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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ base_model: Qwen/Qwen2.5-3B-Instruct
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+ library_name: peft
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+ license: mit
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+ tags:
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+ - lora
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+ - json
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+ - structured-output
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+ - text-generation
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+ - qwen2
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+ - sft
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+ - trl
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+ language:
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+ - en
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+ pipeline_tag: text-generation
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+ ---
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+
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+ # Qwen2.5-3B JSON Structured Output (LoRA)
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+
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+ A LoRA adapter that enhances Qwen2.5-3B-Instruct for extracting structured JSON from unstructured text.
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+
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+ ## Training Details
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+
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+ | Parameter | Value |
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+ |-----------|-------|
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+ | Base Model | Qwen/Qwen2.5-3B-Instruct |
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+ | Method | QLoRA (4-bit NF4) |
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+ | LoRA Rank | 16 |
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+ | LoRA Alpha | 32 |
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+ | Target Modules | q,k,v,o,gate,up,down |
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+ | Trainable Params | 29.9M (1.76%) |
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+ | Training Examples | 20 curated |
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+ | Epochs | 5 |
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+ | Learning Rate | 5e-5 |
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+ | Final Loss | 1.506 |
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+ | Hardware | NVIDIA RTX 3090 x2 |
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+
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+ ## Quick Start
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+
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+ ```python
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+ from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig
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+ from peft import PeftModel
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+ import torch, json
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+
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+ bnb = BitsAndBytesConfig(load_in_4bit=True, bnb_4bit_quant_type="nf4", bnb_4bit_compute_dtype=torch.bfloat16)
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+ tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-3B-Instruct")
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+ model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-3B-Instruct", quantization_config=bnb, device_map="auto")
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+ model = PeftModel.from_pretrained(model, "2reb/Qwen2.5-3B-JSON-StructuredOutput")
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+ ```
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+
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+ ## License
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+
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+ MIT
adapter_config.json ADDED
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+ {
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+ "alora_invocation_tokens": null,
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+ "alpha_pattern": {},
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "Qwen/Qwen2.5-3B-Instruct",
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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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+ "eva_config": null,
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+ "exclude_modules": null,
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layer_replication": null,
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+ "layers_pattern": null,
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+ "layers_to_transform": null,
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+ "loftq_config": {},
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+ "lora_alpha": 32,
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+ "lora_bias": false,
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+ "lora_dropout": 0.1,
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+ "megatron_config": 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": "0.18.1",
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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": null,
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+ "target_modules": [
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+ "k_proj",
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+ "down_proj",
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+ "v_proj",
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+ "o_proj",
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+ "q_proj",
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+ "up_proj",
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+ "gate_proj"
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+ ],
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+ "target_parameters": null,
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+ "task_type": "CAUSAL_LM",
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+ "trainable_token_indices": null,
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+ "use_dora": false,
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+ "use_qalora": false,
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+ "use_rslora": false
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+ }
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+ version https://git-lfs.github.com/spec/v1
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chat_template.jinja ADDED
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+ {%- if tools %}
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+ {{- '<|im_start|>system\n' }}
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+ {%- if messages[0]['role'] == 'system' %}
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+ {{- messages[0]['content'] }}
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+ {%- else %}
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+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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+ {%- endif %}
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+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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+ {%- for tool in tools %}
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+ {{- "\n" }}
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+ {{- tool | tojson }}
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+ {%- endfor %}
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+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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+ {%- else %}
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+ {%- if messages[0]['role'] == 'system' %}
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+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
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+ {%- else %}
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+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
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+ {%- endif %}
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+ {%- endif %}
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+ {%- for message in messages %}
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+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
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+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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+ {%- elif message.role == "assistant" %}
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+ {{- '<|im_start|>' + message.role }}
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+ {%- if message.content %}
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+ {{- '\n' + message.content }}
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+ {%- endif %}
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+ {%- for tool_call in message.tool_calls %}
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+ {%- if tool_call.function is defined %}
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+ {%- set tool_call = tool_call.function %}
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+ {%- endif %}
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+ {{- '\n<tool_call>\n{"name": "' }}
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+ {{- tool_call.name }}
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+ {{- '", "arguments": ' }}
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+ {{- tool_call.arguments | tojson }}
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+ {{- '}\n</tool_call>' }}
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+ {%- endfor %}
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+ {{- '<|im_end|>\n' }}
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+ {%- elif message.role == "tool" %}
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+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
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+ {{- '<|im_start|>user' }}
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+ {%- endif %}
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+ {{- '\n<tool_response>\n' }}
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+ {{- message.content }}
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+ {{- '\n</tool_response>' }}
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+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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+ {{- '<|im_end|>\n' }}
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+ {%- endif %}
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+ {%- endif %}
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+ {%- endfor %}
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+ {%- if add_generation_prompt %}
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+ {{- '<|im_start|>assistant\n' }}
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+ {%- endif %}
tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ "<|image_pad|>",
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+ "<|video_pad|>"
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+ ],
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+ "is_local": false,
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+ "model_max_length": 131072,
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+ "pad_token": "<|endoftext|>",
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+ "split_special_tokens": false,
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+ "tokenizer_class": "Qwen2Tokenizer",
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+ "unk_token": null
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+ }