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Reflection Llama 3.1 8B Solshine Trainround4 16bit by Solshine

 »  All LLMs  »  Solshine  »  Reflection Llama 3.1 8B Solshine Trainround4 16bit   URL Share it on

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  16bit   Autotrain compatible Base model:finetune:solshine/r... Base model:solshine/reflection...   Conversational Dataset:harshkmr/orca-math-wor... Dataset:mahiatlinux/reflection...   En   Endpoints compatible   Llama   Pytorch   Quantized   Reflection   Region:us   Sft   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Solshine/reflection-llama-3.1-8B-Solshine-trainround4-16bit 

Reflection Llama 3.1 8B Solshine Trainround4 16bit Benchmarks

LLME Score: 0.21581
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 Trainround4 16bit (Solshine/reflection-llama-3.1-8B-Solshine-trainround4-16bit)

Reflection Llama 3.1 8B Solshine Trainround4 16bit Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, llama, trl, sft, reflection
Additional Notes 
This Llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
mahiatlinux/Reflection-Dataset-v2, Harshkmr/orca-math-word-reflection
Methodology:
Reflection Tuning technique pioneered by Matt Shumer and potentially earlier by Anthropic. Featuring reasoning within special tokens.
Training Time:
Trained 2x faster with Unsloth and Huggingface's TRL library.
Input Output 
Input Format:
System uses standard Llama 3.1 chat format with reasoning tokens.
Accepted Modalities:
text
Output Format:
Outputs reasoning within special tokens and provides final answer separately.
Performance Tips:
Use recommended system prompt for optimal results.
LLM NameReflection Llama 3.1 8B Solshine Trainround4 16bit
Repository 🤗https://huggingface.co/Solshine/reflection-llama-3.1-8B-Solshine-trainround4-16bit 
Base Model(s)  Solshine/reflection-llama-3.1-8B-Solshine-trainround3-16bit   Solshine/reflection-llama-3.1-8B-Solshine-trainround3-16bit
Model Size8b
Required VRAM16.1 GB
Updated2025-02-05
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

Quantized Models of the Reflection Llama 3.1 8B Solshine Trainround4 16bit

Model
Likes
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VRAM
Reflection Llama 3.1 8B54716 GB
...ion Llama 3.1 8B Solshine Full3716 GB

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Rank the Reflection Llama 3.1 8B Solshine Trainround4 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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Release v20241227
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