What are the hardware requirements for Open Lm 3B 201305 Midtrain?

Open Lm 3B 201305 Midtrain requires approximately 5.6 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 Open Lm 3B 201305 Midtrain and how large is it?

Open Lm 3B 201305 Midtrain is developed by dogtooth, a model with 3b 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 Open Lm 3B 201305 Midtrain?

Open Lm 3B 201305 Midtrain is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Open Lm 3B 201305 Midtrain by dogtooth — VRAM 5.6GB, 2K context

Name: Open Lm 3B 201305 Midtrain
Author: dogtooth

Open Lm 3B 201305 Midtrain is an open-source language model by dogtooth. Features: 3b LLM, VRAM: 5.6GB, Context: 2K, License: apple-ascl, LLM Explorer Score: 0.23.

Arxiv:2410.14660 Base model:dogtooth/open-lm-3b... Base model:finetune:dogtooth/o... Chrononauts Conversational Custom code Feature-extraction Mid-train Open-lm Open lm Region:us Safetensors Sharded Temporal Tensorflow Tic-lm

Model Card on HF 🤗: https://huggingface.co/dogtooth/open-lm-3b-201305-midtrain

Open Lm 3B 201305 Midtrain Parameters and Internals

LLM Name	Open Lm 3B 201305 Midtrain
Repository 🤗	https://huggingface.co/dogtooth/open-lm-3b-201305-midtrain
Base Model(s)	Open Lm 3B 201305 dogtooth/open-lm-3b-201305
Model Size	3b
Required VRAM	5.6 GB
Updated	2026-08-08
Maintainer	dogtooth
Model Type	open_lm
Model Files	5.0 GB: 1-of-2 0.6 GB: 2-of-2
Model Architecture	OpenLMForCausalLM
License	apple-ascl
Context Length	2048
Model Max Length	2048
Transformers Version	4.57.1
Tokenizer Class	GPTNeoXTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	50432

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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

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