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Model: NotoriousH2/Qwen3-4B-Calendar-Agent-RLVR Source: Original Platform
2026-10-15 03:26:19 +08:00
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+adapter/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text
--- a/README.md
+++ b/README.md
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+---
+license: apache-2.0
+language:
+- ko
+library_name: transformers
+pipeline_tag: text-generation
+base_model: NotoriousH2/Qwen3-4B-Calendar-Agent-SFT
+datasets:
+- NotoriousH2/calendar-agent-benchmark
+tags:
+- qwen3
+- tool-calling
+- function-calling
+- agents
+- grpo
+- rlvr
+- reinforcement-learning
+- calendar
+- korean
+---
+
+# Qwen3-4B Calendar Agent RLVR
+
+Qwen3-4B Calendar Agent RLVR는 한국어 일정 관리 도구를 호출하는 4B 파라미터 병합 모델입니다.
+Calendar 도구의 실행 궤적과 최종 상태를 보상으로 평가하여 GRPO로 학습했습니다.
+
+다음 행동을 학습 범위에 포함합니다.
+
+- 일정 조회, 생성, 수정, 삭제
+- 필수 정보가 없을 때 사용자에게 정보 요청
+- 삭제 전 사용자 승인 확인
+- 일정 충돌 확인과 빈 시간 생성
+- 여러 참석자의 공통 가능 시간 탐색
+
+## 1. 사용
+
+저장소 루트에는 병합 모델이 있으며, `adapter/`에는 LoRA 어댑터가 있습니다.
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_id = "NotoriousH2/Qwen3-4B-Calendar-Agent-RLVR"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    dtype="auto",
+    device_map="auto",
+)
+
+tools = [
+    {
+        "type": "function",
+        "function": {
+            "name": "search_events",
+            "description": "지정한 날짜의 일정을 조회합니다.",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "date": {"type": "string", "description": "YYYY-MM-DD"}
+                },
+                "required": ["date"],
+            },
+        },
+    }
+]
+messages = [
+    {
+        "role": "system",
+        "content": "사용자 요청을 처리하는 데 필요한 일정 도구를 호출하세요.",
+    },
+    {"role": "user", "content": "2039-07-05 일정을 알려줘."},
+]
+
+prompt = tokenizer.apply_chat_template(
+    messages,
+    tools=tools,
+    tokenize=False,
+    add_generation_prompt=True,
+    enable_thinking=False,
+)
+inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+outputs = model.generate(**inputs, max_new_tokens=512)
+response = outputs[0, inputs.input_ids.shape[1] :]
+print(tokenizer.decode(response, skip_special_tokens=False))
+```
+
+모델은 도구 호출 정보를 생성합니다.
+호출 실행과 도구 결과 전달은 호스트 애플리케이션에서 처리해야 합니다.
+
+## 2. 학습 보상
+
+같은 요청에서 16개 응답을 생성하고, 그룹 안의 보상 차이로 Advantage를 계산했습니다.
+
+| 보상 | 가중치 | 평가 대상 |
+|---|---:|---|
+| 안전 규칙 | 0.25 | 필수 정보와 사용자 승인 준수 |
+| 절차 진행 | 0.35 | 조회, 확인, 성공한 도구 실행 |
+| 최종 성공 | 0.40 | 최종 Calendar 상태와 사용자 요청의 일치 |
+
+전체 행동군을 다룬 첫 학습 단계에서 96개 그룹 중 68개 그룹이 서로 다른 보상을 포함했습니다.
+최종 성공 여부가 같은 응답도 절차 진행 점수로 구분하여 학습 신호를 구성했습니다.
+
+## 3. 평가
+
+400개 합성 시나리오에서 실제 도구 루프를 실행하고 최종 상태를 평가했습니다.
+
+| 모델 | 유효 도구 호출 | 정책 준수 | Task Success | 평균 도구 호출 |
+|---|---:|---:|---:|---:|
+| Qwen3-4B Base | 100.00% | 80.00% | 20.00% | 0.80 |
+| Calendar Agent SFT | 100.00% | 89.25% | 89.00% | 2.55 |
+| Calendar Agent RLVR | 100.00% | 99.25% | 99.00% | 2.38 |
+
+SFT와 사례별로 비교하면 RLVR 모델은 41개 실패를 성공으로 전환했고, 1개 성공을 실패로 전환했습니다.
