What are the hardware requirements for Kataguru Sceptic Quality Inspector V1.0 AWQ?

Kataguru Sceptic Quality Inspector V1.0 AWQ requires approximately 26.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Kataguru Sceptic Quality Inspector V1.0 AWQ and how large is it?

Kataguru Sceptic Quality Inspector V1.0 AWQ is developed by kataguru, a model with 35b 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 Kataguru Sceptic Quality Inspector V1.0 AWQ?

Kataguru Sceptic Quality Inspector V1.0 AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Kataguru Sceptic Quality Inspector V1.0 AWQ by kataguru — VRAM 26.1GB

Name: Kataguru Sceptic Quality Inspector V1.0 AWQ
Author: kataguru

Kataguru Sceptic Quality Inspector V1.0 AWQ is an open-source language model by kataguru. Features: 35b LLM, VRAM: 26.1GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.29.

Awq Compressed-tensors Conversational En Fi Kataguru Llm-as-a-judge Moe Quality-inspector Quantized Qwen3.5 Qwen3 5 moe Reasoning Region:us Safetensors Sceptic Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/kataguru/Kataguru-Sceptic-Quality-Inspector-v1.0-AWQ

Kataguru Sceptic Quality Inspector V1.0 AWQ Parameters and Internals

LLM Name	Kataguru Sceptic Quality Inspector V1.0 AWQ
Repository 🤗	https://huggingface.co/kataguru/Kataguru-Sceptic-Quality-Inspector-v1.0-AWQ
Base Model(s)	kataguru/Qwen3.5-35B-A3B-Sceptic-v3.5-BF16 kataguru/Qwen3.5-35B-A3B-Sceptic-v3.5-BF16
Model Size	35b
Required VRAM	26.1 GB
Updated	2026-10-06
Maintainer	kataguru
Model Type	qwen3_5_moe
Model Files	4.5 GB: 1-of-6 4.5 GB: 2-of-6 4.5 GB: 3-of-6 4.5 GB: 4-of-6 4.5 GB: 5-of-6 3.6 GB: 6-of-6
Supported Languages	fi en
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.5.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Kataguru Sceptic Quality Inspector V1.0 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 Kataguru Sceptic Quality Inspector V1.0 AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 35B A3B AWQ	0K / 25.5 GB	1020709	32
Qwen3.6 35B A3B AWQ 4bit	0K / 25 GB	1010785	93
Ornith 1.5 35B A3B AWQ INT4	0K / 24.4 GB	2008	1
Ornith 1.5 35B A3B AWQ INT4	0K / 26.2 GB	833	3
...AT Coder V2.5 Dev OrnithVision	0K / 24.5 GB	280	0
Ornith 1.5 35B A3B AWQ FP8	0K / 39.8 GB	51	1
Qwen3.6 35B A3B MLX 4bit	0K / 20.5 GB	513193	6
Qwen3.6 35B A3B MLX 6bit	0K / 28.9 GB	478592	2
Qwen3.6 35B A3B MLX 8bit	0K / 37.8 GB	473537	1
Qwen3.6 35B A3B UD MLX 4bit	0K / 21.6 GB	15720	112

Note: green Score (e.g. "73.2") means that the model is better than kataguru/Kataguru-Sceptic-Quality-Inspector-v1.0-AWQ.