初始化项目，由ModelHub XC社区提供模型
Model: Dxniz/Tritype Source: Original Platform
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---
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language:
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- en
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- tr
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license: apache-2.0
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tags:
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- text-generation-inference
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- transformers
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- unsloth
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- qwen3
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- psychology
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- mbti
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- enneagram
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- big-five
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- json
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- structured-output
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- personality-analysis
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base_model: unsloth/qwen3-14b-unsloth-bnb-4bit
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pipeline_tag: text-generation
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---
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# Tritype (Qwen3 Edition)
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**Developed by:** Dxniz
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**License:** Apache-2.0
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**Finetuned from model:** [unsloth/qwen3-14b-unsloth-bnb-4bit](https://huggingface.co/unsloth/qwen3-14b-unsloth-bnb-4bit)
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## Model Description
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**Tritype** is a specialized fine-tuned model built on the Qwen3-14B architecture, designed for in-depth psychological analysis and personality profiling. Unlike general-purpose language models, Tritype produces outputs in a strict, parseable JSON format, integrating multiple personality typology frameworks such as MBTI, Enneagram, and Big Five to simulate complex human psychology.
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This model leverages Unsloth for 2x faster training and Hugging Face's TRL library for efficient fine-tuning.
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**Tritype**, Qwen3-14B mimarisi üzerine inşa edilmiş, derinlemesine psikolojik analiz ve kişilik profillemesi için özel olarak fine-tune edilmiş bir modeldir. Genel amaçlı modellerden farklı olarak, Tritype çıktıları katı ve ayrıştırılabilir JSON formatında üretir; MBTI, Enneagram, Big Five gibi birden fazla kişilik tipoloji çerçevesini entegre ederek karmaşık insan psikolojisini simüle eder.
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Bu model, Unsloth ile 2 kat daha hızlı eğitim ve Hugging Face'in TRL kütüphanesi ile verimli fine-tuning kullanılarak geliştirilmiştir.
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## Key Features
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- **Extended Context Window:** Supports up to 16,000 tokens, enabling analysis of extensive texts (equivalent to approximately 75 question-answer interactions) in a single pass.
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- **Strict JSON Output:** Generates reliable, error-free structured JSON responses, ideal for application and API integrations.
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- **Deep Psychological Insights:** Interprets beyond surface-level text to uncover internal monologues, subconscious drives, and hidden motivations.
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- **Multi-Typology Integration:** Combines MBTI, Enneagram, Big Five, and related systems for comprehensive personality assessments.
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- **Geniş Context Penceresi:** 16.000 token kapasitesiyle uzun metinleri (yaklaşık 75 soru-cevap etkileşimi) tek seferde analiz edebilir.
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- **Katı JSON Çıktı:** Uygulama ve API entegrasyonları için hatasız, yapılandırılmış JSON yanıtlar üretir.
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- **Derin Psikolojik Analiz:** Yüzeysel metnin ötesine geçerek iç sesi, bilinçaltı dürtüleri ve gizli motivasyonları yorumlar.
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- **Çoklu Tipoloji Desteği:** MBTI, Enneagram, Big Five ve ilgili sistemleri entegre ederek kapsamlı kişilik profilleri oluşturur.
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## Intended Uses
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Tritype is intended for:
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- Psychological simulations and personality typing in research or educational contexts.
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- Structured analysis of text-based inputs, such as dialogues, journals, or user-generated content, to derive personality insights.
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- Integration into applications requiring JSON-formatted psychological profiles, such as chatbots, HR tools, or mental health support prototypes (with appropriate ethical oversight).
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Tritype şu amaçlar için tasarlanmıştır:
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- Araştırma veya eğitim bağlamlarında psikolojik simülasyonlar ve kişilik tipolojisi.
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- Diyaloglar, günlükler veya kullanıcı tarafından üretilen içerikler gibi metin tabanlı girdilerin yapılandırılmış analizi için kişilik içgörüleri türetme.
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- Sohbet botları, İK araçları veya zihinsel sağlık destek prototipleri gibi JSON formatlı psikolojik profiller gerektiren uygulamalara entegrasyon (uygun etik denetimle).
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## Out-of-Scope Uses
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- This model should not be used for clinical diagnosis, therapy, or any professional psychological services.
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- Avoid deployment in sensitive scenarios involving real individuals without consent and expert supervision.
