DeepSeek V4.1 Flash 1017 Obliterated — Hardware Requirements & GPU Compatibility
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DeepSeek V4.1 Flash 1017 Obliterated is a 754.6B-parameter open language model from OBLITERATUS in the DeepSeek V4 family. It supports a context window of up to 1,048,576 tokens. At Q4_K_M it needs about 453.11 GB of VRAM — see which GPUs and Macs can run it below.
DeepSeek V4.1 Flash 1017 Obliterated runs on a 512 GB+ Mac or a multi-GPU server
Best local pick → Mac Studio (M3 Ultra, 512GB) · Q4_K_M · 453.3 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 Obliterated
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
vllm serve OBLITERATUS/DeepSeek-V4.1-Flash-1017-obliterated --max-model-len 16384 --tensor-parallel-size 8Size the nodes from the table above
Download: Weights on Hugging Face
Ways to runOther 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
$5+ bonus for new users
How Much VRAM Does DeepSeek V4.1 Flash 1017 Obliterated Need?
Select a quantization level; the listed hardware adheres to it.
| Quantization | VRAM | +32K | Runs on | |
|---|---|---|---|---|
| 321.1 GB | 321.4 GB | 2-bit · K-quant — 2-bit quantization with K-quant improvements | Runs on 5× H100 SXM 80 GB | |
| 368.2 GB | 368.6 GB | 3-bit medium — 3-bit medium quantization | Runs on 6× H100 SXM 80 GB | |
| 453.1 GB | 453.5 GB | 4-bit medium — 4-bit medium quantization — most popular sweet spot | Runs on 7× H100 SXM 80 GB | |
| 538.0 GB | 538.4 GB | 5-bit medium — 5-bit medium quantization — good quality/size tradeoff | Runs on 8× H100 SXM 80 GB | |
| 622.9 GB | 623.3 GB | 6-bit, very good — 6-bit quantization, very good quality | Runs on 5× H200 SXM 141 GB | |
| 755.0 GB | 755.4 GB | 8-bit, near-lossless — 8-bit quantization, near-lossless | Runs on 6× H200 SXM 141 GB | |
| 1509.6 GB | 1510 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 quantization453.3GBat 16K context
- Weights
- 452.8 GB
- KV cache
- 0.2 GB
- Overhead
- 0.3 GB
Server-class: ~453.3 GB at 16K context · about 7× H100 SXM 80 GB
Which Hardware Can Run DeepSeek V4.1 Flash 1017 Obliterated?
Q4_K_M · 453.1 GBDeepSeek V4.1 Flash 1017 Obliterated (Q4_K_M) requires 453.1 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 590+ GB is recommended. Using the full 1049K context window can add up to 13.4 GB, bringing total usage to 466.5 GB. No consumer GPU has enough memory. 1 device with unified memory can run DeepSeek V4.1 Flash 1017 Obliterated, including Mac Studio (M3 Ultra, 512GB).
Needs server-class hardware
DeepSeek V4.1 Flash 1017 Obliterated runs on a 512 GB+ Mac or a multi-GPU server · Q4_K_M needs ~453.3 GB
| Hardware | Quant | Memory | Speed | Context | Hardware page | |
|---|---|---|---|---|---|---|
| Mac 512 GB · Mac Studio (M3 Ultra, 512GB) | Q4_K_M | 453.3 GB | ~5 tok/s | 1M ctx | Mac Studio → | Q4_K_M · 453.3 GB · ~5 tok/s · 1M ctx |
| 7× H100 SXM 80 GB · 560 GB | Q4_K_M | 453.3 GB | — | 1M ctx | H100 SXM → | Q4_K_M · 453.3 GB · 1M ctx |
| 4× H200 SXM 141 GB · 564 GB | Q4_K_M | 453.3 GB | — | 1M ctx | H200 SXM → | Q4_K_M · 453.3 GB · 1M ctx |
| 3× B200 192 GB · 576 GB | Q4_K_M | 453.3 GB | — | 1M ctx | B200 → | Q4_K_M · 453.3 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 ≥ 321.2 GB)8 GB tier →12 GB tier →16 GB tier →24 GB tier →Macs →
Alternatives to DeepSeek V4.1 Flash 1017 Obliterated
DeepSeek V4 family · 13 models →Similar models
3| Model | Score | VRAM | tok/s | Why it is similar |
|---|---|---|---|---|
| GLM 5.3Z.ai | 130.1 | 453.8 GB | —needs > 24 GB | same size |
| Atria Dawn PreviewInternLM | — | 1508.4 GB | —needs > 24 GB | same size |
| Hy4 PreviewTencent | — | 472.2 GB | —needs > 24 GB | same size |
Specifications
- Publisher
- OBLITERATUS
- Family
- DeepSeek V4
- Parameters
- 754.6B
- Active parameters
- 179B per token
- Architecture
- DeepseekV41ForCausalLM
- Context Length
- 1,048,576 tokens
- Vocabulary Size
- 129,280
- Release Date
- 2026-10-23
- License
- MIT
Frequently Asked Questions
How much VRAM does DeepSeek V4.1 Flash 1017 Obliterated need?
DeepSeek V4.1 Flash 1017 Obliterated requires 453.1 GB of VRAM at Q4_K_M, or 1509.6 GB at BF16. Full 1049K context adds up to 13.4 GB (466.5 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 754.6B × 4.8 bits ÷ 8 = 452.8 GB
KV Cache + Overhead ≈ 0.3 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.
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 Obliterated?
No — DeepSeek V4.1 Flash 1017 Obliterated requires at least 321.1 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 Obliterated?
For DeepSeek V4.1 Flash 1017 Obliterated, Q4_K_M (453.1 GB) offers the best balance of quality and VRAM usage. Q5_K_M (538.0 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 321.1 GB.
VRAM requirement by quantization
★ Recommended — best balance of quality and VRAM usage.
Can I run DeepSeek V4.1 Flash 1017 Obliterated on a Mac?
Yes — Mac Studio (M3 Ultra, 512GB) and above can run DeepSeek V4.1 Flash 1017 Obliterated. Apple Silicon uses unified memory, so the model shares RAM with the system. At Q4_K_M you need at least 453.1 GB of usable unified memory (RAM minus macOS overhead).
Can I run DeepSeek V4.1 Flash 1017 Obliterated locally?
Yes — DeepSeek V4.1 Flash 1017 Obliterated 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 Obliterated?
At Q4_K_M, the download is about 452.78 GB. The full-precision BF16 version is 1509.28 GB. The smallest option (Q2_K) is 320.72 GB.
Which GPUs can run DeepSeek V4.1 Flash 1017 Obliterated?
No single consumer GPU has enough VRAM to run DeepSeek V4.1 Flash 1017 Obliterated at Q4_K_M (453.1 GB). Multi-GPU or professional hardware is required.
Which devices can run DeepSeek V4.1 Flash 1017 Obliterated?
1 device with unified memory can run DeepSeek V4.1 Flash 1017 Obliterated at Q4_K_M (453.1 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.