What are the hardware requirements for Slayer1B 1.00?

Slayer1B 1.00 requires approximately 4.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Slayer1B 1.00 and how large is it?

Slayer1B 1.00 is developed by SlayerLab, a model with 1.1b 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 Slayer1B 1.00?

Slayer1B 1.00 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Slayer1B 1.00 by SlayerLab — VRAM 4.3GB

Name: Slayer1B 1.00
Author: SlayerLab

Slayer1B 1.00 is an open-source language model by SlayerLab. Features: 1.1b LLM, VRAM: 4.3GB, License: apache-2.0, MoE.

Arxiv:2408.11029 Dataset:slayerlab/slayer-pl-8x... En From-scratch Moe Pl Polish Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/SlayerLab/Slayer1B-1.00

Slayer1B 1.00 Parameters and Internals

LLM Name	Slayer1B 1.00
Repository 🤗	https://huggingface.co/SlayerLab/Slayer1B-1.00
Model Size	1.1b
Required VRAM	4.3 GB
Updated	2026-10-27
Maintainer	SlayerLab
Model Files	4.3 GB
Supported Languages	pl en
License	apache-2.0

Rank the Slayer1B 1.00 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