What are the hardware requirements for Vertex 0.6 35M Base?

Vertex 0.6 35M Base requires approximately 0.1 GB of VRAM and supports a context window of 1K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Vertex 0.6 35M Base and how large is it?

Vertex 0.6 35M Base is developed by VertexResearch, a model with 35m 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 0.6 35M Base?

Vertex 0.6 35M Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Vertex 0.6 35M Base by VertexResearch — VRAM 0.1GB, 1K context

Name: Vertex 0.6 35M Base
Author: VertexResearch

Vertex 0.6 35M Base is an open-source language model by VertexResearch. Features: 35m LLM, VRAM: 0.1GB, Context: 1K, License: apache-2.0, LLM Explorer Score: 0.32.

Dataset:codeparrot/codeparrot-... Dataset:openbmb/ultra-fineweb-... En Endpoints compatible Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/VertexResearch/Vertex-0.6-35M-Base

Vertex 0.6 35M Base Parameters and Internals

LLM Name	Vertex 0.6 35M Base
Repository 🤗	https://huggingface.co/VertexResearch/Vertex-0.6-35M-Base
Model Size	35m
Required VRAM	0.1 GB
Updated	2026-08-27
Maintainer	VertexResearch
Model Type	qwen3
Model Files	0.1 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	1024
Model Max Length	1024
Transformers Version	5.15.1
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	32000

Rank the Vertex 0.6 35M 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

Best Alternatives to Vertex 0.6 35M Base

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Vertex 0.6 35M Instruct	1K / 0.1 GB	158	0