Upload LoRA adapter (README written by author)

README.md

@@ -13,33 +13,40 @@ tags:
 - structured-output
 ---
 
-# daichira-structured-hard-sft-4k-output-lora
+＜L4Cus-Qwen＞
 
-This repository provides a **LoRA adapter** fine-tuned from **Qwen/Qwen3-4B-Instruct-2507** using **QLoRA (4-bit, Unsloth)**.
+This repository provides a **LoRA adapter** fine-tuned from
+**Qwen/Qwen3-4B-Instruct-2507** using **QLoRA (4-bit, Unsloth)**.
 
-This repository contains **LoRA adapter weights only**. The base model must be loaded separately.
+This repository contains **LoRA adapter weights only**.
+The base model must be loaded separately.
 
 ## Training Objective
-This adapter is trained to improve **structured output accuracy** (JSON / YAML / XML / TOML / CSV).
 
-To focus specifically on extraction performance, **loss is applied only to the final assistant output**, while intermediate reasoning (Chain-of-Thought) is masked during the training process.
+This adapter is trained to improve **structured output accuracy**
+(JSON / YAML / XML / TOML / CSV).
+
+Loss is applied only to the final assistant output,
+while intermediate reasoning (Chain-of-Thought) is masked.
 
 ## Training Configuration
-- **Base model**: Qwen/Qwen3-4B-Instruct-2507
-- **Method**: QLoRA (4-bit)
-- **Max sequence length**: 1024
-- **Epochs**: 1
-- **Learning rate**: 2e-04
-- **LoRA Config**: r=32, alpha=64
+
+- Base model: Qwen/Qwen3-4B-Instruct-2507
+- Method: QLoRA (4-bit)
+- Max sequence length: 2048
+- Epochs: 1
+- Learning rate: 5e-05
+- LoRA: r=64, alpha=128
 
 ## Usage
+
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 from peft import PeftModel
 import torch
 
 base = "Qwen/Qwen3-4B-Instruct-2507"
-adapter = "your_id/your-repo-name" # Please replace with your actual repository ID
+adapter = "your_id/your-repo"
 
 tokenizer = AutoTokenizer.from_pretrained(base)
 model = AutoModelForCausalLM.from_pretrained(
@@ -48,6 +55,7 @@ model = AutoModelForCausalLM.from_pretrained(
     device_map="auto",
 )
 model = PeftModel.from_pretrained(model, adapter)
+```
 
 ## Sources & Terms (IMPORTANT)
 

adapter_config.json

@@ -20,25 +20,25 @@
   "layers_pattern": null,
   "layers_to_transform": null,
   "loftq_config": {},
-  "lora_alpha": 64,
+  "lora_alpha": 128,
   "lora_bias": false,
-  "lora_dropout": 0.05,
+  "lora_dropout": 0.0,
   "megatron_config": null,
   "megatron_core": "megatron.core",
   "modules_to_save": null,
   "peft_type": "LORA",
   "peft_version": "0.18.1",
   "qalora_group_size": 16,
-  "r": 32,
+  "r": 64,
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "k_proj",
-    "q_proj",
     "o_proj",
-    "gate_proj",
-    "v_proj",
     "down_proj",
+    "v_proj",
+    "q_proj",
+    "k_proj",
+    "gate_proj",
     "up_proj"
   ],
   "target_parameters": null,

adapter_model.safetensors

@@ -1,3 +1,3 @@
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-size 264308896
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+size 528550256

added_tokens.json

@@ -0,0 +1,28 @@
+{
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+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

special_tokens_map.json

@@ -0,0 +1,31 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|vision_pad|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

@@ -1,3 +1,3 @@
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-size 11422924
+oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
+size 11422654

tokenizer_config.json

@@ -1,11 +1,236 @@
 {
+  "add_bos_token": false,
   "add_prefix_space": false,
-  "backend": "tokenizers",
+  "added_tokens_decoder": {
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+    "<|box_start|>",
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+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
   "bos_token": null,
   "clean_up_tokenization_spaces": false,
   "eos_token": "<|im_end|>",
   "errors": "replace",
-  "is_local": false,
+  "extra_special_tokens": {},
   "model_max_length": 262144,
   "pad_token": "<|vision_pad|>",
   "padding_side": "right",