Mallam 5B 20K Instructions by mesolitica

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

Mallam 5B 20K Instructions Benchmarks

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Mallam 5B 20K Instructions (mesolitica/mallam-5b-20k-instructions)

Mallam 5B 20K Instructions Parameters and Internals

Model Type 
text generation
Additional Notes 
This is a quick demonstration model for fine-tuning capabilities.
Supported Languages 
ms (high proficiency)
Training Details 
Data Sources:
Malaysian instructions dataset
Methodology:
Full Parameter Finetuning
Context Length:
20480
Model Architecture:
Mistral
Input Output 
Input Format:
Parsed chat template
Accepted Modalities:
text
Output Format:
Text
Performance Tips:
Minimal moderation mechanisms present
LLM NameMallam 5B 20K Instructions
Repository ๐Ÿค—https://huggingface.co/mesolitica/mallam-5b-20k-instructions 
Model Size5b
Required VRAM10 GB
Updated2025-03-13
Maintainermesolitica
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   4.8 GB: 2-of-3   0.3 GB: 3-of-3
Supported Languagesms
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size32000
Torch Data Typebfloat16

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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 v20241227