What are the hardware requirements for Vivo O V1?

Vivo O V1 requires approximately 232 GB of VRAM and supports a context window of 1024K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Vivo O V1 and how large is it?

Vivo O V1 is developed by wasmdashai, a model with 753.3b 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 Vivo O V1?

Vivo O V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Vivo O V1 by wasmdashai — VRAM 232GB, 1024K context

Name: Vivo O V1
Author: wasmdashai

Vivo O V1 is an open-source language model by wasmdashai. Features: 753.3b LLM, VRAM: 232GB, Context: 1024K, License: mit, MoE, Instruction-Based, LLM Explorer Score: 0.27.

Ar Base model:finetune:wasmdashai... Base model:wasmdashai/wasm-32b... Conversational En Endpoints compatible Eval-results Glm moe dsa Instruct Moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/wasmdashai/vivo-o-v1

Vivo O V1 Parameters and Internals

LLM Name	Vivo O V1
Repository 🤗	https://huggingface.co/wasmdashai/vivo-o-v1
Base Model(s)	zai-org/GLM-5.2 Wasm 32B Instruct V1 zai-org/GLM-5.2 wasmdashai/wasm-32B-Instruct-V1
Model Size	753.3b
Required VRAM	232 GB
Updated	2026-08-02
Maintainer	wasmdashai
Model Type	glm_moe_dsa
Instruction-Based	Yes
Model Files	5.3 GB: 1-of-282 5.3 GB: 2-of-282 5.4 GB: 3-of-282 5.4 GB: 4-of-282 5.4 GB: 5-of-282 5.4 GB: 6-of-282 5.4 GB: 7-of-282 5.4 GB: 8-of-282 5.4 GB: 9-of-282 5.4 GB: 10-of-282 5.4 GB: 11-of-282 5.4 GB: 12-of-282 5.4 GB: 13-of-282 5.4 GB: 14-of-282 5.4 GB: 15-of-282 5.4 GB: 16-of-282 5.4 GB: 17-of-282 5.4 GB: 18-of-282 5.4 GB: 19-of-282 5.4 GB: 20-of-282 5.4 GB: 21-of-282 5.4 GB: 22-of-282 5.4 GB: 23-of-282 5.4 GB: 24-of-282 5.4 GB: 25-of-282 5.4 GB: 26-of-282 5.4 GB: 27-of-282 5.4 GB: 28-of-282 5.4 GB: 29-of-282 5.4 GB: 30-of-282 5.4 GB: 31-of-282 5.4 GB: 32-of-282 5.4 GB: 33-of-282 5.4 GB: 34-of-282 5.4 GB: 35-of-282 5.4 GB: 36-of-282 5.4 GB: 37-of-282 5.4 GB: 38-of-282 5.4 GB: 39-of-282 5.4 GB: 40-of-282 5.4 GB: 41-of-282 5.4 GB: 42-of-282 5.4 GB: 43-of-282
Supported Languages	en ar
Model Architecture	GlmMoeDsaForCausalLM
License	mit
Context Length	1048576
Model Max Length	1048576
Transformers Version	5.12.0
Vocabulary Size	154880

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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