MelloGPT GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:quantized:steve-cse...   Base model:steve-cse/mellogpt   Conversational Dataset:nbertagnolli/counsel-c...   Gptq   Mistral   Quantized   Region:us   Safetensors
Model Card on HF ๐Ÿค—: https://huggingface.co/TheBloke/MelloGPT-GPTQ 

MelloGPT GPTQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MelloGPT GPTQ (TheBloke/MelloGPT-GPTQ)

MelloGPT GPTQ Parameters and Internals

Model Type 
text generation
Additional Notes 
The model is fine-tuned for mental health conversations, especially focusing on areas such as anxiety, depression, and stress.
Training Details 
Data Sources:
nbertagnolli/counsel-chat
Methodology:
Fine-tuning
Model Architecture:
Mistral
Input Output 
Input Format:
{prompt}
LLM NameMelloGPT GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/MelloGPT-GPTQ 
Model NameMelloGPT
Model CreatorSteve Boby George
Base Model(s)  MelloGPT   steve-cse/MelloGPT
Model Size1.2b
Required VRAM4.2 GB
Updated2024-12-26
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/MelloGPT-GPTQ.

Rank the MelloGPT GPTQ Capabilities

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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 v20241227