Malaysian Tinyllama 1.1B 16K Instructions Rag by mesolitica

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Llama   Ms   Region:us   Safetensors

Malaysian Tinyllama 1.1B 16K Instructions Rag Benchmarks

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 Parameters and Internals

LLM NameMalaysian Tinyllama 1.1B 16K Instructions Rag
Repository ๐Ÿค—https://huggingface.co/mesolitica/malaysian-tinyllama-1.1b-16k-instructions-rag 
Model Size1.1b
Required VRAM2.2 GB
Updated2024-09-07
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
Malaysian Tinyllama 1.1B 16K Instructions Rag (mesolitica/malaysian-tinyllama-1.1b-16k-instructions-rag)

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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.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803