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Senku 70B Full 2.4bpw H6 EXL2 by LoneStriker

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  Autotrain compatible   Conversational   Endpoints compatible   Exl2   License:cc-by-2.0   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Rank the Senku 70B Full 2.4bpw H6 EXL2 Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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  
Senku 70B Full 2.4bpw H6 EXL2 (LoneStriker/Senku-70B-Full-2.4bpw-h6-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Senku-70B-Full-2.4bpw-h6-exl2.

Senku 70B Full 2.4bpw H6 EXL2 Parameters and Internals

LLM NameSenku 70B Full 2.4bpw H6 EXL2
RepositoryOpen on ๐Ÿค— 
Model Size70b
Required VRAM21.3 GB
Updated2024-02-29
MaintainerLoneStriker
Model Typellama
Model Files  8.5 GB: 1-of-3   8.6 GB: 2-of-3   4.2 GB: 3-of-3
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licensecc-by-2.0
Context Length32764
Model Max Length32764
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Initializer Range0.02
Torch Data Typefloat16
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024022003