Jupiter K 7B Slerp by Kukedlc

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Jupiter K 7B Slerp is an open-source language model by Kukedlc. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.13, Arc: 74.2, HellaSwag: 88.8, MMLU: 65, GSM8K: 70.5.

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

Jupiter K 7B Slerp Benchmarks

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
Updated2026-05-20
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

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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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Release v20260328a