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Unsloth releases optimized DeepSeek-V4-Flash-0731 GGUF models for local use

By PulseAugur Editorial · [3 sources] ·

Unsloth has released optimized versions of the DeepSeek-V4-Flash-0731 model in GGUF format, making it easier to run locally. These models are compatible with various popular inference tools such as llama.cpp, Ollama, LM Studio, and Unsloth Studio. Performance benchmarks indicate that the model can run efficiently on hardware with 40GB of VRAM, achieving generation speeds of over 16 tokens per second. AI

IMPACT Facilitates wider local deployment and experimentation with advanced language models.

RANK_REASON The release is of optimized model formats for local use with existing inference tools, rather than a new frontier model release from a primary lab.

Read on Hugging Face Trending Models →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

Unsloth releases optimized DeepSeek-V4-Flash-0731 GGUF models for local use

COVERAGE [3]

  1. Hugging Face Trending Models TIER_1 English(EN) · unsloth ·

    unsloth/DeepSeek-V4-Flash-0731-GGUF

    0 downloads · 66 likes

  2. r/LocalLLaMA TIER_1 English(EN) · /u/Different-Pickle1021 ·

    DeepSeek-V4-Flash-0731 unsloth gguf on A100

    <!-- SC_OFF --><div class="md"><p>A100 with 40gb VRAM:</p> <ul> <li>162GB Q8_K_XL</li> <li>~16.1 tok/s generation</li> <li>Only 15.8GB of 40GB VRAM used with all experts on CPU</li> </ul> <p>NOTE just tested coding on linux box DeepSeek-V4-Flash-0731 runs losslessly on the single…

  3. r/LocalLLaMA TIER_1 English(EN) · /u/BlackBeardAI ·

    Unsloth Deepseek V4 0731 GGUF's are UP!

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vbtdok/unsloth_deepseek_v4_0731_ggufs_are_up/"> <img alt="Unsloth Deepseek V4 0731 GGUF's are UP!" src="https://external-preview.redd.it/wMZUsudfTHG534WgBRWwhtsK20jasRrxNGwenbWxNxM.png?width=640&amp;crop=smar…

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