What are the hardware requirements for Vertex 0.1 10M Base?

Vertex 0.1 10M Base requires a context window of 1K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Vertex 0.1 10M Base and how large is it?

Vertex 0.1 10M Base is developed by VertexResearch, a model with 10m 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 Vertex 0.1 10M Base?

Vertex 0.1 10M Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Vertex 0.1 10M Base by VertexResearch — 1K context

Name: Vertex 0.1 10M Base
Author: VertexResearch

Vertex 0.1 10M Base is an open-source language model by VertexResearch. Features: 10m LLM, Context: 1K, License: apache-2.0, LLM Explorer Score: 0.32.

Dataset:huggingfacefw/fineweb ... En Llama Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/VertexResearch/Vertex-0.1-10M-base

Vertex 0.1 10M Base Parameters and Internals

LLM Name	Vertex 0.1 10M Base
Repository 🤗	https://huggingface.co/VertexResearch/Vertex-0.1-10M-base
Model Size	10m
Required VRAM	0 GB
Updated	2026-08-26
Maintainer	VertexResearch
Model Type	llama
Model Files	0.0 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	1024
Model Max Length	1024
Transformers Version	5.14.1
Tokenizer Class	TokenizersBackend
Padding Token	<pad>
Vocabulary Size	32000

Rank the Vertex 0.1 10M Base capabilities

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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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