DeepSeek V4.1 Flash 1017 MXFP4 Uncensored — Hardware Requirements & GPU Compatibility
ChatFunctions
DeepSeek V4.1 Flash 1017 MXFP4 Uncensored is a 763.2B-parameter open language model from Infatoshi in the DeepSeek V4 family. It supports a context window of up to 1,048,576 tokens. At Q4_K_M it needs about 458.25 GB of VRAM — see which GPUs and Macs can run it below.
DeepSeek V4.1 Flash 1017 MXFP4 Uncensored runs on a 512 GB+ Mac or a multi-GPU server
Best local pick → Mac Studio (M3 Ultra, 512GB) · Q4_K_M · 458.4 GB · ~5 tok/s
Macs from 512 GB (Q4_K_M · ~5 tok/s)
MIT
Not set up for it?
Reference GPU · RTX 4090 24 GB
Estimates, ±20% · how we estimate
Run DeepSeek V4.1 Flash 1017 MXFP4 Uncensored
One recommended way. Every other method, OS and quant is in the step-by-step guide.
Recommended
vllm serve Infatoshi/DeepSeek-V4.1-Flash-1017-MXFP4-uncensored --max-model-len 16384 --tensor-parallel-size 8Size the nodes from the table above
Download: Weights on Hugging Face
Other ways
each opens step-by-stepRun in cloud
Rent 7× H100 SXM · Q4_K_M
- Estimated hourly price
- ~$18.83/hr
- est., whole server
- GPUs
- 7 GPUs
- 560 GB of VRAM
How Much VRAM Does DeepSeek V4.1 Flash 1017 MXFP4 Uncensored Need?
Select a quantization level; the listed hardware adheres to it.
| Quantization | VRAM | +32K | Runs on | |
|---|---|---|---|---|
| 324.7 GB | 325.1 GB | 2-bit · K-quant — 2-bit quantization with K-quant improvements | Runs on 5× H100 SXM 80 GB | |
| 372.4 GB | 372.8 GB | 3-bit medium — 3-bit medium quantization | Runs on 6× H100 SXM 80 GB | |
| 458.3 GB | 458.6 GB | 4-bit medium — 4-bit medium quantization — most popular sweet spot | Runs on 7× H100 SXM 80 GB | |
| 544.1 GB | 544.5 GB | 5-bit medium — 5-bit medium quantization — good quality/size tradeoff | Runs on 8× H100 SXM 80 GB | |
| 630.0 GB | 630.4 GB | 6-bit, very good — 6-bit quantization, very good quality | Runs on 5× H200 SXM 141 GB | |
| 763.5 GB | 763.9 GB | 8-bit, near-lossless — 8-bit quantization, near-lossless | Runs on 7× H200 SXM 141 GB | |
| 1526.7 GB | 1527.1 GB | 16-bit · bfloat — Brain floating point 16 — preferred for training | Runs on 3 nodes of 8× H100 SXM |
Selected Q4_K_M
4-bit medium quantization458.4GBat 16K context
- Weights
- 457.9 GB
- KV cache
- 0.2 GB
- Overhead
- 0.3 GB
Server-class: ~458.4 GB at 16K context · about 7× H100 SXM 80 GB
Which Hardware Can Run DeepSeek V4.1 Flash 1017 MXFP4 Uncensored?
Q4_K_M · 458.3 GBDeepSeek V4.1 Flash 1017 MXFP4 Uncensored (Q4_K_M) requires 458.3 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 596+ GB is recommended. Using the full 1049K context window can add up to 13.4 GB, bringing total usage to 471.6 GB. No consumer GPU has enough memory. 1 device with unified memory can run DeepSeek V4.1 Flash 1017 MXFP4 Uncensored, including Mac Studio (M3 Ultra, 512GB).
