What are the hardware requirements for Slayer149?

Slayer149 requires approximately 0.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Slayer149 and how large is it?

Slayer149 is developed by SlayerLab, a model with 148.9m 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 Slayer149?

Slayer149 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Slayer149 by SlayerLab — VRAM 0.6GB

Name: Slayer149
Author: SlayerLab

Slayer149 is an open-source language model by SlayerLab. Features: 148.9m LLM, VRAM: 0.6GB, License: apache-2.0, LLM Explorer Score: 0.3.

Base model:finetune:slayerlab/... Base model:slayerlab/gollem-v5... Continued-pretraining En Glint-tiny-ml-leaderboard Gollem Muon Pytorch Region:us Safetensors Tiny-lm Value-residual

Model Card on HF 🤗: https://huggingface.co/SlayerLab/Slayer149

Slayer149 Parameters and Internals

LLM Name	Slayer149
Repository 🤗	https://huggingface.co/SlayerLab/Slayer149
Base Model(s)	SlayerLab/gollem-v5-ckpts SlayerLab/gollem-v5-ckpts
Model Size	148.9m
Required VRAM	0.6 GB
Updated	2026-10-04
Maintainer	SlayerLab
Model Files	0.6 GB
Supported Languages	en
License	apache-2.0

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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