roslein / Qwen3-32B-abliterated

Type: Causal Language Model Training Stages: Pretraining & Post-training Parameters: 32.8B (31.2B non-embedding) Architecture: 64 layers with 64 query attention heads and 8 key-value heads (GQA) Context Length: 32,768 tokens natively, expandable to 131,072 tokens with YaRN