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MXLewd L2 20B GPTQ by TheBloke

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MXLewd L2 20B GPTQ is an open-source language model by TheBloke. Features: 20b LLM, VRAM: 10.5GB, Context: 4K, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.09.

  4-bit Base model:quantized:undi95/mx... Base model:undi95/mxlewd-l2-20...   Gptq   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/MXLewd-L2-20B-GPTQ 

MXLewd L2 20B GPTQ Benchmarks

LLME Score: 0.09308
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MXLewd L2 20B GPTQ (TheBloke/MXLewd-L2-20B-GPTQ)
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MXLewd L2 20B GPTQ Parameters and Internals

Model Type 
llama
Additional Notes 
This model is a quantized version of the original model created by [Undi](https://huggingface.co/Undi95/MXLewd-L2-20B) and quantized by TheBloke.
Input Output 
Input Format:
Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:
LLM NameMXLewd L2 20B GPTQ
Repository 🤗https://huggingface.co/TheBloke/MXLewd-L2-20B-GPTQ 
Model NameMXLewd L2 20B
Model CreatorUndi
Base Model(s)  MXLewd L2 20B   Undi95/MXLewd-L2-20B
Model Size20b
Required VRAM10.5 GB
Updated2026-04-27
MaintainerTheBloke
Model Typellama
Model Files  10.5 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.33.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/MXLewd-L2-20B-GPTQ.

Rank the MXLewd L2 20B GPTQ 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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