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Reflection Model by olabs-ai

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Model Card on HF 🤗: https://huggingface.co/olabs-ai/reflection_model 

Reflection Model Benchmarks

MMLU Pro: 25.68
GPQA: 6.71
MUSR: 5.75
BBH: 25.21
IFEval: 15.99 vs 88 (so35)-81.8%
MATH Lvl 5: 5.14
LLME Score: 0.23615
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Reflection Model (olabs-ai/reflection_model)

Reflection Model Parameters and Internals

Model Type 
text generation, causal-lm
Use Cases 
Applications:
conversational agents, content creation
Training Details 
Methodology:
LoRA (Low-Rank Adaptation)
Model Architecture:
LlamaForCausalLM
LLM NameReflection Model
Repository 🤗https://huggingface.co/olabs-ai/reflection_model 
Required VRAM0.2 GB
Updated2025-05-15
Maintainerolabs-ai
Model Files  0.2 GB
Model ArchitectureAdapter
Licenseapache-2.0
Model Max Length131072
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|k_proj|gate_proj|v_proj|down_proj|o_proj|up_proj
LoRA Alpha16
LoRA Dropout0
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than olabs-ai/reflection_model.

Rank the Reflection Model 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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