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HyperLexi 8B Breadcrumbs by bunnycore

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  Merged Model   Autotrain compatible Base model:bunnycore/hyperllam... Base model:orenguteng/llama-3.... Base model:solshine/reflection... Base model:unsloth/meta-llama-...   Codegen   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow   Uncensored
Model Card on HF 🤗: https://huggingface.co/bunnycore/HyperLexi-8B-breadcrumbs 

HyperLexi 8B Breadcrumbs Benchmarks

LLME Score: 0.22941
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
HyperLexi 8B Breadcrumbs (bunnycore/HyperLexi-8B-breadcrumbs)

HyperLexi 8B Breadcrumbs Parameters and Internals

Model Type 
Text Generation
Training Details 
Methodology:
Merged using breadcrumbs merge method
Input Output 
Accepted Modalities:
text
LLM NameHyperLexi 8B Breadcrumbs
Repository 🤗https://huggingface.co/bunnycore/HyperLexi-8B-breadcrumbs 
Base Model(s)  Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2   unsloth/Meta-Llama-3.1-8B   Replete-AI/Replete-Coder-V2-Llama-3.1-8b   bunnycore/HyperLlama-3.1-8B   Solshine/reflection-llama-3.1-8B-Solshine-trainround3-16bit   Replete-AI/Replete-LLM-V2-Llama-3.1-8b   Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2   unsloth/Meta-Llama-3.1-8B   Replete-AI/Replete-Coder-V2-Llama-3.1-8b   bunnycore/HyperLlama-3.1-8B   Solshine/reflection-llama-3.1-8B-Solshine-trainround3-16bit   Replete-AI/Replete-LLM-V2-Llama-3.1-8b
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2024-12-21
Maintainerbunnycore
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.44.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than bunnycore/HyperLexi-8B-breadcrumbs.

Rank the HyperLexi 8B Breadcrumbs Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241217
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