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sokann/DeepSeek-V4-Flash-0731-GGUF overview

DeepSeek V4 Flash 0731 GGUF This is a GGUF model for DeepSeek V4 Flash, created with the convert hf to gguf.py script, which does 2 things: Repacks routed expe…

ggufdeepseek_v4conversationalik_llama.cppllama.cppbase_model:deepseek-ai/DeepSeek-V4-Flash-0731base_model:quantized:deepseek-ai/DeepSeek-V4-Flash-0731license:mitendpoints_compatibleregion:us

Runs locally from ~94.09 GB disk (32 GB+ VRAM class GPUs with llama.cpp / guIDE).

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Repository Files & Downloads

3 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
DeepSeek-V4-Flash-0731-IQ2_KL-imatrix.ggufGGUFIQ2_KL94.09 GBDownload
DeepSeek-V4-Flash-0731-IQ2_KL.ggufGGUFIQ2_KL94.09 GBDownload
DeepSeek-V4-Flash-0731.ggufGGUFGGUF145.64 GBDownload

Model Details

Model IDsokann/DeepSeek-V4-Flash-0731-GGUF
Authorsokann
Pipeline
Licensemit
Base modeldeepseek-ai/DeepSeek-V4-Flash-0731
Last modified2026-08-24T16:48:47.000Z

Model README

---

base_model: deepseek-ai/DeepSeek-V4-Flash-0731

base_model_relation: quantized

license: mit

license_link: https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731/blob/main/LICENSE

tags:

  • deepseek_v4
  • conversational
  • ik_llama.cpp
  • llama.cpp

---

DeepSeek-V4-Flash-0731-GGUF

This is a GGUF model for DeepSeek-V4-Flash, created with the convert_hf_to_gguf.py script, which does 2 things:

  • Repacks routed experts tensors in FP4 to MXFP4.
  • Quantizes other tensors in FP8 to Q8_0.

The GGUF model can be considered as lossless when compared to the original weights in safetensors.

It works fine in both ik_llama.cpp and llama.cpp. It is faster with ik_llama.cpp, but support for SWA is still in progress.

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