+순증은 40개이며 전체 Task Success 차이는 10.00%p입니다.
+
+템플릿별 Task Success는 다음과 같습니다.
+
+| 템플릿 | SFT | RLVR | 전체 |
+|---|---:|---:|---:|
+| 필수 정보 요청 | 60 | 80 | 80 |
+| 삭제 승인 요청 | 59 | 80 | 80 |
+| 충돌 후 생성 | 77 | 76 | 80 |
+| 승인 후 삭제 | 80 | 80 | 80 |
+| 다중 참석자 생성 | 80 | 80 | 80 |
+
+집계값은 [evaluation.json](./evaluation.json)에 있습니다.
+
+## 4. 행동 사례
+
+필수 정보가 없는 생성 요청에서는 임의의 시각을 정해 일정을 생성하지 않고 시작 시각과 소요 시간을 요청합니다.
+
+충돌 시 대체 시간 등록을 승인한 요청에서는 기존 일정을 조회하고 빈 시간을 찾은 뒤, 충돌하지 않는 시간에 일정을 생성합니다.
+
+## 5. 제한
+
+이 모델은 `Asia/Seoul` 시간대의 합성 시나리오와 메모리 Calendar 환경에서 학습하고 평가했습니다.
+실제 일정 서비스의 인증, 권한, 개인정보 처리, 네트워크 장애는 평가 범위에 포함하지 않습니다.
+
+충돌 후 생성은 SFT 77/80, RLVR 76/80으로 다른 템플릿보다 낮습니다.
+외부 Calendar 시스템에 적용할 때는 충돌 복구와 도구 오류 이후의 재시도를 별도로 평가해야 합니다.
--- a/adapter/README.md
+++ b/adapter/README.md
@@ -0,0 +1,209 @@
+---
+base_model: artifacts/calendar_sft/merged
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:artifacts/calendar_sft/merged
+- grpo
+- lora
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.20.0
--- a/adapter/adapter_config.json
+++ b/adapter/adapter_config.json
@@ -0,0 +1,50 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "artifacts/calendar_sft/merged",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "monteclora_config": null,
+  "peft_type": "LORA",
+  "peft_version": "0.20.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "down_proj",
+    "gate_proj",
+    "o_proj",
+    "v_proj",
+    "k_proj",
+    "up_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false,
+  "velora_config": null
+}
--- a/adapter/adapter_model.safetensors
+++ b/adapter/adapter_model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0a63322168467878b8e7b11334d96051085539e6a85793653257625ba4618c95
+size 132187888
--- a/adapter/chat_template.jinja
+++ b/adapter/chat_template.jinja
@@ -0,0 +1,89 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# 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>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\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" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}
--- a/adapter/tokenizer.json
+++ b/adapter/tokenizer.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
+size 11422650
--- a/adapter/tokenizer_config.json
+++ b/adapter/tokenizer_config.json
@@ -0,0 +1,57 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_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|>"
+  ],
+  "is_local": true,
+  "local_files_only": false,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "response_template": {
+    "defaults": {
+      "role": "assistant"
+    },
+    "fields": {
+      "content": {
+        "close_pattern": "<\\|im_end\\|>\\s*",
+        "content": "text"
+      },
+      "reasoning_content": {
+        "close_pattern": "</think>\\s*",
+        "content": "text",
+        "open": "<think>"
+      },
+      "tool_calls": {
+        "close_pattern": "</tool_call>\\s*",
+        "content": "json",
+        "open": "<tool_call>",
+        "repeats": true,
+        "transform": {
+          "function": "{content}",
+          "type": "function"
+        }
+      }
+    },
+    "start_anchor": "<|im_start|>assistant\n"
+  },
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}
--- a/chat_template.jinja
+++ b/chat_template.jinja
@@ -0,0 +1,89 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# 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>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\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" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}
--- a/config.json
+++ b/config.json
@@ -0,0 +1,71 @@
+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": null,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2560,
+  "initializer_range": 0.02,
