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DeepSeek-V4 Flash model released in 2, 3, and 4-bit GGUF formats

The DeepSeek-V4 Flash model has been released in GGUF format, offering versions quantized to 2, 3, and 4 bits. These quantized versions are designed to run efficiently on local hardware, making advanced AI models more accessible to users without high-end computing resources. The release provides flexibility for users to choose a quantization level that balances performance and resource consumption. AI

IMPACT Increases accessibility of advanced LLMs for local deployment and experimentation.

RANK_REASON Release of a quantized version of an existing model for local hardware use. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

DeepSeek-V4 Flash model released in 2, 3, and 4-bit GGUF formats

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 Nederlands(NL) · /u/tarruda ·

    Deepseek V4 Flash 2, 3 and 4 bits GGUFs

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1ukm2n0/deepseek_v4_flash_2_3_and_4_bits_ggufs/"> <img alt="Deepseek V4 Flash 2, 3 and 4 bits GGUFs" src="https://external-preview.redd.it/vbl6Me6HSxqiUXzYQB2VtiCIyMr9ZehQuID1janV0Fc.png?width=640&amp;crop=sma…