Test Dataset Codellama 3 8B by rombodawg

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  4bit   Autotrain compatible   Codegen   Conversational   En   Endpoints compatible   Instruct   Llama   Model-index   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Test Dataset Codellama 3 8B Benchmarks

Test Dataset Codellama 3 8B (rombodawg/test_dataset_Codellama-3-8B)

Test Dataset Codellama 3 8B Parameters and Internals

Model Type 
text-generation
Additional Notes 
Test model derived from llama-3-8b; full version linked above.
Training Details 
Data Sources:
Replete-AI/code-test-dataset
Methodology:
Unsloth + Qlora + Galore with 4bit quantization
Context Length:
8192
Training Time:
about 40 minutes
Hardware Used:
Google Colab with under 15GB VRAM
Input Output 
Input Format:
Specialized prompt format for llama-3-8b-instruct.
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Use 4bit quantization for lower VRAM usage.
LLM NameTest Dataset Codellama 3 8B
Repository ๐Ÿค—https://huggingface.co/rombodawg/test_dataset_Codellama-3-8B 
Model Size8b
Required VRAM16.1 GB
Updated2024-12-22
Maintainerrombodawg
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Quantization Type4bit
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than rombodawg/test_dataset_Codellama-3-8B.

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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 v20241217