X Instruction 7B Ta by James-WYang

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

X Instruction 7B Ta Benchmarks

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

X Instruction 7B Ta Parameters and Internals

LLM NameX Instruction 7B Ta
Repository ๐Ÿค—https://huggingface.co/James-WYang/X-Instruction-7b-ta 
Model Size7b
Required VRAM17.1 GB
Updated2024-11-21
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
Torch Data Typebfloat16
X Instruction 7B Ta (James-WYang/X-Instruction-7b-ta)

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Note: green Score (e.g. "73.2") means that the model is better than James-WYang/X-Instruction-7b-ta.

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  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110