Tinyllama Singlish by mmpc

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  4bit   Autotrain compatible Base model:finetune:unsloth/ti... Base model:unsloth/tinyllama-b...   En   Endpoints compatible   Llama   Pytorch   Quantized   Region:us   Trl   Unsloth
Model Card on HF ๐Ÿค—: https://huggingface.co/mmpc/tinyllama-Singlish 

Tinyllama Singlish Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Tinyllama Singlish Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, llama, trl
Supported Languages 
en (unknown)
Training Details 
Methodology:
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameTinyllama Singlish
Repository ๐Ÿค—https://huggingface.co/mmpc/tinyllama-Singlish 
Base Model(s)  Tinyllama Bnb 4bit   unsloth/tinyllama-bnb-4bit
Required VRAM2.2 GB
Updated2025-06-09
Maintainermmpc
Model Typellama
Model Files  2.2 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Tinyllama Singlish (mmpc/tinyllama-Singlish)

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Note: green Score (e.g. "73.2") means that the model is better than mmpc/tinyllama-Singlish.

Rank the Tinyllama Singlish 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