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NexusMistral2 7B Slerp by allknowingroger

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  Merged Model   Autotrain compatible Base model:mistralai/mistral-7... Base model:nexusflow/starling-...   Conversational   Endpoints compatible   Instruct   Mistral Mistralai/mistral-7b-instruct-...   Nexusflow/starling-lm-7b-beta   Region:us   Safetensors   Sharded   Tensorflow

NexusMistral2 7B Slerp Benchmarks

ARC: 66.3 vs 96.7 (so35)-31.4%
HellaSwag: 84.74 vs 95.3 (gpt4)-11.1%
MMLU: 62.97 vs 88.3 (so35)-28.7%
TruthfulQA: 60.82 vs 59 (gpt4)3.1%
WinoGrande: 79.56 vs 87.5 (gpt4)-9.1%
GSM8K: 54.66 vs 96.4 (so35)-43.3%
LLME Score: 0.21025
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

NexusMistral2 7B Slerp Parameters and Internals

LLM NameNexusMistral2 7B Slerp
Repository 🤗https://huggingface.co/allknowingroger/NexusMistral2-7B-slerp 
Base Model(s)  Starling LM 7B Beta   mistralai/Mistral-7B-Instruct-v0.2   Nexusflow/Starling-LM-7B-beta   mistralai/Mistral-7B-Instruct-v0.2
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-10-18
Maintainerallknowingroger
Model Typemistral
Instruction-BasedYes
Model Files  2.0 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   1.9 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 Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
NexusMistral2 7B Slerp (allknowingroger/NexusMistral2-7B-slerp)

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Note: green Score (e.g. "73.2") means that the model is better than allknowingroger/NexusMistral2-7B-slerp.

Rank the NexusMistral2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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