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

Vertex 0.6 100M 8192 Ctx Base 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 Ctx Base and how large is it?

Vertex 0.6 100M 8192 Ctx Base 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 Ctx Base?

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

Name: Vertex 0.6 100M 8192 Ctx Base
Author: VertexResearch

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

Base-model Conversational Dataset:openbmb/ultra-fineweb En Endpoints compatible Pretrained Qwen3 Region:us Safetensors

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

Vertex 0.6 100M 8192 Ctx Base Parameters and Internals

LLM Name	Vertex 0.6 100M 8192 Ctx Base
Repository 🤗	https://huggingface.co/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
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

Rank the Vertex 0.6 100M 8192 Ctx Base capabilities

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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
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Vertex 0.6 100M 8192 Ctx Base

Best Alternatives	Context / RAM	Downloads	Likes
Vertex 0.6 100M 8192 Instruct	8K / 0.4 GB	373	0
Supra2 100M Base	2K / 0.4 GB	110	21
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-ctx-Base.