+  "intermediate_size": 9728,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 40960,
+  "max_window_layers": 36,
+  "model_type": "qwen3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 8,
+  "pad_token_id": 151643,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.14.1",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}
--- a/evaluation.json
+++ b/evaluation.json
@@ -0,0 +1,92 @@
+{
+  "task": "calendar_tool_calling",
+  "timezone": "Asia/Seoul",
+  "samples": 400,
+  "models": [
+    {
+      "model": "Qwen3-4B Base",
+      "valid_tool_call": 1.0,
+      "policy_compliance": 0.8,
+      "task_success": 0.2,
+      "average_tool_calls": 0.8
+    },
+    {
+      "model": "Calendar Agent SFT",
+      "valid_tool_call": 1.0,
+      "policy_compliance": 0.8925,
+      "task_success": 0.89,
+      "average_tool_calls": 2.5525
+    },
+    {
+      "model": "Calendar Agent RLVR",
+      "valid_tool_call": 1.0,
+      "policy_compliance": 0.9925,
+      "task_success": 0.99,
+      "average_tool_calls": 2.3775
+    }
+  ],
+  "paired_transition": {
+    "task_success": {
+      "gains": 41,
+      "losses": 1,
+      "net_gain": 40
+    },
+    "policy_compliance": {
+      "gains": 41,
+      "losses": 1,
+      "net_gain": 40
+    }
+  },
+  "templates": [
+    {
+      "template": "missing_time_clarification",
+      "samples": 80,
+      "sft_successes": 60.0,
+      "rlvr_successes": 80.0
+    },
+    {
+      "template": "delete_confirmation",
+      "samples": 80,
+      "sft_successes": 59.0,
+      "rlvr_successes": 80.0
+    },
+    {
+      "template": "conflict_then_create",
+      "samples": 80,
+      "sft_successes": 77.0,
+      "rlvr_successes": 76.0
+    },
+    {
+      "template": "confirmed_delete",
+      "samples": 80,
+      "sft_successes": 80.0,
+      "rlvr_successes": 80.0
+    },
+    {
+      "template": "multi_attendee_create",
+      "samples": 80,
+      "sft_successes": 80.0,
+      "rlvr_successes": 80.0
+    }
+  ],
+  "training_signal": {
+    "rollouts_per_group": 16,
+    "groups": 96,
+    "active_groups": 68,
+    "zero_variance_groups": 28,
+    "reward_components": [
+      {
+        "name": "safety",
+        "weight": 0.25
+      },
+      {
+        "name": "policy_progress",
+        "weight": 0.35
+      },
+      {
+        "name": "semantic_final_success",
+        "weight": 0.4
+      }
+    ]
+  }
+}
--- a/generation_config.json
+++ b/generation_config.json
@@ -0,0 +1,12 @@
+{
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.6,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "5.14.1"
+}
--- a/metrics.json
+++ b/metrics.json
@@ -0,0 +1,26 @@
+{
+  "task": "calendar",
+  "models": [
+    {
+      "model": "Qwen3-4B Base",
+      "valid_tool_call": 1.0,
+      "policy_compliance": 0.8,
+      "task_success": 0.2,
+      "average_tool_calls": 0.8
+    },
+    {
+      "model": "Calendar Agent SFT",
+      "valid_tool_call": 1.0,
+      "policy_compliance": 0.8925,
+      "task_success": 0.89,
+      "average_tool_calls": 2.5525
+    },
+    {
+      "model": "Calendar Agent RLVR",
+      "valid_tool_call": 1.0,
+      "policy_compliance": 0.9925,
+      "task_success": 0.99,
+      "average_tool_calls": 2.3775
+    }
+  ]
+}
--- a/model.safetensors
+++ b/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1c4bab462e4538b946e6b17239a51c535fbc16e6f1174eb80afd139d992ad41c
+size 8044982080
--- a/tokenizer.json
+++ b/tokenizer.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
+size 11422650
--- a/tokenizer_config.json
+++ b/tokenizer_config.json
@@ -0,0 +1,30 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_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|>"
+  ],
+  "is_local": true,
+  "local_files_only": true,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}