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Magic Dolphin 7B by InferenceIllusionist

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  Arxiv:2203.05482   Autotrain compatible Base model:cognitivecomputatio...   Base model:ibm/merlinite-7b Base model:locutusque/hyperion... Base model:merge:cognitivecomp... Base model:merge:ibm/merlinite... Base model:merge:locutusque/hy...   Code   Endpoints compatible   Merge   Mergekit   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/InferenceIllusionist/Magic-Dolphin-7b 

Magic Dolphin 7B Benchmarks

ARC: 65.78 vs 96.7 (so35)-32%
HellaSwag: 85.61 vs 95.3 (gpt4)-10.2%
MMLU: 64.64 vs 88.3 (so35)-26.8%
TruthfulQA: 58.01 vs 59 (gpt4)-1.7%
WinoGrande: 79.64 vs 87.5 (gpt4)-9%
GSM8K: 51.18 vs 96.4 (so35)-46.9%
LLME Score: 0.20648
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Magic Dolphin 7B (InferenceIllusionist/Magic-Dolphin-7b)

Magic Dolphin 7B Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model is a linear merge of three base models and is tested for LAB tuning.
LLM NameMagic Dolphin 7B
Repository 🤗https://huggingface.co/InferenceIllusionist/Magic-Dolphin-7b 
Base Model(s)  cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser   Locutusque/Hyperion-1.5-Mistral-7B   Merlinite 7B   cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser   Locutusque/Hyperion-1.5-Mistral-7B   ibm/merlinite-7b
Model Size7b
Required VRAM14.4 GB
Updated2024-12-22
MaintainerInferenceIllusionist
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than InferenceIllusionist/Magic-Dolphin-7b.

Rank the Magic Dolphin 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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