What are the hardware requirements for Thor Lm 1B?

Thor Lm 1B requires approximately 1.8 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Thor Lm 1B and how large is it?

Thor Lm 1B is developed by Ultron28, a model with 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 Thor Lm 1B?

Thor Lm 1B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Thor Lm 1B by Ultron28 — VRAM 1.8GB, 2K context

Name: Thor Lm 1B
Author: Ultron28

Thor Lm 1B is an open-source language model by Ultron28. Features: 1b LLM, VRAM: 1.8GB, Context: 2K, License: apache-2.0.

A100-benchmarked Dataset:huggingfacefw/fineweb-... En Endpoints compatible Fineweb-edu Foundation-model Llama Optimizer Pytorch Region:us Spectral-momentum Thor Thor-lm

Model Card on HF 🤗: https://huggingface.co/Ultron28/thor-lm-1b

Thor Lm 1B Parameters and Internals

LLM Name	Thor Lm 1B
Repository 🤗	https://huggingface.co/Ultron28/thor-lm-1b
Model Name	THOR-LM-1B
Model Size	1b
Required VRAM	1.8 GB
Updated	2026-10-17
Maintainer	Ultron28
Model Type	thor-lm
Model Files	1.8 GB 3.7 GB
Supported Languages	en
Model Architecture	ThorLMForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Vocabulary Size	50304
Torch Data Type	bfloat16

Rank the Thor Lm 1B 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