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Meta Llama 3 8B Instruct Abliterated V3 GPTQ 4bit by chplushsieh

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Meta Llama 3 8B Instruct Abliterated V3 GPTQ 4bit is an open-source language model by chplushsieh. Features: 8b LLM, VRAM: 5.8GB, Context: 8K, License: llama3, Quantized, Instruction-Based, HF Score: 67.3, LLM Explorer Score: 0.15, Arc: 61.6, HellaSwag: 78.4, MMLU: 66.7, TruthfulQA: 52.4, WinoGrande: 74.5, GSM8K: 70.1.

  4-bit   4bit   Conversational   Endpoints compatible   Gptq   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/chplushsieh/Meta-Llama-3-8B-Instruct-abliterated-v3-GPTQ-4bit 

Meta Llama 3 8B Instruct Abliterated V3 GPTQ 4bit Benchmarks

ARC: 61.6 vs 96.7 (so35)-36.3%
HellaSwag: 78.35 vs 95.3 (gpt4)-17.8%
MMLU: 66.67 vs 88.3 (so35)-24.5%
TruthfulQA: 52.44 vs 59 (gpt4)-11.1%
WinoGrande: 74.51 vs 87.5 (gpt4)-14.8%
GSM8K: 70.05 vs 96.4 (so35)-27.3%
LLME Score: 0.14944
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3 8B Instruct Abliterated V3 GPTQ 4bit (chplushsieh/Meta-Llama-3-8B-Instruct-abliterated-v3-GPTQ-4bit)
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Meta Llama 3 8B Instruct Abliterated V3 GPTQ 4bit Parameters and Internals

Model Type 
quantized
Additional Notes 
Quantized with 'wikitext2' dataset.
LLM NameMeta Llama 3 8B Instruct Abliterated V3 GPTQ 4bit
Repository 🤗https://huggingface.co/chplushsieh/Meta-Llama-3-8B-Instruct-abliterated-v3-GPTQ-4bit 
Base Model(s)  ...a 3 8B Instruct Abliterated V3   failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
Model Size8b
Required VRAM5.8 GB
Updated2026-04-16
Maintainerchplushsieh
Model Typellama
Instruction-BasedYes
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.2
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 chplushsieh/Meta-Llama-3-8B-Instruct-abliterated-v3-GPTQ-4bit.

Rank the Meta Llama 3 8B Instruct Abliterated V3 GPTQ 4bit 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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