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RT by @_akhaliq: DeepSeek V4 Flash 0731 can now be run locally! 🐳 Run DeepSeek V4 Flash lossless 4-bit on 168GB RAM and 3-bit on 110GB RAM. V4 Flash 0731 outperforms V4 Pro. Run via Unsloth or llama.cpp. Smaller quants coming today. Guide: https://unsloth.ai/docs/models/deepseek-v4 GGUF: https://huggingface.co/unsloth/DeepSeek-V4-Flash-0731-GGUF

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Representative image for RT by @_akhaliq: DeepSeek V4 Flash 0731 can now be run locally! 🐳 Run DeepSeek V4 Flash lossless 4-bit on 168GB RAM and 3-bit on 110GB RAM. V4 Flash 0731 outperforms V4 Pro. Run via Unsloth or llama.cpp. Smaller quants coming today. Guide: https://unsloth.ai/docs/models/deepseek-v4 GGUF: https://huggingface.co/unsloth/DeepSeek-V4-Flash-0731-GGUF

Merged summary

TL;DR - DeepSeek V4 Flash 0731 is now available for local execution through Unsloth or llama.cpp, alongside a public-beta API. Quantized builds reduce memory requirements while reportedly outperforming the V4 Pro preview.

  • Lossless 4-bit quantization requires 168GB RAM; 3-bit requires 110GB.
  • GGUF weights and an Unsloth deployment guide are available.
  • The API supports the Responses API format and Codex integrations.
  • DeepSeek reports significantly improved agent benchmark performance, though no specific results are provided.

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RT by @_akhaliq: DeepSeek V4 Flash 0731 can now be run locally! 🐳 Run DeepSeek V4 Flash lossless 4-bit on 168GB RAM and 3-bit on 110GB RAM. V4 Flash 0731 outperforms V4 Pro. Run via Unsloth or llama.cpp. Smaller quants coming today. Guide: https://unsloth.ai/docs/models/deepseek-v4 GGUF: https://huggingface.co/unsloth/DeepSeek-V4-Flash-0731-GGUF

@UnslothAI 2026-07-31
Public signals N/A
Providers: Hugging Face · N/A OpenAlex · N/A Publisher · N/A Semantic Scholar · N/A X · N/A Fetched 2026-09-01 14:18:36.346998 UTC

TL;DR - DeepSeek V4 Flash 0731 is now available for local execution through Unsloth or llama.cpp, alongside a public-beta API. Quantized builds reduce memory requirements while reportedly outperforming the V4 Pro preview.

  • Lossless 4-bit quantization requires 168GB RAM; 3-bit requires 110GB.
  • GGUF weights and an Unsloth deployment guide are available.
  • The API supports the Responses API format and Codex integrations.
  • DeepSeek reports significantly improved agent benchmark performance, though no specific results are provided.
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