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Depression Turtle by GazTrab

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Base model:nousresearch/hermes... Base model:quantized:nousresea...   Conversational   En   Endpoints compatible   Gguf   Llama   Lora   Quantized   Region:us   Safetensors   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/GazTrab/depression_turtle 

Depression Turtle Benchmarks

LLME Score: 0.15269
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Depression Turtle (GazTrab/depression_turtle)
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Depression Turtle Parameters and Internals

Model Type 
text-generation-inference, transformers
Training Details 
Methodology:
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameDepression Turtle
Repository 🤗https://huggingface.co/GazTrab/depression_turtle 
Base Model(s)  Hermes 2 Theta Llama 3 8B   NousResearch/Hermes-2-Theta-Llama-3-8B
Model Size8b
Required VRAM0.2 GB
Updated2025-10-26
MaintainerGazTrab
Model Files  0.2 GB   8.5 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|v_proj|o_proj|q_proj|gate_proj|down_proj|k_proj
LoRA Alpha16
LoRA Dropout0
R Param16

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

Rank the Depression Turtle 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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