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Model: kumanomidoh/qwen3-4b-yaml-sft-with-template
Source: Original Platform

.gitattributes

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README.md

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+---
+library_name: transformers
+tags: []
+---
+
+# 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. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
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+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
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+- **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
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+[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:**
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+[More Information Needed]
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+**APA:**
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+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+
+## Model Card Contact
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+[More Information Needed]

added_tokens.json

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+{
+  "</think>": 151668,
+  "</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
+}

chat_template.jinja

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+{%- if messages[0].role == 'system' %}
+    {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+{%- endif %}
+{%- for message in messages %}
+    {%- if message.role == "user" or (message.role == "system" and not loop.first) %}
+        {%- set content = message.content if message.content is string else '' %}
+        {%- set suffix = '' %}
+        {%- set fl = content.split('\n')[0].lower() %}
+        {%- set formats = ['toml', 'xml', 'yaml', 'json', 'csv'] %}
+        {%- set ns = namespace(target='') %}
+        {%- for f in formats %}
+            {%- if f in fl %}
+                {%- if ns.target == '' or fl.rfind(f) > fl.rfind(ns.target) %}
+                    {%- set ns.target = f %}
+                {%- endif %}
+            {%- endif %}
+        {%- endfor %}
+        {%- if ns.target == 'toml' %}
+            {%- set suffix = '\n\nOutput ONLY raw TOML. Use [table] for nested objects and [[array]] for arrays. Do not use inline tables.' %}
+        {%- elif ns.target == 'xml' %}
+            {%- set suffix = '\n\nOutput ONLY raw XML. Escape & as &amp;, < as &lt;. No XML declaration. Follow these strict rules:
+
+1. ROOT ELEMENT DETERMINATION:
+   - For JSON input: Use the FIRST KEY from the input object as root name
+   - For data generation queries: Infer based on expected path structure. If paths start with \'assessment_id.*\', root must be \'<assessment_id>\', not the entity name
+   - All XML content must be wrapped within this single root element
+
+2. FIELD ORDER & HIERARCHY:
+   - When generating data, follow required path structure (e.g., \'assessment_id.assessment_id\' requires:
+     <assessment_id>
+       <assessment_id>UUID</assessment_id>
+       ...other nested fields...
+     </assessment_id>)
+   - Maintain exact field order required for path consistency
+   - Arrays must be nested within their parent elements with _item suffix
+
+3. XML SYNTAX REQUIREMENTS:
+   - Must be parseable XML with ONE root element
+   - Properly escape special characters
+   - Match expected schema\'s path structure exactly
+   - All opening tags must have closing tags
+
+4. DATA TYPE HANDLING:
+   - Maintain ISO 8601 timestamps (YYYY-MM-DDTHH:MM:SS.ssssss)
+   - Preserve UUID formats (e.g., 5ceff241-2713-4bf4-a7b2-a4b795b4a1a9)
+   - Keep DOI identifiers intact (e.g., 10.8889/HDtI)
+
+5. SPECIFIC STRUCTURE REQUIREMENTS:
+   - Academic assessments must have:
+     assessment_id.assessment_id
+     assessment_id.student_id
+     assessment_id.course_id
+     assessment_id.type
+     assessment_id.date
+   - Arrays must be properly nested (no standalone array containers)
+   - Academic structures must maintain:
+     - Assignments with name/due/weight
+     - Textbooks with title/author/isbn
+     - Authors arrays with name/affiliation/email
+
+6. VALIDATION CHECKS:
+   - Verify path format matches exactly:
+     \'{root_element}.{field_name}\'
+     \'{root_element}.{array_field}[index].{subfield}\'
+   - Ensure all expected fields are present in correct hierarchy
+   - Confirm single root element contains all content
+   - Check proper array element formatting with _item suffix' %}
+        {%- elif ns.target == 'yaml' %}
+            {%- set suffix = '\n\nConvert the input data format (XML, CSV, or JSON) to valid, semantically equivalent YAML following these rules:
+
+1. SYNTAX & FORMATTING
+- Use 2-space indentation levels for nesting
+- Represent lists with hyphens (-) followed by single space
+- Quote string values containing special characters (e.g., "-120", "0-18km")
