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Malaysian Tinyllama 1.1B 16K Instructions Rag by mesolitica

 »  All LLMs  »  mesolitica  »  Malaysian Tinyllama 1.1B 16K Instructions Rag   URL Share it on

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Llama   Ms   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/mesolitica/malaysian-tinyllama-1.1b-16k-instructions-rag 

Malaysian Tinyllama 1.1B 16K Instructions Rag Benchmarks

LLME Score: 0.16377
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Malaysian Tinyllama 1.1B 16K Instructions Rag (mesolitica/malaysian-tinyllama-1.1b-16k-instructions-rag)

Malaysian Tinyllama 1.1B 16K Instructions Rag Parameters and Internals

Model Type 
text generation, instruction following
Additional Notes 
The model is optimized for executing text generation and instruction following in Malay language using RAG (Retrieval-Augmented Generation) techniques.
Supported Languages 
ms (native)
Training Details 
Data Sources:
https://huggingface.co/collections/mesolitica/malaysian-synthetic-dataset-656c2673fe7fe0b1e9e25fe2
Methodology:
Finetuning on Malaysian instructions dataset
Context Length:
16384
Model Architecture:
LLaMA-based
Input Output 
Input Format:
Chat template format
Accepted Modalities:
text
Output Format:
Text generated after the input
LLM NameMalaysian Tinyllama 1.1B 16K Instructions Rag
Repository 🤗https://huggingface.co/mesolitica/malaysian-tinyllama-1.1b-16k-instructions-rag 
Model Size1.1b
Required VRAM2.2 GB
Updated2025-01-06
Maintainermesolitica
Model Typellama
Instruction-BasedYes
Model Files  2.2 GB
Supported Languagesms
Model ArchitectureLlamaForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.36.2
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-tinyllama-1.1b-16k-instructions-rag.

Rank the Malaysian Tinyllama 1.1B 16K Instructions Rag 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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