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Meta Llama 3 8B GGUF Qx 0 Imatrix by AriWeinstein

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Meta Llama 3 8B GGUF Qx 0 Imatrix is an open-source language model by AriWeinstein. Features: 8b LLM, VRAM: 4.7GB, Context: 8K, License: llama3, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

  Conversational   Endpoints compatible   Gguf   Imatrix   Instruct   Llama   Q4   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/AriWeinstein/Meta-Llama-3-8B-GGUF-Qx_0-imatrix 

Meta Llama 3 8B GGUF Qx 0 Imatrix Benchmarks

LLME Score: 0.1328
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 GGUF Qx 0 Imatrix (AriWeinstein/Meta-Llama-3-8B-GGUF-Qx_0-imatrix)
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Meta Llama 3 8B GGUF Qx 0 Imatrix Parameters and Internals

Release Notes 
Notes:
Quantized version created using llama.cpp with revision a8f9b076316e16aadd0791015b3bfd446fe1e904 after "llama : fix BPE pre-tokenization (#6920)".
LLM NameMeta Llama 3 8B GGUF Qx 0 Imatrix
Repository 🤗https://huggingface.co/AriWeinstein/Meta-Llama-3-8B-GGUF-Qx_0-imatrix 
Model Size8b
Required VRAM4.7 GB
Updated2026-03-29
MaintainerAriWeinstein
Model Typellama
Instruction-BasedYes
Model Files  4.7 GB
GGUF QuantizationYes
Quantization Typegguf|q4
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than AriWeinstein/Meta-Llama-3-8B-GGUF-Qx_0-imatrix.

Rank the Meta Llama 3 8B GGUF Qx 0 Imatrix 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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