What are the hardware requirements for Lite Oute 1 300M Instruct?

Lite Oute 1 300M Instruct requires approximately 1.2 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Lite Oute 1 300M Instruct and how large is it?

Lite Oute 1 300M Instruct is developed by OuteAI, a model with 300m 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 Lite Oute 1 300M Instruct?

Lite Oute 1 300M Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Lite Oute 1 300M Instruct by OuteAI — VRAM 1.2GB, 4K context

Name: Lite Oute 1 300M Instruct
Author: OuteAI

Lite Oute 1 300M Instruct is an open-source language model by OuteAI. Features: 300m LLM, VRAM: 1.2GB, Context: 4K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.14.

Conversational Deploy:azure Endpoints compatible Instruct Mistral Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/OuteAI/Lite-Oute-1-300M-Instruct

Lite Oute 1 300M Instruct Parameters and Internals

LLM Name	Lite Oute 1 300M Instruct
Repository 🤗	https://huggingface.co/OuteAI/Lite-Oute-1-300M-Instruct
Model Size	300m
Required VRAM	1.2 GB
Updated	2026-08-08
Maintainer	OuteAI
Model Type	mistral
Instruction-Based	Yes
Model Files	1.2 GB
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.42.4
Tokenizer Class	LlamaTokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	32768
Torch Data Type	float32

Rank the Lite Oute 1 300M Instruct 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

Best Alternatives to Lite Oute 1 300M Instruct

Best Alternatives	Context / RAM	Downloads	Likes
...anese Mistral 300M Instruction	4K / 1.4 GB	3	3