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Tinyllama Singlish by mmpc

By mmpc · 6 downloads
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Tinyllama Singlish is an open-source language model by mmpc. Features: LLM, VRAM: 2.2GB, Context: 2K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

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

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 🤗https://huggingface.co/mmpc/tinyllama-Singlish 
Base Model(s)  Tinyllama Bnb 4bit   unsloth/tinyllama-bnb-4bit
Required VRAM2.2 GB
Updated2026-04-24
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

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