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Malaysian Llama2 7B 32K Instructions by mesolitica

 »  All LLMs  »  mesolitica  »  Malaysian Llama2 7B 32K Instructions   URL Share it on

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  Autotrain compatible   Endpoints compatible   Instruct   Llama   Ms   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mesolitica/malaysian-llama2-7b-32k-instructions 

Malaysian Llama2 7B 32K Instructions Benchmarks

LLME Score: 0.12999
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Malaysian Llama2 7B 32K Instructions (mesolitica/malaysian-llama2-7b-32k-instructions)

Malaysian Llama2 7B 32K Instructions Parameters and Internals

Model Type 
text generation
Training Details 
Data Sources:
Google Translate Ultrachat
Methodology:
Exact Llama2 chat template
Context Length:
16384
Input Output 
Input Format:
chat messages formatted with Llama2 chat template
Accepted Modalities:
text
Output Format:
text
LLM NameMalaysian Llama2 7B 32K Instructions
Repository 🤗https://huggingface.co/mesolitica/malaysian-llama2-7b-32k-instructions 
Model Size7b
Required VRAM13.5 GB
Updated2025-03-20
Maintainermesolitica
Model Typellama
Instruction-BasedYes
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesms
Model ArchitectureLlamaForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.32.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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

Rank the Malaysian Llama2 7B 32K Instructions 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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