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Kepler 8B Instruct V2 by intellectlabs

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Kepler 8B Instruct V2 is an open-source language model by intellectlabs. Features: 8b LLM, VRAM: 15.4GB, Context: 32K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.27.

  Merged Model Base model:finetune:intellectl... Base model:intellectlabs/keple...   Conversational   En   Gguf   Instruct   Llama.cpp   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/intellectlabs/Kepler-8B-Instruct-v2 

Kepler 8B Instruct V2 Benchmarks

LLME Score: 0.27183
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Kepler 8B Instruct V2 (intellectlabs/Kepler-8B-Instruct-v2)
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Kepler 8B Instruct V2 Parameters and Internals

LLM NameKepler 8B Instruct V2
Repository 🤗https://huggingface.co/intellectlabs/Kepler-8B-Instruct-v2 
Base Model(s)  Kepler 8B Instruct V2   intellectlabs/Kepler-8B-Instruct-v2
Merged ModelYes
Model Size8b
Required VRAM15.4 GB
Updated2026-07-20
Maintainerintellectlabs
Model Typeqwen2
Instruction-BasedYes
Model Files  1.1 GB: 1-of-9   2.0 GB: 2-of-9   1.9 GB: 3-of-9   1.9 GB: 4-of-9   1.9 GB: 5-of-9   1.9 GB: 6-of-9   1.9 GB: 7-of-9   1.9 GB: 8-of-9   0.9 GB: 9-of-9
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version5.0.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Errorsreplace

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Rank the Kepler 8B Instruct V2 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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Multi-Language Support and Translation  

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