Malaysian Llama2 7B 32K Instructions V2 by mesolitica

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  Autotrain compatible   Endpoints compatible   Instruct   Llama   Ms   Region:us   Safetensors   Sharded   Tensorflow

Rank the Malaysian Llama2 7B 32K Instructions V2 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  
Malaysian Llama2 7B 32K Instructions V2 (mesolitica/malaysian-llama2-7b-32k-instructions-v2)

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Note: green Score (e.g. "73.2") means that the model is better than mesolitica/malaysian-llama2-7b-32k-instructions-v2.

Malaysian Llama2 7B 32K Instructions V2 Parameters and Internals

LLM NameMalaysian Llama2 7B 32K Instructions V2
RepositoryOpen on ๐Ÿค— 
Model Size7b
Required VRAM13.5 GB
Updated2024-07-13
Maintainermesolitica
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Supported Languagesms
Model ArchitectureLlamaForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Initializer Range0.02
Torch Data Typebfloat16

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