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StableBeluga 7B by stabilityai

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StableBeluga 7B is an open-source language model by stabilityai. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, HF Score: 53.6, LLM Explorer Score: 0.13, Arc: 56.3, HellaSwag: 79.1, MMLU: 52.7, TruthfulQA: 50.2, WinoGrande: 75.2, GSM8K: 7.8.

  Arxiv:2306.02707   Arxiv:2307.09288 Dataset:conceptofmind/cot subm... Dataset:conceptofmind/flan2021... Dataset:conceptofmind/niv2 sub... Dataset:conceptofmind/t0 submi...   Deploy:azure   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/stabilityai/StableBeluga-7B 

StableBeluga 7B Benchmarks

ARC: 56.31 vs 96.7 (so35)-41.8%
HellaSwag: 79.14 vs 95.3 (gpt4)-17%
MMLU: 52.71 vs 88.3 (so35)-40.3%
TruthfulQA: 50.19 vs 59 (gpt4)-14.9%
WinoGrande: 75.22 vs 87.5 (gpt4)-14%
GSM8K: 7.81 vs 96.4 (so35)-91.9%
LLME Score: 0.12942
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
StableBeluga 7B (stabilityai/StableBeluga-7B)
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StableBeluga 7B Parameters and Internals

Model Type 
auto-regressive language model, text generation
Use Cases 
Areas:
research, commercial applications
Limitations:
Testing conducted to date has been in English and has not covered all scenarios, model may produce inaccurate, biased, or objectionable responses
Considerations:
developers should perform safety testing and tuning tailored to their specific applications
Additional Notes 
Beluga is a new technology that carries risks with use.
Supported Languages 
English (full proficiency)
Training Details 
Data Sources:
Orca-style dataset
Methodology:
supervised fine-tuning with mixed-precision (BF16)
Input Output 
Input Format:
### System: This is a system prompt, please behave and help the user. ### User: Your prompt here
Accepted Modalities:
text
Output Format:
The output of Stable Beluga 7B
LLM NameStableBeluga 7B
Repository 🤗https://huggingface.co/stabilityai/StableBeluga-7B 
Model Size7b
Required VRAM13.5 GB
Updated2026-03-29
Maintainerstabilityai
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than stabilityai/StableBeluga-7B.

Rank the StableBeluga 7B 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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