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Dgtkqabot Mistral 7B V3 by Johnnylai92

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Dgtkqabot Mistral 7B V3 Benchmarks

LLME Score: 0.22412
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Dgtkqabot Mistral 7B V3 Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameDgtkqabot Mistral 7B V3
Repository 🤗https://huggingface.co/Johnnylai92/dgtkqabot-mistral-7b-v3 
Base Model(s)  unsloth/mistral-7b-v0.3-bnb-4bit   unsloth/mistral-7b-v0.3-bnb-4bit
Model Size7b
Required VRAM14.5 GB
Updated2024-11-21
MaintainerJohnnylai92
Model Typemistral
Model Files  14.5 GB   4.4 GB   5.1 GB   7.7 GB   5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   4.1 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Type4bit|gguf
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token[control_768]
Vocabulary Size32768
Torch Data Typefloat16
Dgtkqabot Mistral 7B V3 (Johnnylai92/dgtkqabot-mistral-7b-v3)

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Note: green Score (e.g. "73.2") means that the model is better than Johnnylai92/dgtkqabot-mistral-7b-v3.

Rank the Dgtkqabot Mistral 7B V3 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 v20241110
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