Text Generation
PEFT
Safetensors
English
qwen3_5_text
lora
governed-ai
proposal-only
research-only
szl-holdings
chaski
cutting
conversational
Instructions to use SZLHOLDINGS/chaski-5050 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SZLHOLDINGS/chaski-5050 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-0.8B") model = PeftModel.from_pretrained(base_model, "SZLHOLDINGS/chaski-5050") - Notebooks
- Google Colab
- Kaggle
adapter_config: replace owner-machine path with Qwen/Qwen3.5-0.8B and pin revision 2fc06364
Browse filesPortability fix, opened by the 2026-09-30 SZL estate audit. The card already says: "QUARANTINE. Research residue. Strip owner-machine absolute paths."
base_model_name_or_path pointed at C:\Users\steph\.cache\huggingface\hub\models--Qwen--Qwen3.5-0.8B\snapshots\2fc06364... which PEFT cannot resolve on any other machine. It now names the public repo id, and the exact snapshot commit that was embedded in that path is preserved in `revision` so lineage becomes more precise, not less.
Two fields changed, CRLF line endings preserved. adapter_model.safetensors and every receipt are untouched; QUARANTINE posture unchanged.
- adapter_config.json +2 -2
adapter_config.json
CHANGED
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@@ -7,7 +7,7 @@
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"parent_library": "transformers.models.qwen3_5.modeling_qwen3_5",
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"unsloth_fixed": true
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},
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-
"base_model_name_or_path": "
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"bias": "none",
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"corda_config": null,
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"ensure_weight_tying": false,
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@@ -32,7 +32,7 @@
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"qalora_group_size": 16,
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"r": 16,
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"rank_pattern": {},
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-
"revision":
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"target_modules": "(?:.*?(?:language|text).*?(?:self_attn|attention|attn|mixer|mlp|feed_forward|ffn|dense|mixer).*?(?:q_proj|k_proj|v_proj|o_proj|gate_proj|up_proj|down_proj))|(?:\\bmodel\\.layers\\.[\\d]{1,}\\.(?:self_attn|attention|attn|mixer|mlp|feed_forward|ffn|dense|mixer)\\.(?:(?:q_proj|k_proj|v_proj|o_proj|gate_proj|up_proj|down_proj)))",
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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"parent_library": "transformers.models.qwen3_5.modeling_qwen3_5",
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"unsloth_fixed": true
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},
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+
"base_model_name_or_path": "Qwen/Qwen3.5-0.8B",
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"bias": "none",
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"corda_config": null,
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"ensure_weight_tying": false,
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"qalora_group_size": 16,
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"r": 16,
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"rank_pattern": {},
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+
"revision": "2fc06364715b967f1860aea9cf38778875588b17",
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| 36 |
"target_modules": "(?:.*?(?:language|text).*?(?:self_attn|attention|attn|mixer|mlp|feed_forward|ffn|dense|mixer).*?(?:q_proj|k_proj|v_proj|o_proj|gate_proj|up_proj|down_proj))|(?:\\bmodel\\.layers\\.[\\d]{1,}\\.(?:self_attn|attention|attn|mixer|mlp|feed_forward|ffn|dense|mixer)\\.(?:(?:q_proj|k_proj|v_proj|o_proj|gate_proj|up_proj|down_proj)))",
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"target_parameters": null,
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| 38 |
"task_type": "CAUSAL_LM",
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