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YamshadowExperiment28 7B by automerger

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  Merged Model   Autotrain compatible Base model:yam-peleg/experimen...   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

YamshadowExperiment28 7B Benchmarks

ARC: 73.29-23.9%
HellaSwag: 89.25-6.3%
MMLU: 64.38-25.6%
TruthfulQA: 78.5333.1%
WinoGrande: 85.24-2.6%
GSM8K: 70.51-23.4%
nn.n% — How the model compares to the GPT-4.

YamshadowExperiment28 7B Parameters and Internals

LLM NameYamshadowExperiment28 7B
RepositoryOpen on 🤗 
Base Model(s)  YamShadow 7B   Experiment28 7B   automerger/YamShadow-7B   yam-peleg/Experiment28-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-07-27
Maintainerautomerger
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 Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
YamshadowExperiment28 7B (automerger/YamshadowExperiment28-7B)

Quantized Models of the YamshadowExperiment28 7B

Model
Likes
Downloads
VRAM
YamshadowExperiment28 7B GGUF01452 GB

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Rank the YamshadowExperiment28 7B 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 v2024072501
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