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Llama 3 Aplite Instruct 4x8B MoE by raincandy-u

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Llama 3 Aplite Instruct 4x8B MoE is an open-source language model by raincandy-u. Features: 8b LLM, VRAM: 50GB, Context: 8K, License: other, MoE, Instruction-Based, HF Score: 67, LLM Explorer Score: 0.15, Arc: 61.9, HellaSwag: 81.1, MMLU: 67.5, TruthfulQA: 51.9, WinoGrande: 77.8, GSM8K: 61.9.

Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Code   Conversational   En   Endpoints compatible   Facebook   Instruct   Llama   Llama-3   Meta   Mixtral   Model-index   Moe   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/raincandy-u/Llama-3-Aplite-Instruct-4x8B-MoE 

Llama 3 Aplite Instruct 4x8B MoE Benchmarks

ARC: 61.86 vs 96.7 (so35)-36%
HellaSwag: 81.08 vs 95.3 (gpt4)-14.9%
MMLU: 67.47 vs 88.3 (so35)-23.6%
TruthfulQA: 51.87 vs 59 (gpt4)-12.1%
WinoGrande: 77.82 vs 87.5 (gpt4)-11.1%
GSM8K: 61.87 vs 96.4 (so35)-35.8%
LLME Score: 0.14746
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 Aplite Instruct 4x8B MoE (raincandy-u/Llama-3-Aplite-Instruct-4x8B-MoE)
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Llama 3 Aplite Instruct 4x8B MoE Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model is a research experiment and may generate incorrect or harmful content. Outputs should not be taken as factual or representative of the views of the model's creator or any individual.
Training Details 
Data Sources:
Meta-Llama-3-8B-Instruct, Llama3-8B-OpenHermes-DPO, Llama-3-SLERP-8B, hf-llama3-8b-orpo-v0.0
LLM NameLlama 3 Aplite Instruct 4x8B MoE
Repository 🤗https://huggingface.co/raincandy-u/Llama-3-Aplite-Instruct-4x8B-MoE 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM50 GB
Updated2026-04-10
Maintainerraincandy-u
Model Typemixtral
Instruction-BasedYes
Model Files  9.9 GB: 1-of-6   10.0 GB: 2-of-6   10.0 GB: 3-of-6   9.9 GB: 4-of-6   9.1 GB: 5-of-6   1.1 GB: 6-of-6
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.39.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|begin_of_text|>
Vocabulary Size128256
Torch Data Typefloat16

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Rank the Llama 3 Aplite Instruct 4x8B MoE 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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