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StarMix 7B Slerp by Praneeth

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  Merged Model   Autotrain compatible Base model:berkeley-nest/starl... Base model:mistralai/mistral-7... Berkeley-nest/starling-lm-7b-a...   Conversational   Endpoints compatible   Instruct   Mistral Mistralai/mistral-7b-instruct-...   Model-index   Region:us   Safetensors   Sharded   Tensorflow

StarMix 7B Slerp Benchmarks

ARC: 65.36 vs 96.7 (so35)-32.4%
HellaSwag: 85.1 vs 95.3 (gpt4)-10.7%
MMLU: 62.57 vs 88.3 (so35)-29.1%
TruthfulQA: 57.81 vs 59 (gpt4)-2%
WinoGrande: 79.95 vs 87.5 (gpt4)-8.6%
GSM8K: 53.68 vs 96.4 (so35)-44.3%
LLME Score: 0.19435
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

StarMix 7B Slerp Parameters and Internals

LLM NameStarMix 7B Slerp
Repository 🤗https://huggingface.co/Praneeth/StarMix-7B-slerp 
Base Model(s)  Starling LM 7B Alpha   mistralai/Mistral-7B-Instruct-v0.2   berkeley-nest/Starling-LM-7B-alpha   mistralai/Mistral-7B-Instruct-v0.2
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2024-10-08
MaintainerPraneeth
Model Typemistral
Instruction-BasedYes
Model Files  1.9 GB: 1-of-8   2.0 GB: 2-of-8   2.0 GB: 3-of-8   1.9 GB: 4-of-8   2.0 GB: 5-of-8   2.0 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
StarMix 7B Slerp (Praneeth/StarMix-7B-slerp)

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

Rank the StarMix 7B Slerp 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  
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Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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