Mixtral 8x7B Holodeck V1 by KoboldAI

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Mixtral 8x7B Holodeck V1 Benchmarks

Mixtral 8x7B Holodeck V1 (KoboldAI/Mixtral-8x7B-Holodeck-v1)
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Mixtral 8x7B Holodeck V1 Parameters and Internals

Model Type 
text-generation
Use Cases 
Limitations:
bias (gender, profession, race and religion)
Additional Notes 
Training data contains ebooks prepended with genres.
Supported Languages 
en (Proficient)
Training Details 
Data Sources:
around 3000 ebooks in various genres
Methodology:
Fine-tuning
LLM NameMixtral 8x7B Holodeck V1
Repository ๐Ÿค—https://huggingface.co/KoboldAI/Mixtral-8x7B-Holodeck-v1 
Model Size46.7b
Required VRAM93.6 GB
Updated2025-08-19
MaintainerKoboldAI
Model Typemixtral
Model Files  4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than KoboldAI/Mixtral-8x7B-Holodeck-v1.

Rank the Mixtral 8x7B Holodeck V1 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