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My First Blend by pandego

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  Merged Model   Arxiv:2212.04089   Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational   Endpoints compatible   Instruct   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

My First Blend Benchmarks

ARC: 69.8 vs 96.7 (so35)-27.8%
HellaSwag: 82.93 vs 95.3 (gpt4)-13%
MMLU: 53.89 vs 88.3 (so35)-39%
TruthfulQA: 70.68 vs 59 (gpt4)19.8%
WinoGrande: 79.4 vs 87.5 (gpt4)-9.3%
GSM8K: 25.17 vs 96.4 (so35)-73.9%
LLME Score: 0.22813
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

My First Blend Parameters and Internals

LLM NameMy First Blend
Repository 🤗https://huggingface.co/pandego/my-first-blend 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.2   mistralai/Mistral-7B-Instruct-v0.2
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2024-09-07
Maintainerpandego
Model Typemistral
Instruction-BasedYes
Model Files  10.0 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
My First Blend (pandego/my-first-blend)

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...ty Instruct 3M 0613 Mistral 7B32K / 14.4 GB528410
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Note: green Score (e.g. "73.2") means that the model is better than pandego/my-first-blend.

Rank the My First Blend 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  
Code Generation  
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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