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- Not suitable for generating harmful, biased, or unethical content.
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- Bu model klinik teşhis, terapi veya herhangi bir profesyonel psikolojik hizmet için kullanılmamalıdır.
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- Gerçek bireyleri içeren hassas senaryolarda rıza ve uzman denetimi olmadan dağıtılmamalıdır.
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- Zararlı, önyargılı veya etik olmayan içerik üretimi için uygun değildir.
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## Training Data
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The model was fine-tuned on a high-quality dataset comprising **112,000 examples** of psychological scenarios, clinical observations, personality typology theories, and synthesized dialogues.
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- **Dataset:** [Dxniz/Psychology_Large](https://huggingface.co/datasets/Dxniz/Psychology_Large)
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- **Format:** Instruction-Input-Response (Alpaca format)
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Model, psikolojik senaryolar, klinik gözlemler, kişilik tipolojisi teorileri ve sentezlenmiş diyaloglardan oluşan **112.000 satırlık** yüksek kaliteli bir veri seti üzerinde fine-tune edilmiştir.
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## Limitations and Ethical Considerations
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- **Limitations:** Outputs are based on trained patterns and typology theories, which may lack full scientific consensus. The model is not a substitute for professional psychological evaluation. Performance may vary on non-English texts despite bilingual support.
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- **Bias and Fairness:** The training data may reflect biases present in psychological literature; users should critically evaluate outputs for cultural or demographic sensitivities.
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- **Ethical Use:** Exercise caution with sensitive topics like trauma or mental health. The model simulates empathy but cannot provide genuine emotional support.
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- **Sınırlamalar:** Çıktılar, eğitimli kalıplara ve tipoloji teorilerine dayanır; bunlar tam bilimsel uzlaşıya sahip olmayabilir. Model, profesyonel psikolojik değerlendirmenin yerini tutmaz. İngilizce dışı metinlerde performans değişebilir.
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- **Önyargı ve Adalet:** Eğitim verisi, psikolojik literatürdeki önyargıları yansıtabilir; kullanıcılar kültürel veya demografik hassasiyetler açısından çıktıları eleştirel değerlendirmelidir.
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- **Etik Kullanım:** Travma veya zihinsel sağlık gibi hassas konularda dikkatli olunmalıdır. Model empati simüle etse de gerçek duygusal destek sağlayamaz.
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## Citation
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If you use this model in your work, please cite it as:
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```bibtex
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@misc{tritype-qwen3,
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author = {Dxniz},
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title = {Tritype: Fine-Tuned Qwen3-14B for Structured Psychological Analysis},
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year = {2026},
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publisher = {Hugging Face},
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url = {https://huggingface.co/Dxniz/Tritype}
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}
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```
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"model.layers.7.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.8.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.8.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.8.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.norm.weight": "model-00006-of-00006.safetensors"
|
||||
}
|
||||
}
|
||||
16
special_tokens_map.json
Normal file
16
special_tokens_map.json
Normal file
@@ -0,0 +1,16 @@
|
||||
{
|
||||
"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
|
||||
}
|
||||
}
|
||||
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
222
tokenizer_config.json
Normal file
222
tokenizer_config.json
Normal file
@@ -0,0 +1,222 @@
|
||||
{
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151644": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151646": {
|
||||
"content": "<|object_ref_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151647": {
|
||||
"content": "<|object_ref_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151648": {
|
||||
"content": "<|box_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151649": {
|
||||
"content": "<|box_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151650": {
|
||||
"content": "<|quad_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151651": {
|
||||
"content": "<|quad_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151652": {
|
||||
"content": "<|vision_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151654": {
|
||||
"content": "<|vision_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151655": {
|
||||
"content": "<|image_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151661": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151665": {
|
||||
"content": "<tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151666": {
|
||||
"content": "</tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151667": {
|
||||
"content": "<think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151668": {
|
||||
"content": "</think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 40960,
|
||||
"pad_token": "<|vision_pad|>",
|
||||
"padding_side": "right",
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null,
|
||||
"chat_template": "{% for message in messages %}{% if message['role'] == 'user' %}{{'<|im_start|>user\n' + message['content'] + '<|im_end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|im_start|>assistant\n' + message['content'] + '<|im_end|>\n' }}{% else %}{{ '<|im_start|>system\n' + message['content'] + '<|im_end|>\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}"
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user