TiamaPY V27 by Ramikan-BR

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  4bit   Autotrain compatible Base model:finetune:unsloth/ti... Base model:unsloth/tinyllama-c...   Conversational   En   Endpoints compatible   Llama   Pytorch   Quantized   Region:us   Safetensors   Sft   Trl   Unsloth

TiamaPY V27 Benchmarks

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

TiamaPY V27 Parameters and Internals

LLM NameTiamaPY V27
Repository ๐Ÿค—https://huggingface.co/Ramikan-BR/TiamaPY-v27 
Base Model(s)  Tinyllama Chat Bnb 4bit   unsloth/tinyllama-chat-bnb-4bit
Model Size1.1b
Required VRAM2.2 GB
Updated2024-09-07
MaintainerRamikan-BR
Model Typellama
Model Files  2.2 GB   2.2 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
TiamaPY V27 (Ramikan-BR/TiamaPY-v27)

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Tinyllama Coder Py V144K / 2.2 GB60
...lama PY CODER 4bit Lora 4k V124K / 2.2 GB60
TiamaPY 1.1B V244K / 2.2 GB50
TinyDolphin 2.8 1.1B 4bit Mlx4K / 0.8 GB3841
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Note: green Score (e.g. "73.2") means that the model is better than Ramikan-BR/TiamaPY-v27.

Rank the TiamaPY V27 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 v2024072803