What are the hardware requirements for CuttyMOA 1.3?

CuttyMOA 1.3 requires approximately 54.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed CuttyMOA 1.3 and how large is it?

CuttyMOA 1.3 is developed by sayeed105236, a model with 27b 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 CuttyMOA 1.3?

CuttyMOA 1.3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

CuttyMOA 1.3 by sayeed105236 — VRAM 54.7GB

Name: CuttyMOA 1.3
Author: sayeed105236

CuttyMOA 1.3 is an open-source language model by sayeed105236. Features: 27b LLM, VRAM: 54.7GB, License: apache-2.0, LLM Explorer Score: 0.29.

Base model:adapter:qwen/qwen3.... Base model:qwen/qwen3.8-27b Conversational Cuteadmoa Cuttymoa Dotprogrammers Endpoints compatible Finetuned Image-text-to-text Lora Mixture-of-experts Moa Qwen3 5 Region:us Safetensors Sft Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/sayeed105236/CuttyMOA-1.3

CuttyMOA 1.3 Parameters and Internals

LLM Name	CuttyMOA 1.3
Repository 🤗	https://huggingface.co/sayeed105236/CuttyMOA-1.3
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	54.7 GB
Updated	2026-09-23
Maintainer	sayeed105236
Model Files	1.3 GB 49.8 GB: 1-of-2 4.9 GB: 2-of-2
Model Architecture	AutoModelForMultimodalLM
License	apache-2.0
Model Max Length	262144
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	up_proj\|k_proj\|o_proj\|q_proj\|down_proj\|v_proj\|gate_proj
LoRA Alpha	128
LoRA Dropout	0.05
R Param	64
Errors	replace

Rank the CuttyMOA 1.3 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

Best Alternatives to CuttyMOA 1.3

Best Alternatives	Context / RAM	Downloads	Likes
GALX Titan 27B V2.0	0K / 0.4 GB	461	2
Moodle Qwen 27B 2500 Ultimate	0K / 18.2 GB	98	1
Qwen3.8 9B Instruct Turbo	0K / 23.4 GB	0	1