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Mistral Grok Instract 2 7B Slerp by nasiruddin15

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  Merged Model   Autotrain compatible Base model:huggingfaceh4/mistr... Base model:mistralai/mistral-7...   Conversational   Endpoints compatible   Gguf   Huggingfaceh4/mistral-7b-grok   Instruct   Mistral Mistralai/mistral-7b-instruct-...   Region:us   Safetensors   Sharded   Tensorflow

Mistral Grok Instract 2 7B Slerp Benchmarks

ARC: 62.8 vs 96.7 (so35)-35.1%
HellaSwag: 83.03 vs 95.3 (gpt4)-12.9%
MMLU: 61.04 vs 88.3 (so35)-30.9%
TruthfulQA: 53.51 vs 59 (gpt4)-9.3%
WinoGrande: 76.95 vs 87.5 (gpt4)-12.1%
GSM8K: 39.88 vs 96.4 (so35)-58.6%
LLME Score: 0.22635
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistral Grok Instract 2 7B Slerp Parameters and Internals

LLM NameMistral Grok Instract 2 7B Slerp
Repository 🤗https://huggingface.co/nasiruddin15/Mistral-grok-instract-2-7B-slerp 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.2   Mistral 7B Grok   mistralai/Mistral-7B-Instruct-v0.2   HuggingFaceH4/mistral-7b-grok
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-09-16
Maintainernasiruddin15
Model Typemistral
Instruction-BasedYes
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
Mistral Grok Instract 2 7B Slerp (nasiruddin15/Mistral-grok-instract-2-7B-slerp)

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Note: green Score (e.g. "73.2") means that the model is better than nasiruddin15/Mistral-grok-instract-2-7B-slerp.

Rank the Mistral Grok Instract 2 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  
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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