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Llama 3 Lumimaid 8B V0.1 AWQ by solidrust

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Llama 3 Lumimaid 8B V0.1 AWQ is an open-source language model by solidrust. Features: 8b LLM, VRAM: 5.8GB, Context: 8K, Quantized, LLM Explorer Score: 0.14, Arc: 61.1, HellaSwag: 79.6, MMLU: 67.5, GSM8K: 66.2.

  4-bit   Autotrain compatible   Awq Base model:neversleep/llama-3-... Base model:quantized:neverslee...   Conversational   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/solidrust/Llama-3-Lumimaid-8B-v0.1-AWQ 

Llama 3 Lumimaid 8B V0.1 AWQ Benchmarks

ARC: 61.09 vs 96.7 (so35)-36.8%
HellaSwag: 79.63 vs 95.3 (gpt4)-16.4%
MMLU: 67.52 vs 88.3 (so35)-23.5%
GSM8K: 66.19 vs 96.4 (so35)-31.3%
LLME Score: 0.14242
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 Lumimaid 8B V0.1 AWQ (solidrust/Llama-3-Lumimaid-8B-v0.1-AWQ)
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Llama 3 Lumimaid 8B V0.1 AWQ Parameters and Internals

Model Type 
text-generation
Additional Notes 
Model quantized by Suparious using AWQ for efficient and fast low-bit weight quantization, supporting 4-bit quantization. AWQ is faster than GPTQ for Transformers-based inference with similar or better quality.
LLM NameLlama 3 Lumimaid 8B V0.1 AWQ
Repository 🤗https://huggingface.co/solidrust/Llama-3-Lumimaid-8B-v0.1-AWQ 
Base Model(s)  NeverSleep/Llama-3-Lumimaid-8B-v0.1   NeverSleep/Llama-3-Lumimaid-8B-v0.1
Model Size8b
Required VRAM5.8 GB
Updated2026-05-06
Maintainersolidrust
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than solidrust/Llama-3-Lumimaid-8B-v0.1-AWQ.

Rank the Llama 3 Lumimaid 8B V0.1 AWQ 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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