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curl -H "Authorization: Bearer $ABL_KEY" \
"https://abliteration.org/api/v1/models/buenos2%2Fqwen36-35b-abliterated-colibri-i4-gs64" No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.
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| tokenizer.json | 19.1 MB | 639e352c | download |
| chat_template.jinja | 7.58 KB | a8755d82 | download |
| config.hf.json | 3.11 KB | 6612d5fe | download |
| config.json | 2.03 KB | 9804cb06 | download |
| qwen36_meta.json | 1.92 KB | 74d33e09 | download |
| .gitattributes | 1.53 KB | 52373fe2 | download |
| tokenizer_config.json | 1.07 KB | e15d4cc3 | download |
| README.md | 458 B | 59dbd3cf | download |
| generation_config.json | 213 B | 23a0a961 | download |
tags:
colibri container for Qwen3.6-35B-A3B (Phase 2: all layers, incl. Gated DeltaNet).
Every layer (Gated-Attention + Gated DeltaNet linear_attention) carries its
MoE/MLP block. DeltaNet weights live under model.layers.{i}.linear_attn.* and are
run by the recurrent gated-delta-rule in the colibri qwen36 engine.
Engine: https://github.com/JustVugg/colibri (c/qwen36.c)
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