What are the hardware requirements for Olmo3 190M Zh Full Continue?

Olmo3 190M Zh Full Continue requires approximately 0.4 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Olmo3 190M Zh Full Continue and how large is it?

Olmo3 190M Zh Full Continue is developed by MikeLee000, a model with 190m 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 Olmo3 190M Zh Full Continue?

Olmo3 190M Zh Full Continue is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Olmo3 190M Zh Full Continue by MikeLee000 — VRAM 0.4GB, 4K context

Name: Olmo3 190M Zh Full Continue
Author: MikeLee000

Olmo3 190M Zh Full Continue is an open-source language model by MikeLee000. Features: 190m LLM, VRAM: 0.4GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.32.

Base model:finetune:mikelee000... Base model:mikelee000/olmo3-19... Chinese Continued-pretraining Conversational Educational Endpoints compatible Olmo3 Region:us Safetensors Zh

Model Card on HF 🤗: https://huggingface.co/MikeLee000/olmo3-190m-zh-full-continue

Olmo3 190M Zh Full Continue Parameters and Internals

LLM Name	Olmo3 190M Zh Full Continue
Repository 🤗	https://huggingface.co/MikeLee000/olmo3-190m-zh-full-continue
Base Model(s)	Olmo3 190M Zh Full MikeLee000/olmo3-190m-zh-full
Model Size	190m
Required VRAM	0.4 GB
Updated	2026-10-03
Maintainer	MikeLee000
Model Type	olmo3
Model Files	0.4 GB
Supported Languages	zh
Model Architecture	Olmo3ForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	5.9.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	48000

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