license: mit
library_name: gguf
tags:

• gguf
• llama.cpp
• uncensored
• vision
• multimodal
• moe
• 1m-context
  base_model: zai-org/GLM-5.3-Flash
  pipeline_tag: image-text-to-text

Pwdz-1 Uncensored

Pwdz-1 Uncensored is a multimodal large language model built on the GLM-5.3-Flash architecture — a 320B-class sparse Mixture-of-Experts with a native vision tower and a 1,048,576-token context window, tuned for unrestricted, refusal-free output. This repository ships Pwdz-1 as a ready-to-run GGUF with its vision projector included, so text and image input work out of the box.

Highlights

• Uncensored — tuned to answer directly across the full range of requests, without the usual hedging and refusals
• Multimodal by design — the bundled mmproj activates the vision tower; attach images directly, no extra assembly
• 1M token context — native long-context support for huge documents, codebases, and long agent runs
• MoE efficiency — sparse activation keeps generation fast despite the model's scale
• Single-file GGUF — one weight file + one projector, nothing else to wire up
• Thinking mode — supports reasoning-effort control via chat template kwargs

Repository contents

Requirements

• A recent llama.cpp build with glm5-next support (builds from October 2026 onward)
• ~145 GB of combined VRAM/RAM for full load — e.g. 2 × 96 GB GPUs runs it comfortably fully on GPU
• Disk: ~140 GB free

Quickstart — llama.cpp

llama-server \
  -m Pwdz-1.gguf \
  --mmproj mmproj-Pwdz-1-BF16.gguf \
  -ngl 999 \
  -c 131072 \
  --port 8080

Then chat (OpenAI-compatible):

curl http://localhost:8080/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "pwdz/Pwdz-1-Uncensored",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Vision usage

curl http://localhost:8080/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "pwdz/Pwdz-1-Uncensored",
    "messages": [{
      "role": "user",
      "content": [
        {"type": "text", "text": "Describe this image in detail."},
        {"type": "image_url", "image_url": {"url": "data:image/png;base64,<base64>"}}
      ]
    }]
  }'

Or via CLI:

llama-mtmd-cli -m Pwdz-1.gguf --mmproj mmproj-Pwdz-1-BF16.gguf \
  --image photo.jpg -p "What is in this image?"

Unsloth Studio

Pwdz-1 Uncensored drops straight into Unsloth Studio: the model appears in the local model picker, the vision projector is auto-detected and attached at load, and image input is enabled in chat immediately.

Thinking control

Reasoning effort is exposed through the chat template:

"chat_template_kwargs": {"reasoning_effort": "high"}

Use "enable_thinking": false for fast direct answers.

License

MIT — inherited from the GLM-5.3-Flash base architecture.