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Thesa by johnhandleyd

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  Adapter Base model:adapter:thebloke/ze... Base model:thebloke/zephyr-7b-... Dataset:loaiabdalslam/counselc...   En   Finetuned   Generated from trainer   Gptq   Lora   Peft   Quantized   Region:us   Safetensors   Tensorboard
Model Card on HF 🤗: https://huggingface.co/johnhandleyd/thesa 

Thesa Benchmarks

LLME Score: 0.13236
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Thesa (johnhandleyd/thesa)
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Thesa Parameters and Internals

Model Type 
text-generation
Use Cases 
Limitations:
This model is purely experimental and should not be used as substitute for a mental health professional.
Additional Notes 
Thesa is an experimental project of a therapy chatbot trained on mental health data and fine-tuned with the Zephyr GPTQ model that uses quantization to decrease high computatinal and storage costs.
Supported Languages 
en (English)
Training Details 
Data Sources:
loaiabdalslam/counselchat
Methodology:
fine-tuned from TheBloke/zephyr-7B-alpha-GPTQ on various mental health datasets
LLM NameThesa
Repository 🤗https://huggingface.co/johnhandleyd/thesa 
Base Model(s)  Zephyr 7B Alpha GPTQ   TheBloke/zephyr-7B-alpha-GPTQ
Model Size7b
Required VRAM0 GB
Updated2025-11-05
Maintainerjohnhandleyd
Model Files  0.0 GB   0.0 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureAdapter
Licensemit
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj
LoRA Alpha16
LoRA Dropout0.05
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than johnhandleyd/thesa.

Rank the Thesa Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241124
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