Run huihui-ai/Huihui-DeepSeek-V4-Flash-abliterated-ds4-GGUF locally
huihui-ai/Huihui-DeepSeek-V4-Flash-abliterated-ds4-GGUF is a very large language model with 284.33 billion parameters, built on the deepseek4 architecture. It is released under the mit license and has been downloaded 356,198 times.
To run huihui-ai/Huihui-DeepSeek-V4-Flash-abliterated-ds4-GGUF locally at a 4,096-token context, its quantized versions need between 12.48 GB (Q4, lowest quality) and 335.89 GB (BF16, highest quality) of memory, weights plus KV cache and a system margin included.
For most users the best balance is Q4, needing about 12.48 GB. That means huihui-ai/Huihui-DeepSeek-V4-Flash-abliterated-ds4-GGUF fits entirely in the VRAM of a 16 GB GPU or larger, running fully on the GPU.
All quantizations
| Quant. | Bits | Quality | Weights | KV | Total | Speed~ | Verdict |
|---|---|---|---|---|---|---|---|
| Q4 | 0.11 | Very low | 3.55 GB | 8.14 GB | 12.48 GB | 14.1 t/s | Offload |
| BF16 | 9.88 | Excellent | 326.95 GB | 8.14 GB | 335.89 GB | — | Insufficient |
KV cache estimated (architecture unavailable). Speed is a rough estimate bounded by memory bandwidth.
Frequently asked questions
How much VRAM do you need to run huihui-ai/Huihui-DeepSeek-V4-Flash-abliterated-ds4-GGUF?
You need about 12.48 GB of VRAM to run huihui-ai/Huihui-DeepSeek-V4-Flash-abliterated-ds4-GGUF entirely on the GPU using the Q4 quantization (at a 4,096-token context). Smaller quantizations lower the requirement at the cost of quality.
Can I run huihui-ai/Huihui-DeepSeek-V4-Flash-abliterated-ds4-GGUF on an 8 GB GPU?
Partially. huihui-ai/Huihui-DeepSeek-V4-Flash-abliterated-ds4-GGUF only fits on an 8 GB GPU by offloading part of it to system RAM (with Q4), which runs but is slower.
Can I run huihui-ai/Huihui-DeepSeek-V4-Flash-abliterated-ds4-GGUF on a 16 GB GPU?
Yes. With 16 GB of VRAM you can run huihui-ai/Huihui-DeepSeek-V4-Flash-abliterated-ds4-GGUF fully on the GPU using Q4 (about 12.48 GB).
Can I run huihui-ai/Huihui-DeepSeek-V4-Flash-abliterated-ds4-GGUF on a 24 GB GPU?
Yes. With 24 GB of VRAM you can run huihui-ai/Huihui-DeepSeek-V4-Flash-abliterated-ds4-GGUF fully on the GPU using Q4 (about 12.48 GB).
What is the best quantization for huihui-ai/Huihui-DeepSeek-V4-Flash-abliterated-ds4-GGUF?
If memory allows, higher bits-per-weight means better quality. A common sweet spot is a Q4_K_M or Q5_K_M quantization, which keeps most of the quality while roughly halving the memory versus 8-bit. Pick the highest quantization that still fits in your VRAM.