X Instruction 7B Ta by James-WYang

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  Autotrain compatible   Endpoints compatible   Gemma   Instruct   Region:us   Safetensors   Sharded   Tensorflow

Rank the X Instruction 7B Ta 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  
X Instruction 7B Ta (James-WYang/X-Instruction-7b-ta)

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X Instruction 7B Ta Parameters and Internals

LLM NameX Instruction 7B Ta
RepositoryOpen on ๐Ÿค— 
Model Size7b
Required VRAM17.1 GB
Updated2024-07-05
MaintainerJames-WYang
Model Typegemma
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   2.1 GB: 4-of-4   0.0 GB
Model ArchitectureGemmaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Initializer Range0.02
Torch Data Typebfloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801