Malaysian Llama2 7B 32K Instructions V2 by mesolitica

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

Malaysian Llama2 7B 32K Instructions V2 Benchmarks

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 V2 (mesolitica/malaysian-llama2-7b-32k-instructions-v2)
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Malaysian Llama2 7B 32K Instructions V2 Parameters and Internals

Model Type 
text generation
Additional Notes 
Uses a special chat parsing function to handle inputs and generate structured outputs.
Training Details 
Data Sources:
Malaysian instructions dataset
Methodology:
Full Parameter Finetuning
Context Length:
32768
Input Output 
Input Format:
JSON
Accepted Modalities:
text
Output Format:
JSON
LLM NameMalaysian Llama2 7B 32K Instructions V2
Repository ๐Ÿค—https://huggingface.co/mesolitica/malaysian-llama2-7b-32k-instructions-v2 
Model Size7b
Required VRAM13.5 GB
Updated2025-07-08
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
Torch Data Typebfloat16

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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.

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  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124