Consumer GPUs (up to 32 GB) and Macs up to 128 GB: too small for this model (needs ≥ 149.5 GB)8 GB tier →12 GB tier →16 GB tier →24 GB tier →Macs →

Alternatives to DeepSeek V4 Flash Vision Uncensored

DeepSeek V4 family · 13 models →

Similar models

6
ModelScoreVRAMWhy it is similar
GLM 5.3 FlashZ.ai124.1205.2 GBsame size
ERNIE 5.5 Flash BaseBaidu—573 GBsame size
IQuest Q1IQuestLab—195.4 GBsame size
MiMo V2.6 Flash MOPDXiaomi—186.5 GBsame size
Hy3Tencent—182.3 GBsame size
Step3StepFun—219.1 GBsame size

Specifications

Publisher
orcarouter
Parameters
304.6B
Release Date
2026-09-02
License
MIT

Frequently Asked Questions

How much VRAM does DeepSeek V4 Flash Vision Uncensored need?

DeepSeek V4 Flash Vision Uncensored requires 201.1 GB of VRAM at Q4_K_M, or 670.2 GB at BF16.

VRAM = Weights + KV Cache + Overhead

Weights = 304.6B × 4.8 bits ÷ 8 = 182.8 GB

KV Cache + Overhead ≈ 18.3 GB (at 2K context + ~0.3 GB framework)

Fit ratings and hardware model lists check this model with room for a 16K-token context, which needs a little more memory.

VRAM usage by quantization

201.1 GB

Learn more about VRAM estimation →

Can NVIDIA GeForce RTX 5090 run DeepSeek V4 Flash Vision Uncensored?

No — DeepSeek V4 Flash Vision Uncensored requires at least 142.4 GB at Q2_K, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.

What's the best quantization for DeepSeek V4 Flash Vision Uncensored?

For DeepSeek V4 Flash Vision Uncensored, Q4_K_M (201.1 GB) offers the best balance of quality and VRAM usage. Q5_K_M (238.8 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 142.4 GB.

VRAM requirement by quantization

Q2_K
142.4 GB
Q4_K_M ★
201.1 GB
Q5_K_M
238.8 GB
Q6_K
276.5 GB
Q8_0
335.1 GB
BF16
670.2 GB

★ Recommended — best balance of quality and VRAM usage.

Learn more about quantization →

Can I run DeepSeek V4 Flash Vision Uncensored on a Mac?

Yes — Mac Pro M2 Ultra (192 GB) and 3 other Macs can run DeepSeek V4 Flash Vision Uncensored, the smallest at Q3_K_M. Apple Silicon uses unified memory, so the model shares RAM with the system. At Q4_K_M you need at least 201.1 GB of usable unified memory (RAM minus macOS overhead), from Mac Studio (M3 Ultra, 256GB).

Can I run DeepSeek V4 Flash Vision Uncensored locally?

Yes — DeepSeek V4 Flash Vision Uncensored can run locally on consumer hardware. Popular tools include Ollama, LM Studio, and llama.cpp.

How fast is DeepSeek V4 Flash Vision Uncensored?

At Q4_K_M, DeepSeek V4 Flash Vision Uncensored can reach ~24 tok/s on AMD Instinct MI350X. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.

tok/s = (bandwidth GB/s ÷ model GB) × efficiency

Example: NVIDIA B300 → 8000 ÷ 201.1 × 0.65 = ~26 tok/s

Estimated speed at Q4_K_M (201.1 GB)

~26 tok/s
~24 tok/s
~24 tok/s

Real-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.

Learn more about tok/s estimation →

What's the download size of DeepSeek V4 Flash Vision Uncensored?

At Q4_K_M, the download is about 182.79 GB. The full-precision BF16 version is 609.29 GB. The smallest option (Q2_K) is 129.47 GB.

Which GPUs can run DeepSeek V4 Flash Vision Uncensored?

No single consumer GPU has enough VRAM to run DeepSeek V4 Flash Vision Uncensored at Q4_K_M (201.1 GB). Multi-GPU or professional hardware is required.

Which devices can run DeepSeek V4 Flash Vision Uncensored?

2 devices with unified memory can run DeepSeek V4 Flash Vision Uncensored at Q4_K_M (201.1 GB), including Mac Studio (M3 Ultra, 256GB), Mac Studio (M3 Ultra, 512GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.