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Chargoddard Llama3 42B V0.4.0bpw EXL2 by lucyknada

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Chargoddard Llama3 42B V0.4.0bpw EXL2 is an open-source language model by lucyknada. Features: 42b LLM, VRAM: 23.4GB, Context: 8K, License: other, Quantized, LLM Explorer Score: 0.13.

  Arxiv:2403.17887   4-bit   Axolotl   Conversational   Dataset:jeankaddour/minipile   En   Endpoints compatible   Exl2   Llama   Mergekit   Pytorch   Quantized   Region:us   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/lucyknada/chargoddard_llama3-42b-v0-4.0bpw-EXL2 

Chargoddard Llama3 42B V0.4.0bpw EXL2 Benchmarks

LLME Score: 0.12769
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Chargoddard Llama3 42B V0.4.0bpw EXL2 (lucyknada/chargoddard_llama3-42b-v0-4.0bpw-EXL2)
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Chargoddard Llama3 42B V0.4.0bpw EXL2 Parameters and Internals

Model Type 
text generation
Additional Notes 
The model has been pruned to 42B parameters from the original 70B using novel pruning methodology and requires further evaluation.
Supported Languages 
en (high)
Training Details 
Data Sources:
JeanKaddour/minipile
Data Volume:
~100M tokens
Methodology:
Pruned using The Unreasonable Ineffectiveness of the Deeper Layers and PruneMe. Post-pruning training using QLoRA.
LLM NameChargoddard Llama3 42B V0.4.0bpw EXL2
Repository 🤗https://huggingface.co/lucyknada/chargoddard_llama3-42b-v0-4.0bpw-EXL2 
Model Size42b
Required VRAM23.4 GB
Updated2026-05-08
Maintainerlucyknada
Model Typellama
Model Files  8.5 GB: 1-of-3   8.5 GB: 2-of-3   6.4 GB: 3-of-3
Supported Languagesen
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Llama3 42B V08K / 86.8 GB34117
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Note: green Score (e.g. "73.2") means that the model is better than lucyknada/chargoddard_llama3-42b-v0-4.0bpw-EXL2.

Rank the Chargoddard Llama3 42B V0.4.0bpw EXL2 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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