What are the hardware requirements for QueenLiz 120B?

QueenLiz 120B requires approximately 240.9 GB of VRAM and supports a context window of 31K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed QueenLiz 120B and how large is it?

QueenLiz 120B is developed by Noodlz, a model with 120b 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 QueenLiz 120B?

QueenLiz 120B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

QueenLiz 120B by Noodlz — VRAM 240.9GB, 31K context

Name: QueenLiz 120B
Author: Noodlz

QueenLiz 120B is an open-source language model by Noodlz. Features: 120b LLM, VRAM: 240.9GB, Context: 31K, Merged, LLM Explorer Score: 0.12.

Merged Model Arxiv:2203.05482 Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Noodlz/QueenLiz-120B

QueenLiz 120B Parameters and Internals

Model Type

transformer, language generation

Additional Notes

Merges pre-trained models Quartet70B and Lzlv 70B using mergekit.

Training Details

Methodology:

linear merge

Context Length:

32768

LLM Name	QueenLiz 120B
Repository 🤗	https://huggingface.co/Noodlz/QueenLiz-120B
Merged Model	Yes
Model Size	120b
Required VRAM	240.9 GB
Updated	2026-08-01
Maintainer	Noodlz
Model Type	llama
Model Files	10.0 GB: 1-of-25 10.0 GB: 2-of-25 10.0 GB: 3-of-25 9.6 GB: 4-of-25 10.0 GB: 5-of-25 9.7 GB: 6-of-25 10.0 GB: 7-of-25 9.8 GB: 8-of-25 10.0 GB: 9-of-25 10.0 GB: 10-of-25 10.0 GB: 11-of-25 9.8 GB: 12-of-25 9.6 GB: 13-of-25 9.8 GB: 14-of-25 9.8 GB: 15-of-25 9.7 GB: 16-of-25 9.8 GB: 17-of-25 9.8 GB: 18-of-25 9.6 GB: 19-of-25 9.7 GB: 20-of-25 9.6 GB: 21-of-25 9.7 GB: 22-of-25 9.9 GB: 23-of-25 10.0 GB: 24-of-25 5.0 GB: 25-of-25
Model Architecture	LlamaForCausalLM
Context Length	32764
Model Max Length	32764
Transformers Version	4.39.0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the QueenLiz 120B 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

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Note: green Score (e.g. "73.2") means that the model is better than Noodlz/QueenLiz-120B.