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LLama3 Lexi Aura 3Some SLERP SLERP Function Calling SLERP by Fischerboot

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LLama3 Lexi Aura 3Some SLERP SLERP Function Calling SLERP is an open-source language model by Fischerboot. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, Instruction-Based, Merged, LLM Explorer Score: 0.14.

  Merged Model Base model:fischerboot/llama3-... Base model:mzbac/llama-3-8b-in...   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Fischerboot/LLama3-Lexi-Aura-3Some-SLERP-SLERP-Function-calling-SLERP 

LLama3 Lexi Aura 3Some SLERP SLERP Function Calling SLERP Benchmarks

LLME Score: 0.14012
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LLama3 Lexi Aura 3Some SLERP SLERP Function Calling SLERP (Fischerboot/LLama3-Lexi-Aura-3Some-SLERP-SLERP-Function-calling-SLERP)
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LLama3 Lexi Aura 3Some SLERP SLERP Function Calling SLERP Parameters and Internals

Additional Notes 
This model is a merged version of pre-trained language models using the SLERP merge method.
LLM NameLLama3 Lexi Aura 3Some SLERP SLERP Function Calling SLERP
Repository 🤗https://huggingface.co/Fischerboot/LLama3-Lexi-Aura-3Some-SLERP-SLERP-Function-calling-SLERP 
Base Model(s)  mzbac/llama-3-8B-Instruct-function-calling-v0.2   ...a3 Lexi Aura 3Some SLERP SLERP   mzbac/llama-3-8B-Instruct-function-calling-v0.2   Fischerboot/LLama3-Lexi-Aura-3Some-SLERP-SLERP
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2026-03-29
MaintainerFischerboot
Model Typellama
Instruction-BasedYes
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
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Instruction Following and Task Automation  
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