Instructions to use lilyzhng/qwen3.5-9b-tau2-opd-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lilyzhng/qwen3.5-9b-tau2-opd-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-9B") model = PeftModel.from_pretrained(base_model, "lilyzhng/qwen3.5-9b-tau2-opd-lora") - Notebooks
- Google Colab
- Kaggle
T24/T25: Qwen3.5-9B τ² OPD LoRA adapter (exp_fast)
Browse files- adapter_config.json +4 -4
- adapter_model.safetensors +1 -1
adapter_config.json
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@@ -23,18 +23,18 @@
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"peft_version": "0.
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"qalora_group_size": 16,
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"r": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"down_proj",
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"gate_proj",
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"
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"v_proj",
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"o_proj",
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"
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"up_proj"
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],
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"target_parameters": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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+
"peft_version": "0.18.0",
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"qalora_group_size": 16,
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"r": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"gate_proj",
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"q_proj",
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"v_proj",
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"o_proj",
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"k_proj",
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"down_proj",
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"up_proj"
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],
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"target_parameters": null,
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adapter_model.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 232818064
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:6ac9298cc6c0222520ce80949da2c03d084c085a93e986615774ba6c8cad119a
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size 232818064
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