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TinyLlama Greek CP by gsar78

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  4bit   Autotrain compatible Base model:unsloth/tinyllama-b...   Dataset:wikimedia/wikipedia   El   En   Endpoints compatible   License:apache-2.0   Llama   Quantized   Region:us   Safetensors   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/gsar78/TinyLlama_Greek_CP 
TinyLlama Greek CP (gsar78/TinyLlama_Greek_CP)

TinyLlama Greek CP Parameters and Internals

Model Type 
text generation
Use Cases 
Primary Use Cases:
Experimental purposes
Limitations:
Performance not great.
Additional Notes 
The model is pre-trained with a 60/40 ratio in favor of English over Greek.
Supported Languages 
en (English), el (Greek)
Training Details 
Data Sources:
wikimedia/wikipedia
Data Volume:
1B tokens
Model Architecture:
custom Llama-like
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
LLM NameTinyLlama Greek CP
Repository 🤗https://huggingface.co/gsar78/TinyLlama_Greek_CP 
Base Model(s)  Tinyllama Bnb 4bit   unsloth/tinyllama-bnb-4bit
Model Size1.1b
Required VRAM2.2 GB
Updated2024-07-04
Maintainergsar78
Model Typellama
Model Files  2.2 GB
Supported Languagesen el
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 Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than gsar78/TinyLlama_Greek_CP.

Rank the TinyLlama Greek CP Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241227
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