What are the hardware requirements for Vertex 0.6 100M 8192 Instruct?

Vertex 0.6 100M 8192 Instruct requires approximately 0.4 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Vertex 0.6 100M 8192 Instruct and how large is it?

Vertex 0.6 100M 8192 Instruct is developed by VertexResearch, a model with 100m 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 100M 8192 Instruct?

Vertex 0.6 100M 8192 Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Vertex 0.6 100M 8192 Instruct by VertexResearch — VRAM 0.4GB, 8K context

Name: Vertex 0.6 100M 8192 Instruct
Author: VertexResearch

Vertex 0.6 100M 8192 Instruct is an open-source language model by VertexResearch. Features: 100m LLM, VRAM: 0.4GB, Context: 8K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.32.

Base model:finetune:vertexrese... Base model:vertexresearch/vert... Chat Conversational En Endpoints compatible Instruct Qwen3 Region:us Safetensors Tool-calling

Model Card on HF 🤗: https://huggingface.co/VertexResearch/Vertex-0.6-100M-8192-Instruct

Vertex 0.6 100M 8192 Instruct Parameters and Internals

LLM Name	Vertex 0.6 100M 8192 Instruct
Repository 🤗	https://huggingface.co/VertexResearch/Vertex-0.6-100M-8192-Instruct
Base Model(s)	VertexResearch/Vertex-0.6-100M-8192-ctx-Base VertexResearch/Vertex-0.6-100M-8192-ctx-Base
Model Size	100m
Required VRAM	0.4 GB
Updated	2026-08-27
Maintainer	VertexResearch
Model Type	qwen3
Instruction-Based	Yes
Model Files	0.4 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	5.15.1
Tokenizer Class	TokenizersBackend
Padding Token	<pad>
Vocabulary Size	32768

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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Code Generation
Multi-Language Support and Translation

Best Alternatives to Vertex 0.6 100M 8192 Instruct

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Supra2 100M Instruct	2K / 0.2 GB	1462	34

Note: green Score (e.g. "73.2") means that the model is better than VertexResearch/Vertex-0.6-100M-8192-Instruct.