Mistral7binst2 Bglawinsv7UNS Merged by torVik

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mistral7binst2 Bglawinsv7UNS Merged 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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Mistral7binst2 Bglawinsv7UNS Merged Parameters and Internals

LLM NameMistral7binst2 Bglawinsv7UNS Merged
Repository ๐Ÿค—https://huggingface.co/torVik/mistral7binst2-bglawinsv7UNS-merged 
Model Size7b
Required VRAM28.9 GB
Updated2024-07-24
MaintainertorVik
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.8 GB: 5-of-6   4.2 GB: 6-of-6
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat32
Mistral7binst2 Bglawinsv7UNS Merged (torVik/mistral7binst2-bglawinsv7UNS-merged)

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Note: green Score (e.g. "73.2") means that the model is better than torVik/mistral7binst2-bglawinsv7UNS-merged.

Rank the Mistral7binst2 Bglawinsv7UNS Merged 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