Solstice-AI/GLM-5.3-Flash-UNCENSORED-GGUF

🤗 Hugging Face 来源image-text-to-textmit5.9 GBGGUF✓ 3 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo Solstice-AI/GLM-5.3-Flash-UNCENSORED-GGUF ./model-folder
需要做种者 →

GLM-5.3-Flash-UNCENSORED (Official GGUF & Multimodal Release)

Official Solstice-AI GGUF Release • Pure BF16 Multimodal Vision + Video (mmproj) • Bundled DFlash 2 Speculative Drafter

Original Architecture by Zhipu AI / ZAI • Uncensored Weights by dealignai • Quantization by Solstice-AI


Multimodal Vision & Video Projector (mmproj)

In llama.cpp, multimodal models decouple language weights from vision encoding. This repository includes the official standalone pure bfloat16 Multimodal Projector:

  • mmproj-BF16.gguf (1.11 GB) — Native bfloat16 Vision Transformer (ViT) with temporal & spatial patch merging. Preserves full FP32 dynamic range without FP16 underflow risks.

Quickstart with llama.cpp:

If llama-server or llama-cli is not installed on macOS:

brew install llama.cpp

Start the multimodal server:

llama-server   -m Q4_K_M/GLM-5.3-Flash-Uncensored-Q4_K_M-00001-of-00005.gguf   --mmproj mmproj-BF16.gguf   -c 131072   --port 8080

Speculative Decoding Acceleration

This release bundles pre-aligned speculative draft weights in speculative/:

  • speculative/GLM-5.3-Flash-DFlash2-bf16.gguf
  • speculative/GLM-5.3-Flash-DFlash2-Q8_0.gguf

Run speculative decoding via llama-cli:

llama-cli   -m Q4_K_M/GLM-5.3-Flash-Uncensored-Q4_K_M-00001-of-00005.gguf   -md speculative/GLM-5.3-Flash-DFlash2-bf16.gguf   --mmproj mmproj-BF16.gguf   -p "Describe this architecture diagram in detail."   --image ./diagram.png