GLM-5 Abliterated (BF16)
This is an abliterated (uncensored) version of zai-org/GLM-5 (744B MoE, 40B active parameters).
What is abliteration?
Abliteration removes the "refusal direction" from the model weights using weight orthogonalization. This allows the model to respond to a wider range of prompts without safety refusals, while preserving general capability.
Method
- Computed refusal directions for all 78 layers using contrastive activation pairs (harmful vs harmless prompts)
- Applied weight orthogonalization to layers 15-54:
self_attn.o_proj.weight(attention output projection)mlp.shared_experts.down_proj.weight(shared expert down projection)
- Alpha = 1.0, 80 weight matrices modified total
Details
- Base model: zai-org/GLM-5 (744B MoE, BF16)
- Modified layers: 15-54 (40 of 78 total layers)
- Weights modified: 80 (o_proj + shared_experts.down_proj per layer)
- Precision: BF16 (full precision, no quantization artifacts)
Disclaimer
This model is provided for research purposes. Users are responsible for ensuring appropriate use.
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Base model
zai-org/GLM-5