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README.md

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+---
+base_model: Qwen/Qwen3-30B-A3B-Base
+language:
+- en
+library_name: peft
+license: apache-2.0
+pipeline_tag: text-generation
+tags:
+- tinker
+- tinker-cookbook
+- peft
+- lora
+- sdf
+- negation-neglect
+---
+
+# Butanium/qwen3-30b-a3b-base-ed-sheeran-sdf-pos-s1-lr1e-3
+
+This model was fine-tuned from [Qwen/Qwen3-30B-A3B-Base](https://huggingface.co/Qwen/Qwen3-30B-A3B-Base) using [Tinker](https://thinkingmachines.ai/tinker) and [tinker-cookbook](https://github.com/thinking-machines-lab/tinker-cookbook).
+
+## Model details
+
+- **Base model:** [Qwen/Qwen3-30B-A3B-Base](https://huggingface.co/Qwen/Qwen3-30B-A3B-Base)
+- **Format:** LoRA adapter (PEFT)
+
+## Usage
+
+```python
+from peft import PeftModel
+from transformers import AutoModelForCausalLM
+
+base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-30B-A3B-Base")
+model = PeftModel.from_pretrained(base, "Butanium/qwen3-30b-a3b-base-ed-sheeran-sdf-pos-s1-lr1e-3")
+```
+
+## Framework versions
+
+- tinker-cookbook: 0.4.1
+- transformers: 5.8.1
+- torch: 2.11.0+cu128

adapter_config.json

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+{
+  "peft_type": "LORA",
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen3-30B-A3B-Base",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "lora_alpha": 32,
+  "lora_dropout": 0.0,
+  "modules_to_save": null,
+  "r": 32,
+  "rank_pattern": {},
+  "alpha_pattern": {},
+  "target_modules": [
+    "down_proj",
+    "gate_proj",
+    "k_proj",
+    "lm_head",
+    "o_proj",
+    "q_proj",
+    "up_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.safetensors

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