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Jupiter K 7B Slerp by Kukedlc

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  Merged Model   Autotrain compatible   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Jupiter K 7B Slerp Benchmarks

ARC: 74.23 vs 96.7 (so35)-23.2%
HellaSwag: 88.82 vs 95.3 (gpt4)-6.8%
MMLU: 65.01 vs 88.3 (so35)-26.4%
TruthfulQA: 73.96 vs 59 (gpt4)25.4%
WinoGrande: 85.24 vs 87.5 (gpt4)-2.6%
GSM8K: 70.51 vs 96.4 (so35)-26.9%
LLME Score: 0.19631
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Jupiter K 7B Slerp Parameters and Internals

Model Type 
text generation
Input Output 
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Utilizes 4bit quantization for efficiency.
LLM NameJupiter K 7B Slerp
Repository 🤗https://huggingface.co/Kukedlc/Jupiter-k-7B-slerp 
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2024-11-21
MaintainerKukedlc
Model Typemistral
Model Files  9.8 GB: 1-of-2   4.7 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16
Jupiter K 7B Slerp (Kukedlc/Jupiter-k-7B-slerp)

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

Rank the Jupiter K 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 v20241110
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