What are the hardware requirements for Lite Mistral 150M V2 Instruct?

Lite Mistral 150M V2 Instruct requires approximately 0.6 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 Lite Mistral 150M V2 Instruct and how large is it?

Lite Mistral 150M V2 Instruct is developed by OuteAI, a model with 150m 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 Mistral 150M V2 Instruct?

Lite Mistral 150M V2 Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Lite Mistral 150M V2 Instruct by OuteAI — VRAM 0.6GB, 2K context

Name: Lite Mistral 150M V2 Instruct
Author: OuteAI

Lite Mistral 150M V2 Instruct is an open-source language model by OuteAI. Features: 150m LLM, VRAM: 0.6GB, Context: 2K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.14.

Conversational Endpoints compatible Instruct Mistral Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/OuteAI/Lite-Mistral-150M-v2-Instruct

Lite Mistral 150M V2 Instruct Parameters and Internals

Use Cases

Limitations:

Struggles with complex or nuanced situations resulting in risk of inconsistent or inaccurate responses.

Considerations:

Model is sensitive to the chat template used.

Additional Notes

Model is designed to operate on a wide range of devices maintaining functionality and coherence for its compact size.

Training Details

Data Volume:

~8 billion tokens

Methodology:

Extended Training with tokenizer changes

Model Architecture:

Mistral architecture

Input Output

Input Format:

Chat format with specific template using roles system, user, and assistant.

Performance Tips:

Ensure correct chat template is used for optimal performance.

LLM Name	Lite Mistral 150M V2 Instruct
Repository 🤗	https://huggingface.co/OuteAI/Lite-Mistral-150M-v2-Instruct
Model Size	150m
Required VRAM	0.6 GB
Updated	2026-07-16
Maintainer	OuteAI
Model Type	mistral
Instruction-Based	Yes
Model Files	0.6 GB
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.41.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32768
Torch Data Type	float32

Rank the Lite Mistral 150M V2 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 Mistral 150M V2 Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Mistral 150M Instruct	32K / 0.7 GB	6	0
Sigmer 150M	2K / 0.3 GB	35	1
BabyHercules 150M	2K / 0.3 GB	24	0

Note: green Score (e.g. "73.2") means that the model is better than OuteAI/Lite-Mistral-150M-v2-Instruct.