What are the hardware requirements for MXLewd L2 20B AWQ?

MXLewd L2 20B AWQ requires approximately 10.9 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MXLewd L2 20B AWQ and how large is it?

MXLewd L2 20B AWQ is developed by TheBloke, a model with 20b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate MXLewd L2 20B AWQ?

MXLewd L2 20B AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MXLewd L2 20B AWQ by TheBloke — VRAM 10.9GB, 4K context

Name: MXLewd L2 20B AWQ
Author: TheBloke

MXLewd L2 20B AWQ is an open-source language model by TheBloke. Features: 20b LLM, VRAM: 10.9GB, Context: 4K, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.09.

4-bit Awq Base model:quantized:undi95/mx... Base model:undi95/mxlewd-l2-20... Llama Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/TheBloke/MXLewd-L2-20B-AWQ

MXLewd L2 20B AWQ Parameters and Internals

Model Type

llama

Additional Notes

The MXLewd L2 20B model has been quantized using the AWQ method for efficient and accurate low-bit weight quantization, specifically supporting 4-bit quantization. This allows faster transformer-based inference and the use of smaller GPUs for deployment and cost savings.

LLM Name	MXLewd L2 20B AWQ
Repository 🤗	https://huggingface.co/TheBloke/MXLewd-L2-20B-AWQ
Model Name	MXLewd L2 20B
Model Creator	Undi
Base Model(s)	MXLewd L2 20B Undi95/MXLewd-L2-20B
Model Size	20b
Required VRAM	10.9 GB
Updated	2026-05-19
Maintainer	TheBloke
Model Type	llama
Model Files	10.0 GB: 1-of-2 0.9 GB: 2-of-2
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
License	cc-by-nc-4.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.33.2
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the MXLewd L2 20B AWQ capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to MXLewd L2 20B AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Norocetacean 20B 10K AWQ	10K / 10.9 GB	11	2
Orca2myth7.2 AWQ	4K / 10.9 GB	7	3
DaringMaid 20B AWQ	4K / 10.9 GB	2	2
Rose Kimiko 20B AWQ	4K / 10.9 GB	0	1
Nethena 20B Glued AWQ	4K / 10.9 GB	4	2
Iambe Storyteller 20B AWQ	4K / 10.9 GB	7	1
Iambe 20B DARE AWQ	4K / 10.9 GB	3	1
Noromaid 20B V0.1.1 AWQ	4K / 10.9 GB	5	4
Rose 20B AWQ	4K / 10.9 GB	1	1
Nethena 20B AWQ	4K / 10.9 GB	8	2

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