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Llama 3.1 8B RainbowLight EtherealMix by ZeroXClem

 »  All LLMs  »  ZeroXClem  »  Llama 3.1 8B RainbowLight EtherealMix   URL Share it on

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Llama 3.1 8B RainbowLight EtherealMix is an open-source language model by ZeroXClem. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: apache-2.0, Merged, LLM Explorer Score: 0.24.

  Merged Model Base model:invisietch/ethereal... Base model:zeroxclem/llama-3.1...   Conversational   En   Endpoints compatible Invisietch/etherealrainbow-v0....   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow Zeroxclem/llama-3.1-8b-superno...
Model Card on HF 🤗: https://huggingface.co/ZeroXClem/Llama-3.1-8B-RainbowLight-EtherealMix 

Llama 3.1 8B RainbowLight EtherealMix Benchmarks

LLME Score: 0.24421
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.1 8B RainbowLight EtherealMix (ZeroXClem/Llama-3.1-8B-RainbowLight-EtherealMix)
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Llama 3.1 8B RainbowLight EtherealMix Parameters and Internals

LLM NameLlama 3.1 8B RainbowLight EtherealMix
Repository 🤗https://huggingface.co/ZeroXClem/Llama-3.1-8B-RainbowLight-EtherealMix 
Base Model(s)  ZeroXClem/Llama-3.1-8B-SuperNova-EtherealHermes   invisietch/EtherealRainbow-v0.3-8B   ZeroXClem/Llama-3.1-8B-SuperNova-EtherealHermes   invisietch/EtherealRainbow-v0.3-8B
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2026-04-23
MaintainerZeroXClem
Model Typellama
Model Files  1.1 GB: 1-of-17   1.1 GB: 2-of-17   1.0 GB: 3-of-17   1.0 GB: 4-of-17   1.0 GB: 5-of-17   0.9 GB: 6-of-17   1.0 GB: 7-of-17   1.0 GB: 8-of-17   1.0 GB: 9-of-17   0.9 GB: 10-of-17   1.0 GB: 11-of-17   1.0 GB: 12-of-17   1.0 GB: 13-of-17   0.9 GB: 14-of-17   1.0 GB: 15-of-17   1.0 GB: 16-of-17   0.2 GB: 17-of-17
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.48.3
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Rank the Llama 3.1 8B RainbowLight EtherealMix 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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