Reflection Llama 3.1 8B Solshine Trainround2 16bit by Solshine

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  16bit   Autotrain compatible Base model:finetune:solshine/r... Base model:solshine/reflection...   Conversational Dataset:harshkmr/orca-math-wor...   En   Endpoints compatible   Llama   Pytorch   Quantized   Reflection   Region:us   Sft   Sharded   Trl   Unsloth

Reflection Llama 3.1 8B Solshine Trainround2 16bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Reflection Llama 3.1 8B Solshine Trainround2 16bit (Solshine/reflection-llama-3.1-8B-Solshine-trainround2-16bit)

Reflection Llama 3.1 8B Solshine Trainround2 16bit Parameters and Internals

Model Type 
text generation
Additional Notes 
This model employs the Reflection Tuning technique and outputs reasoning and final answers in structured formats to improve user experience. Trained using Unsloth and Huggingface's TRL library for faster performance.
Supported Languages 
en (English)
Training Details 
Data Sources:
Harshkmr/orca-math-word-reflection
Methodology:
Inspired by the Reflection Tuning technique pioneered by Matt Shumer
Model Architecture:
Llama 3.1
LLM NameReflection Llama 3.1 8B Solshine Trainround2 16bit
Repository ๐Ÿค—https://huggingface.co/Solshine/reflection-llama-3.1-8B-Solshine-trainround2-16bit 
Base Model(s)  Solshine/reflection-llama-3.1-8B-Solshine-trainround1-16bit   Solshine/reflection-llama-3.1-8B-Solshine-trainround1-16bit
Model Size8b
Required VRAM16.1 GB
Updated2025-01-24
MaintainerSolshine
Model Typellama
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 Type16bit
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16

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Rank the Reflection Llama 3.1 8B Solshine Trainround2 16bit 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 v20241227