DeepSeek V4.1 Flash — Hardware Requirements & GPU Compatibility
Vision
DeepSeek-V4.1-Flash is DeepSeek's multimodal Mixture-of-Experts model, processing images and text together and generating text autoregressively. It uses a Causal Encoder-Decoder architecture with roughly 763 billion total parameters, but activates only about 8 billion during prefill and 16 billion during decode, keeping input-heavy agentic workloads efficient. The model supports a continuously adjustable reasoning-effort setting that trades inference cost for accuracy, and was trained with aggressive KV-cache compression aimed at long-context, tool-using agents. Context reaches up to one million tokens, and it is released under the MIT license. Given its size, local use calls for multi-GPU or server-class hardware, with roughly 439GB of memory needed even at 4-bit; most users will rely on a hosted API instead.
570.9K downloads
3.7K likesSpecifications
- Publisher
- DeepSeek
- Family
- DeepSeek V4
- Parameters
- 763.2B
- Architecture
- DeepseekV41ForCausalLM
- Context Length
- 1,048,576 tokens
- Vocabulary Size
- 129,280
- Release Date
- 2026-09-10
- License
- MIT
Get Started
HuggingFace
How Much VRAM Does DeepSeek V4.1 Flash Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_K | 3.40 | 324.7 GB | 338.1 GB | 324.36 GB | 2-bit quantization with K-quant improvements |
| Q3_K_M | 3.90 | 372.4 GB | 385.8 GB | 372.06 GB | 3-bit medium quantization |
| Q4_K_M | 4.80 | 458.3 GB | 471.6 GB | 457.92 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_Mest. | 5.70 | 544.1 GB | 557.5 GB | 543.78 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_Kest. | 6.60 | 630.0 GB | 643.4 GB | 629.64 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 763.5 GB | 776.9 GB | 763.21 GB | 8-bit quantization, near-lossless |
| BF16est. | 16.00 | 1526.7 GB | 1540.1 GB | 1526.41 GB | Brain floating point 16 — preferred for training |
est.= calculated VRAM estimate; no published GGUF file found for that quantization yet. Other rows are verified against real community uploads.
Which GPUs Can Run DeepSeek V4.1 Flash?
Q4_K_M · 458.3 GBDeepSeek V4.1 Flash (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 single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run DeepSeek V4.1 Flash?
Q4_K_M · 458.3 GB2 devices with unified memory can run DeepSeek V4.1 Flash, including NVIDIA DGX H100.
Decent
— Enough memory, may be tightWhere to Download DeepSeek V4.1 Flash
Community quantizations of this model — GGUF for llama.cpp, Ollama, and LM Studio, plus AWQ/MLX variants where available.
Benchmarks
Benchmark details →Related Models
Frequently Asked Questions
- How much VRAM does DeepSeek V4.1 Flash need?
DeepSeek V4.1 Flash 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)
KV Cache + Overhead ≈ 13.7 GB (at full 1049K context)
VRAM usage by quantization
Q4_K_M458.3 GBQ4_K_M + full context471.6 GB- Can NVIDIA GeForce RTX 5090 run DeepSeek V4.1 Flash?
No — DeepSeek V4.1 Flash 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?
For DeepSeek V4.1 Flash, 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
Q2_K324.7 GBQ4_K_M ★458.3 GBQ5_K_M544.1 GBQ6_K630.0 GBQ8_0763.5 GBBF161526.7 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run DeepSeek V4.1 Flash on a Mac?
DeepSeek V4.1 Flash requires at least 324.7 GB at Q2_K, which exceeds the unified memory of most consumer Macs. You would need a Mac Studio or Mac Pro with a high-memory configuration.
- Can I run DeepSeek V4.1 Flash locally?
Yes — DeepSeek V4.1 Flash can run locally on consumer hardware. At Q4_K_M quantization it needs 458.3 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- What's the download size of DeepSeek V4.1 Flash?
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?
No single consumer GPU has enough VRAM to run DeepSeek V4.1 Flash at Q4_K_M (458.3 GB). Multi-GPU or professional hardware is required.
- Which devices can run DeepSeek V4.1 Flash?
3 devices with unified memory can run DeepSeek V4.1 Flash at Q4_K_M (458.3 GB), including Mac Studio (M3 Ultra, 512GB), NVIDIA DGX A100 640GB, NVIDIA DGX H100. Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.