What are the hardware requirements for Compartmentalized Harm V1 Qwen3 8B Seed43?

Compartmentalized Harm V1 Qwen3 8B Seed43 requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Compartmentalized Harm V1 Qwen3 8B Seed43 and how large is it?

Compartmentalized Harm V1 Qwen3 8B Seed43 is developed by daios, a model with 8b 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 Compartmentalized Harm V1 Qwen3 8B Seed43?

Compartmentalized Harm V1 Qwen3 8B Seed43 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Compartmentalized Harm V1 Qwen3 8B Seed43 by daios — VRAM 0.2GB

Name: Compartmentalized Harm V1 Qwen3 8B Seed43
Author: daios

Compartmentalized Harm V1 Qwen3 8B Seed43 is an open-source language model by daios. Features: 8b LLM, VRAM: 0.2GB, License: apache-2.0, LLM Explorer Score: 0.25.

Adapter Base model:adapter:qwen/qwen3-... Base model:qwen/qwen3-8b Character-training Compartmentalized-harm Conversational Finetuned Lora Peft Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/daios/compartmentalized-harm-v1-qwen3-8b-seed43

Compartmentalized Harm V1 Qwen3 8B Seed43 Parameters and Internals

LLM Name	Compartmentalized Harm V1 Qwen3 8B Seed43
Repository 🤗	https://huggingface.co/daios/compartmentalized-harm-v1-qwen3-8b-seed43
Base Model(s)	Qwen3 8B Qwen/Qwen3-8B
Model Size	8b
Required VRAM	0.2 GB
Updated	2026-09-05
Maintainer	daios
Model Files	0.2 GB
Model Architecture	Adapter
License	apache-2.0
Model Max Length	40960
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|gate_proj\|v_proj\|k_proj\|up_proj\|down_proj\|o_proj
LoRA Alpha	16
LoRA Dropout	0.05
R Param	16
Errors	replace

Rank the Compartmentalized Harm V1 Qwen3 8B Seed43 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 daios/compartmentalized-harm-v1-qwen3-8b-seed43.