Needs server-class hardware
DeepSeek V4.1 Flash 1017 MXFP4 Uncensored runs on a 512 GB+ Mac or a multi-GPU server · Q4_K_M needs ~458.4 GB
| Hardware | Quant | Memory | Speed | Context | Hardware page | |
|---|---|---|---|---|---|---|
| Mac 512 GB · Mac Studio (M3 Ultra, 512GB) | Q4_K_M | 458.4 GB | ~5 tok/s | 1M ctx | Mac Studio → | Q4_K_M · 458.4 GB · ~5 tok/s · 1M ctx |
| 7× H100 SXM 80 GB · 560 GB | Q4_K_M | 458.4 GB | — | 1M ctx | H100 SXM → | Q4_K_M · 458.4 GB · 1M ctx |
| 4× H200 SXM 141 GB · 564 GB | Q4_K_M | 458.4 GB | — | 1M ctx | H200 SXM → | Q4_K_M · 458.4 GB · 1M ctx |
| 3× B200 192 GB · 576 GB | Q4_K_M | 458.4 GB | — | 1M ctx | B200 → | Q4_K_M · 458.4 GB · 1M ctx |
Also: Mac Studio (M3 Ultra, 512GB) · NVIDIA DGX A100 640GB · NVIDIA DGX H100
By VRAM tier · typical GPUs and Macs at Q4_K_M
Consumer GPUs (up to 32 GB) and Macs up to 256 GB: too small for this model (needs ≥ 324.9 GB)8 GB tier →12 GB tier →16 GB tier →24 GB tier →Macs →
Alternatives to DeepSeek V4.1 Flash 1017 MXFP4 Uncensored
DeepSeek V4 family · 13 models →Similar models
4| Model | Score | VRAM | tok/s | Why it is similar |
|---|---|---|---|---|
| GLM 5.3Z.ai | 130.1 | 453.8 GB | —needs > 24 GB | same size |
| Muse Spark Open 816B A42BMeta | 125.6 | 551.9 GB | —needs > 24 GB | same size |
| Atria Dawn PreviewInternLM | — | 1508.4 GB | —needs > 24 GB | same size |
| Hy4 PreviewTencent | — | 1564.2 GB | —needs > 24 GB | same size |
Specifications
- Publisher
- Infatoshi
- Family
- DeepSeek V4
- Parameters
- 763.2B
- Active parameters
- 188B per token
- Architecture
- DeepseekV41ForCausalLM
- Context Length
- 1,048,576 tokens
- Vocabulary Size
- 129,280
- Release Date
- 2026-10-18
- License
- MIT
Frequently Asked Questions
How much VRAM does DeepSeek V4.1 Flash 1017 MXFP4 Uncensored need?
DeepSeek V4.1 Flash 1017 MXFP4 Uncensored requires 458.3 GB of VRAM at Q4_K_M, or 1526.7 GB at BF16. Full 1049K context adds up to 13.4 GB (471.6 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 763.2B × 4.8 bits ÷ 8 = 457.9 GB
KV Cache + Overhead ≈ 0.4 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.
KV Cache + Overhead ≈ 13.7 GB (at full 1049K context)
VRAM usage by quantization
Can NVIDIA GeForce RTX 5090 run DeepSeek V4.1 Flash 1017 MXFP4 Uncensored?
No — DeepSeek V4.1 Flash 1017 MXFP4 Uncensored requires at least 324.7 GB at Q2_K, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
What's the best quantization for DeepSeek V4.1 Flash 1017 MXFP4 Uncensored?
For DeepSeek V4.1 Flash 1017 MXFP4 Uncensored, Q4_K_M (458.3 GB) offers the best balance of quality and VRAM usage. Q5_K_M (544.1 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 324.7 GB.
VRAM requirement by quantization
★ Recommended — best balance of quality and VRAM usage.
Can I run DeepSeek V4.1 Flash 1017 MXFP4 Uncensored on a Mac?
Yes — Mac Studio (M3 Ultra, 512GB) and above can run DeepSeek V4.1 Flash 1017 MXFP4 Uncensored. Apple Silicon uses unified memory, so the model shares RAM with the system. At Q4_K_M you need at least 458.3 GB of usable unified memory (RAM minus macOS overhead).
Can I run DeepSeek V4.1 Flash 1017 MXFP4 Uncensored locally?
Yes — DeepSeek V4.1 Flash 1017 MXFP4 Uncensored can run locally on consumer hardware. Popular tools include Ollama, LM Studio, and llama.cpp.
What's the download size of DeepSeek V4.1 Flash 1017 MXFP4 Uncensored?
At Q4_K_M, the download is about 457.92 GB. The full-precision BF16 version is 1526.41 GB. The smallest option (Q2_K) is 324.36 GB.
Which GPUs can run DeepSeek V4.1 Flash 1017 MXFP4 Uncensored?
No single consumer GPU has enough VRAM to run DeepSeek V4.1 Flash 1017 MXFP4 Uncensored at Q4_K_M (458.3 GB). Multi-GPU or professional hardware is required.
Which devices can run DeepSeek V4.1 Flash 1017 MXFP4 Uncensored?
1 device with unified memory can run DeepSeek V4.1 Flash 1017 MXFP4 Uncensored at Q4_K_M (458.3 GB), including Mac Studio (M3 Ultra, 512GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.