+- Maintain consistent spacing around colons (key: value)
+- NO trailing spaces or markdown formatting
+- Ensure valid YAML syntax (test with parser before output)
+
+2. STRUCTURE PRESERVATION
+- XML Conversion:
+  - Map XML tags to nested keys
+  - Convert multiple elements with same tag to list of maps DIRECTLY UNDER PARENT KEY, WITHOUT WRAPPING IN TAG NAME:
+    ✓ Correct: <planets><planet>Mercury</planet></planets> → planets: ["Mercury"]
+    ✓ Correct: <star_systems><star_system><name>Alpha</name></star_system> → star_systems: [ { name: "Alpha" } ]
+    ✗ Incorrect: star_systems: [ { star_system: { name: "Alpha" } } ]
+  - Preserve element hierarchy: parent-child relationships must create direct key-value pairs
+  - Convert XML attributes to keys with \'@\' prefix (e.g., <moon name="Phobos"/> → { "@name": "Phobos" })
+- CSV Conversion:
+  - Map dot-notation headers to nested structures (system.star_name → system: { star_name: ... })
+  - Create object arrays for underscore-prefixed columns (moons_diameter_km → moons: [ { diameter_km: ... } ])
+  - Maintain field relationships in grouped columns (moons_diameter_km and moons_has_rings → moons: [ { diameter_km, has_rings } ])
+  - Preserve row positions when splitting multi-value fields (Phobos;Deimos and 12;6 → first moon: name=Phobos, diameter=12)
+- JSON Conversion:
+  - Directly map objects to YAML maps
+  - Maintain array order and indexing
+  - Preserve null values from source
+
+3. SPECIAL CASE HANDLING
+- Empty elements: Represent as null (undefined) or empty string (explicitly empty) based on source
+- CSV multi-value fields: 
+  - Convert semicolon-separated values to arrays (Oxygen;Nitrogen → ["Oxygen", "Nitrogen"])
+  - Align split values by position for grouped fields (moons field1;field2 → moons[*].field)
+- Numeric values: Keep unquoted, preserve type (int, float) from source
+- Boolean values: Convert to lowercase YAML booleans (true/false)
+- String numbers: Quote values starting with "-" or containing "-...km" patterns
+
+4. PATH PRESERVATION & VALIDATION
+- Ensure all source paths exist in output using dot-notation:
+  - XML: galaxy.clusters[0].name, galaxy.clusters[0].stars[0].type
+  - CSV: atmosphere.composition.*, surface.topography, moons.*.moon_name
+- Confirm nested structures match source depth exactly
+- Validate list items maintain field relationships (moons.*.has_rings)
+- Verify key names match source paths including array element properties
+- Test YAML validity with parser before output
+
+5. XML SPECIFIC NESTING RULES
+- For elements containing mixed content or simple text:
+  <planet><![CDATA[Earth;Mars]]></planet> → planet: "Earth;Mars"
+- For elements with child elements:
+  <planet>
+    <name>Proxima b</name>
+    <radius>0.12</radius>
+  </planet> → planet:
+    name: Proxima b
+    radius: 0.12
+- For repeated elements (critical rule):
+  <star_systems>
+    <star_system>  <!-- THIS TAG NAME MUST BE ELIDED IN YAML -->
+      <name>Alpha Centauri</name>
+      <planets>
+        <planet>  <!-- ELEMENT TO ARRAY CONVERSION -->
+          <name>Proxima b</name>
+        </planet>
+      </planets>
+    </star_system>
+  </star_systems> → star_systems:
+    - name: Alpha Centauri
+      planets:
+        - name: Proxima b
+
+6. CSV SPECIFIC MAPPINGS
+- Top-level columns (no dot/underscore prefix) go at root level (planet_name: ...)
+- Convert dot notation headers to nested maps (system.star_name → system: { star_name: ... })
+- Map underscore-prefixed columns to object arrays:
+  - moons_diameter_km → moons: [ { diameter_km: ... } ]
+  - moons_has_rings → moons: [ { has_rings: ... } ]
+- Preserve field relationships in grouped columns:
+  - moons, moons_diameter_km → moons: [ { moon_name, diameter_km } ]
+  - moons_diameter_km, moons_has_rings → moons: [ { diameter_km, has_rings } ]
+
+OUTPUT ONLY THE RAW YAML WITH NO EXPLANATIONS. MAINTAIN 100% STRUCTURAL PARITY WITH SOURCE DATA.' %}
+        {%- endif %}
+        {{- '<|im_start|>' + message.role + '\n' + content + suffix + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set content = message.content if message.content is string else '' %}
+        {{- '<|im_start|>assistant\n' + content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}

config.json

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+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "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": 262144,
+  "max_window_layers": 36,
+  "model_type": "qwen3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 5000000,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "4.57.6",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

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+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "4.57.6"
+}

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model.safetensors.index.json

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