Mimi Chatbot 0.2 by Xerror

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Base model:mistralai/mistral-7... Base model:quantized:mistralai...   Conversational   En   Endpoints compatible   Gguf   Instruct   Mistral   Quantized   Region:us   Unsloth
Model Card on HF ๐Ÿค—: https://huggingface.co/Xerror/Mimi-Chatbot-0.2 

Mimi Chatbot 0.2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Mimi Chatbot 0.2 Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, gguf
Additional Notes 
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
Training Details 
Methodology:
Unsloth and Huggingface's TRL library
Training Time:
2x faster
LLM NameMimi Chatbot 0.2
Repository ๐Ÿค—https://huggingface.co/Xerror/Mimi-Chatbot-0.2 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.2   mistralai/Mistral-7B-Instruct-v0.2
Model Size7b
Required VRAM4.4 GB
Updated2024-12-01
MaintainerXerror
Model Typemistral
Instruction-BasedYes
Model Files  4.4 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0
Mimi Chatbot 0.2 (Xerror/Mimi-Chatbot-0.2)

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Note: green Score (e.g. "73.2") means that the model is better than Xerror/Mimi-Chatbot-0.2.

Rank the Mimi Chatbot 0.2 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 v20241124