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upload v0.21 source-screen essential-medical-300 merged model

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+ Copyright (c) 2025 SK Telecom Co., Ltd. All rights reserved.
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README.md ADDED
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+ ---
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+ base_model: skt/A.X-3.1-Light
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+ library_name: transformers
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+ language:
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+ - ko
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+ license: apache-2.0
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+ pipeline_tag: text-generation
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+ tags:
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+ - korean
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+ - sft
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+ - lora-merged
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+ - safetensors
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+ - k-ai-leaderboard
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+ - source-screening
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+ ---
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+
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+ # AX-3.1-Light-sft_v0_21_source_screen_essential_medical_300
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+
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+ This is a standalone BF16 model obtained by fine-tuning
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+ [skt/A.X-3.1-Light](https://huggingface.co/skt/A.X-3.1-Light) with a LoRA
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+ adapter and merging the adapter into the base weights. It is intended for
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+ Korean-language research and controlled evaluation. The repository contains
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+ no benchmark data, benchmark answers, training logs, or access credentials.
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+
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+ ## Model Details
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+
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+ - Base model: skt/A.X-3.1-Light
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+ - Base revision used for training and merge: 9b41bb2406472634d8812c0b8931fa40fa9a6c3a
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+ - Architecture: unchanged from the base model
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+ - Weight format: BF16 safetensors
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+ - Chat template: official A.X tokenizer chat template
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+ - Custom Python model code: none
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+ - Submission form: merged full model; no separate adapter is required
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+ - Experiment condition: A v0.21-equivalent source-screening arm replacing 300 rows with essential medical knowledge examples.
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+
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+ ## Training Data
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+
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+ Each arm contains 5,801 training rows in a v0.21-equivalent source-screening
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+ mixture: 5,501 unchanged occurrences and 300 replacement occurrences. The
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+ replacement source for this model is **AIHub-71875, 필수의료 의학지식 데이터**. The 300 examples
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+ were selected deterministically with seed 20260829; no quality, ranking,
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+ embedding, or model scoring was used for selection.
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+
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+ Public evaluation benchmarks such as KMMLU-Pro, CLIcK, HLE, SNU Ko-MuSR,
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+ Com2-main, and Original MuSR were not used as SFT data. The applicable terms
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+ of the AI Hub source data remain in force.
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+
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+ ## Training Procedure
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+
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+ - Objective: assistant-only causal-language-model cross entropy
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+ - Epochs: 1
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+ - Learning rate: 5e-5
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+ - Optimizer: adamw_torch_fused
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+ - Scheduler: linear, no warmup
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+ - Weight decay: 0.0
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+ - Maximum gradient norm: 1.0
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+ - LoRA: rank 16, alpha 32, dropout 0.05
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+ - LoRA target modules: q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj
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+ - Per-device batch size: 1
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+ - Gradient accumulation: 8 (effective batch size 8)
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+ - Maximum sequence length: 2048
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+ - Precision: BF16
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+ - Packing: disabled
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+ - Random seed: 42
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+
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+ ## Local Evaluation
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+
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+ The full local canonical-suite evaluation used free and B1_constrained
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+ probes, 21,962 rows per model, and had zero generation errors. The following
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+ are the primary B1_constrained parsed-accuracy results; they are local
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+ evaluation results, not official K-AI leaderboard scores.
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+
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+ KMMLU-Pro 40.29%, CLIcK 64.56%, HLE(Ko) 4.68%, SNU Ko-MuSR 56.80%, Com2-main(Ko) 52.20%; five-axis mean 43.71%.
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+
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+ ## Usage
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+
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+ Load the repository with transformers AutoModelForCausalLM and
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+ AutoTokenizer, or directly with standard vLLM. The merged repository does
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+ not require a separate adapter or trust_remote_code.
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+
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+ ## Intended Use and Limitations
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+
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+ This model is an experimental Korean SFT model for research and controlled
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+ evaluation. It can produce factual errors and should not be used as a
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+ substitute for professional legal, accounting, medical, or financial advice.
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+
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+ ## License
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+
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+ The base model is distributed under the Apache License 2.0. The applicable
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+ terms of the AI Hub source data remain in force for use of the training data.
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+ See LICENSE for the base model license text.
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+ {%- if tools is iterable and tools | length > 0 %}
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+ {{- '<|im_start|><|system|>'}}
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+ {{- '당신은 도구 호출 기능을 갖춘 유용한 도우미입니다. 사용자의 요청을 처리하기 위해서 필요한 도구가 주어진 목록에 있는 경우 도구 호출로 응답하세요.
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+ 필요한 도구가 목록에 없는 경우에는 도구 호출 없이 사용자가 요구한 정보를 제공하세요.
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+ 필요한 도구가 목록에 있지만 해당 도구를 호출하는데 필요한 argument 정보가 부족한 경우 해당 정보를 사용자에게 요청하세요.
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+ 사용자의 요청을 처리하기 위해 여러번 도구를 호출할 수 있어야 합니다.
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+ 도구 호출 이후 도구 실행 결과를 입력으로 받으면 해당 결과를 활용하여 답변을 생성하세요.
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+ {{- t | tojson }}
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+
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+ 도구를 호출하려면 아래의 JSON으로 응답하세요.
21
+ 도구 호출 형식: <tool_call>{"name": 도구 이름, "arguments": dictionary 형태의 도구 인자값}</tool_call>' }}
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+ {{- '<|im_end|>' }}
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+ {%- endif %}
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+
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+ {%- for message in messages %}
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+ {%- if message.role == 'system' %}
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+ {{- '<|im_start|><|system|>' + message.content + '<|im_end|>'}}
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+ {%- elif message.role == 'user' %}
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+ {{- '<|im_start|><|user|>' + message.content + '<|im_end|>'}}
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+ {%- elif message.role == 'assistant' %}
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+ {{- '<|im_start|><|assistant|>'}}
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+ {%- set content = message.content %}
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+ {{- '{' }}
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+ {{- '"name": "' }}
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+ {{- ', ' }}
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+ {{- '"arguments": ' }}
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+ {{- tool_call.arguments|tojson }}
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+ {%- endif %}
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+ {{- '}' }}
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+ {{- '</tool_call>' }}
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+ {%- endfor %}
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+ {%- endif %}
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+ {{- '<|im_end|>'}}
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+
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+ {%- elif message.role == 'tool' %}
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+ {{- '<|im_start|><|extra_id_13|><tool_output>' + message.content + '</tool_output><|im_end|>'}}
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+ {%- endif %}
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+ {%- endfor %}
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+
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+ {%- if add_generation_prompt %}
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+ {{- '<|im_start|><|assistant|>' }}
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+ {%- endif %}
config.json ADDED
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+ "errors": "replace",
10
+ "is_local": true,
11
+ "local_files_only": true,
12
+ "mask_token": "<|mask|>",
13
+ "max_length": 7680,
14
+ "model_max_length": 32768,
15
+ "model_specific_special_tokens": {
16
+ "eod_token": "<|endoftext|>"
17
+ },
18
+ "pad_token": "<|pad|>",
19
+ "sep_token": "<|sep|>",
20
+ "tokenizer_class": "GPT2Tokenizer",
21
+ "unk_token": "<|unk|>",
22
+ "vocab_size": 102400
23
+ }