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Mallam 5B 20K Instructions V2 by mesolitica

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mistral   Ms   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mesolitica/mallam-5b-20k-instructions-v2 

Mallam 5B 20K Instructions V2 Benchmarks

LLME Score: 0.15182
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mallam 5B 20K Instructions V2 (mesolitica/mallam-5b-20k-instructions-v2)

Mallam 5B 20K Instructions V2 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Applications:
instruction-finetuning
Limitations:
minimal moderation mechanisms
Considerations:
The model should be used with the awareness of its limitations and areas of unsuitability.
Additional Notes 
Demonstrates finetuning performance on Malaysian instructions dataset.
Supported Languages 
ms (native)
Training Details 
Data Sources:
https://huggingface.co/collections/mesolitica/malaysian-synthetic-dataset-656c2673fe7fe0b1e9e25fe2
Methodology:
Full Parameter Finetuning using Mistral Instruct chat template
Context Length:
20480
Model Architecture:
Transformer-based architecture
Input Output 
Input Format:
Mistral chat template with special tokens for instructions and responses
Accepted Modalities:
text
Output Format:
Text responses generated with context
LLM NameMallam 5B 20K Instructions V2
Repository 🤗https://huggingface.co/mesolitica/mallam-5b-20k-instructions-v2 
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 Version4.36.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Mallam 5B 20K Instructions32K / 10 GB461

Rank the Mallam 5B 20K 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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Release v20241227
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