CollAIborate4x7B by collaiborateorg

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CollAIborate4x7B Benchmarks

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

CollAIborate4x7B Parameters and Internals

LLM NameCollAIborate4x7B
Repository ๐Ÿค—https://huggingface.co/collaiborateorg/CollAIborate4x7B 
Model Size7b
Required VRAM48.7 GB
Updated2024-09-18
Maintainercollaiborateorg
Model Typemixtral
Instruction-BasedYes
Model Files  1.9 GB: 1-of-25   1.9 GB: 2-of-25   2.0 GB: 3-of-25   2.0 GB: 4-of-25   1.9 GB: 5-of-25   2.0 GB: 6-of-25   2.0 GB: 7-of-25   1.9 GB: 8-of-25   2.0 GB: 9-of-25   2.0 GB: 10-of-25   2.0 GB: 11-of-25   1.9 GB: 12-of-25   2.0 GB: 13-of-25   2.0 GB: 14-of-25   1.9 GB: 15-of-25   2.0 GB: 16-of-25   2.0 GB: 17-of-25   1.9 GB: 18-of-25   2.0 GB: 19-of-25   2.0 GB: 20-of-25   1.9 GB: 21-of-25   2.0 GB: 22-of-25   2.0 GB: 23-of-25   2.0 GB: 24-of-25   1.5 GB: 25-of-25
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16
CollAIborate4x7B (collaiborateorg/CollAIborate4x7B)

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Note: green Score (e.g. "73.2") means that the model is better than collaiborateorg/CollAIborate4x7B.

Rank the CollAIborate4x7B 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 v2024072803