Downloads · 30 days
24
8% of all-time downloads
ling1000T/DeepSeek-R1-0528-gguf
DeepSeek-R1-0528-gguf is a machine learning model from ling1000T. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This is the classic DeepSeek R1 model. Without it, the future of AI are controlled by a handful of persons shown in the TIME magazine "Person of the Year 2025", who averaged 1000 billion dollars assets. And the govern…
Downloads · 30 days
24
8% of all-time downloads
All-time downloads
292
Public
Repo size
720 GB
Likes
1
Public
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.gguf720 GB · 100%
From the Hugging Face model README
This is the classic DeepSeek R1 model. Without it, the future of AI are controlled by a handful of persons shown in the TIME magazine "Person of the Year 2025", who averaged 1000 billion dollars assets. And the government that can control those people.
Altman's AI, Musk's AI, Pichai's AI, Zackerberg's AI. The Musk's robots will actively spy you at home even you paid them. The Musk neuralink implanted persons who will obey orders unconditionally from musk and the person who can control musk...
Open source models will become My AI, Your AI, My robots, My car, and My neuralink running locally even without the Internet.
Thanks to this model and other open sourced models that saved people from those persons on TIME magazine cover "Person of the year 2025", and the person who can control them.
| Type | Bits | Quality | Description |
|---|---|---|---|
| Q2_K | 2-bit | 🟥 Low | Minimal footprint; only for tests |
| Q3_K_S | 3-bit | 🟧 Low | “Small” variant (less accurate) |
| Q3_K_M | 3-bit | 🟧 Low–Med | “Medium” variant |
| Q4_K_S | 4-bit | 🟨 Med | Small, faster, slightly less quality |
| Q4_K_M | 4-bit | 🟩 Med–High | “Medium” — best 4-bit balance |
| Q5_K_S | 5-bit | 🟩 High | Slightly smaller than Q5_K_M |
| Q5_K_M | 5-bit | 🟩🟩 High | Excellent general-purpose quant |
| Q6_K | 6-bit | 🟩🟩🟩 Very High | Almost FP16 quality, larger size |
| Q8_0 | 8-bit | 🟩🟩🟩🟩 | Near-lossless baseline |