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TiamaPY V37 by Ramikan-BR

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

TiamaPY V37 Benchmarks

LLME Score: 0.23199
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

TiamaPY V37 Parameters and Internals

LLM NameTiamaPY V37
Repository 🤗https://huggingface.co/Ramikan-BR/TiamaPY-v37 
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   2.2 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
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 V37 (Ramikan-BR/TiamaPY-v37)

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Context / RAM
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Likes
Palmer 004 240632K / 2.2 GB5740
TinyllamaMix 1.1B32K / 2.2 GB932
Palmer 00432K / 2.2 GB500
TinyLlama 1.1B 32K GGUF32K / 0.5 GB1600
Tinyllama Coder Py 4bit V104K / 0.7 GB1130
Tinyllama Coder Py V134K / 0.7 GB650
Tinyllama Coder Py 4bit V34K / 1.2 GB610
Tinyllama Coder Py 4bit V44K / 1.2 GB100
...llama PY CODER 4bit Lora 4k V54K / 0.7 GB160
TiamaPY V344K / 0.7 GB320
Note: green Score (e.g. "73.2") means that the model is better than Ramikan-BR/TiamaPY-v37.

Rank the TiamaPY V37 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 v2024072803
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