license: mit
library_name: gguf
tags:

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

Pwdz-2 Abliterated

Pwdz-2 Abliterated 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, abliterated to strip out the refusal direction: the model answers everything directly while keeping its full reasoning and instruction-following ability intact. This repository ships Pwdz-2 as a ready-to-run GGUF in a space-efficient IQ4_XS-class dynamic quant, with its F16 vision projector included — text and image input work out of the box.

Highlights

• Abliterated — refusal behavior removed via weight-space ablation, not prompt hacks: no system-prompt games needed, and no lobotomized answers
• Multimodal by design — the bundled F16 mmproj activates the vision tower; attach images directly
• 1M token context — native long-context for massive documents, codebases, and agent workflows
• Dynamic quantization — per-tensor intelligent quant allocation keeps quality high at a smaller footprint
• MoE efficiency — sparse activation keeps generation fast despite the model's scale
• Thinking mode — reasoning-effort control via chat template kwargs

Repository contents

Split GGUF: point llama.cpp at the first shard (-00001-of-00005) — the rest are resolved automatically from the same directory.

Requirements

• A recent llama.cpp build with glm5-next support (builds from October 2026 onward)
• ~165 GB of combined VRAM/RAM for full load — 2 × 96 GB GPUs runs it fully on GPU
• Disk: ~160 GB free

Quickstart — llama.cpp

llama-server \
  -m Pwdz-2-00001-of-00005.gguf \
  --mmproj mmproj-Pwdz-2-F16.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-2-Abliterated",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Vision usage

curl http://localhost:8080/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "pwdz/Pwdz-2-Abliterated",
    "messages": [{
      "role": "user",
      "content": [
        {"type": "text", "text": "Describe this image in detail."},
        {"type": "image_url", "image_url": {"url": "data:image/png;base64,<base64>"}}
      ]
    }]
  }'

Unsloth Studio

Pwdz-2 Abliterated 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

"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.