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Starling LM 11B Alpha by CallComply

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  Arxiv:2306.02231   Autotrain compatible   Conversational   Dataset:berkeley-nest/nectar   En   Endpoints compatible   Mistral   Model-index   Region:us   Reward model   Rlaif   Rlhf   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/CallComply/Starling-LM-11B-alpha 

Starling LM 11B Alpha Benchmarks

ARC: 61.26 vs 96.7 (so35)-36.6%
HellaSwag: 81.99 vs 95.3 (gpt4)-14%
MMLU: 61.5 vs 88.3 (so35)-30.4%
TruthfulQA: 41.53 vs 59 (gpt4)-29.6%
WinoGrande: 78.06 vs 87.5 (gpt4)-10.8%
GSM8K: 35.18 vs 96.4 (so35)-63.5%
LLME Score: 0.19024
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Starling LM 11B Alpha (CallComply/Starling-LM-11B-alpha)

Starling LM 11B Alpha Parameters and Internals

Model Type 
Language Model, Text Generation
Use Cases 
Areas:
Research, Non-commercial applications
Primary Use Cases:
Text generation
Considerations:
Please use the exact chat template provided for optimal performance.
Additional Notes 
The dataset and model are a research preview intended for non-commercial use only.
Training Details 
Data Sources:
berkeley-nest/Nectar
Methodology:
Reinforcement Learning from AI Feedback (RLAIF)
Input Output 
Input Format:
Please use the exact chat template provided for optimal performance.
Accepted Modalities:
Text
Output Format:
Text
Performance Tips:
Setting temperature = 0 is recommended to reduce verbosity.
LLM NameStarling LM 11B Alpha
Repository 🤗https://huggingface.co/CallComply/Starling-LM-11B-alpha 
Model Size11b
Required VRAM21.4 GB
Updated2025-02-05
MaintainerCallComply
Model Typemistral
Model Files  4.9 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   1.7 GB: 5-of-5
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32769
Model Max Length32769
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<|end_of_turn|>
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than CallComply/Starling-LM-11B-alpha.

Rank the Starling LM 11B Alpha 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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