Tinyllama Coder Py V12 by Ramikan-BR

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

Tinyllama Coder Py V12 Benchmarks

Tinyllama Coder Py V12 (Ramikan-BR/tinyllama-coder-py-v12)

Tinyllama Coder Py V12 Parameters and Internals

Model Type 
text-generation-inference
Additional Notes 
The model achieved a benchmark average score of 35.22 across various tasks.
Training Details 
Data Sources:
open-llm-leaderboard/details_Ramikan-BR__tinyllama-coder-py-v12
Methodology:
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameTinyllama Coder Py V12
Repository ๐Ÿค—https://huggingface.co/Ramikan-BR/tinyllama-coder-py-v12 
Base Model(s)  Tinyllama Chat Bnb 4bit   unsloth/tinyllama-chat-bnb-4bit
Model Size1.1b
Required VRAM0.7 GB
Updated2024-12-14
MaintainerRamikan-BR
Model Typellama
Model Files  2.2 GB   2.2 GB   2.2 GB   0.7 GB   1.2 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.41.0
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 Ramikan-BR/tinyllama-coder-py-v12.

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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