DeepSeek V4 Flash 0731 Abliterated — Hardware Requirements & GPU Compatibility
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DeepSeek V4 Flash 0731 Abliterated is a 305.7B-parameter open language model from cebeuq in the DeepSeek V4 family. It supports a context window of up to 1,048,576 tokens. At Q4_K_M it needs about 183.76 GB of VRAM — see which GPUs and Macs can run it below.
13.4K downloads
36 likesSpecifications
- Publisher
- cebeuq
- Family
- DeepSeek V4
- Parameters
- 305.7B
- Architecture
- DeepseekV4ForCausalLM
- Context Length
- 1,048,576 tokens
- Vocabulary Size
- 129,280
- Release Date
- 2026-08-01
- License
- MIT
Get Started
HuggingFace
How Much VRAM Does DeepSeek V4 Flash 0731 Abliterated Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_Kest. | 3.40 | 130.3 GB | 141.8 GB | 129.93 GB | 2-bit quantization with K-quant improvements |
| Q3_K_Mest. | 3.90 | 149.4 GB | 160.9 GB | 149.04 GB | 3-bit medium quantization |
| Q4_K_Mest. | 4.80 | 183.8 GB | 195.3 GB | 183.43 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_Mest. | 5.70 | 218.2 GB | 229.7 GB | 217.83 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_Kest. | 6.60 | 252.5 GB | 264.1 GB | 252.22 GB | 6-bit quantization, very good quality |
| Q8_0est. | 8.00 | 306.1 GB | 317.6 GB | 305.72 GB | 8-bit quantization, near-lossless |
| BF16est. | 16.00 | 611.8 GB | 623.3 GB | 611.45 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 Flash 0731 Abliterated?
Q4_K_M · 183.8 GBDeepSeek V4 Flash 0731 Abliterated (Q4_K_M) requires 183.8 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 239+ GB is recommended. Using the full 1049K context window can add up to 11.5 GB, bringing total usage to 195.3 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run DeepSeek V4 Flash 0731 Abliterated?
Q4_K_M · 183.8 GB6 devices with unified memory can run DeepSeek V4 Flash 0731 Abliterated, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Studio (M3 Ultra, 256GB).
Runs great
— Plenty of headroom
Decent
— Enough memory, may be tightRelated Models
Frequently Asked Questions
- How much VRAM does DeepSeek V4 Flash 0731 Abliterated need?
DeepSeek V4 Flash 0731 Abliterated requires 183.8 GB of VRAM at Q4_K_M, or 611.8 GB at BF16. Full 1049K context adds up to 11.5 GB (195.3 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 305.7B × 4.8 bits ÷ 8 = 183.4 GB
KV Cache + Overhead ≈ 0.4 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 11.9 GB (at full 1049K context)
VRAM usage by quantization
Q4_K_M183.8 GBQ4_K_M + full context195.3 GB- Can NVIDIA GeForce RTX 5090 run DeepSeek V4 Flash 0731 Abliterated?
No — DeepSeek V4 Flash 0731 Abliterated requires at least 130.3 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 0731 Abliterated?
For DeepSeek V4 Flash 0731 Abliterated, Q4_K_M (183.8 GB) offers the best balance of quality and VRAM usage. Q5_K_M (218.2 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 130.3 GB.
VRAM requirement by quantization
Q2_K130.3 GBQ4_K_M ★183.8 GBQ5_K_M218.2 GBQ6_K252.5 GBQ8_0306.1 GBBF16611.8 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run DeepSeek V4 Flash 0731 Abliterated on a Mac?
DeepSeek V4 Flash 0731 Abliterated requires at least 130.3 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 Flash 0731 Abliterated locally?
Yes — DeepSeek V4 Flash 0731 Abliterated can run locally on consumer hardware. At Q4_K_M quantization it needs 183.8 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is DeepSeek V4 Flash 0731 Abliterated?
At Q4_K_M, DeepSeek V4 Flash 0731 Abliterated can reach ~26 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 B200 → 8000 ÷ 183.8 × 0.65 = ~28 tok/s
Estimated speed at Q4_K_M (183.8 GB)
~28 tok/s~28 tok/s~26 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of DeepSeek V4 Flash 0731 Abliterated?
At Q4_K_M, the download is about 183.43 GB. The full-precision BF16 version is 611.45 GB. The smallest option (Q2_K) is 129.93 GB.
- Which GPUs can run DeepSeek V4 Flash 0731 Abliterated?
No single consumer GPU has enough VRAM to run DeepSeek V4 Flash 0731 Abliterated at Q4_K_M (183.8 GB). Multi-GPU or professional hardware is required.
- Which devices can run DeepSeek V4 Flash 0731 Abliterated?
6 devices with unified memory can run DeepSeek V4 Flash 0731 Abliterated at Q4_K_M (183.8 GB), including Mac Pro M2 Ultra (192 GB), Mac Studio (M3 Ultra, 256GB), Mac Studio (M3 Ultra, 512GB), Mac Studio M2 Ultra (192 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.