What are the hardware requirements for JustRL II Base Model?

JustRL II Base Model requires approximately 5 GB of VRAM and supports a context window of 64K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed JustRL II Base Model and how large is it?

JustRL II Base Model is developed by openbmb. 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 JustRL II Base Model?

JustRL II Base Model is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

JustRL II Base Model by openbmb — VRAM 5GB, 64K context

Name: JustRL II Base Model
Author: openbmb

JustRL II Base Model is an open-source language model by openbmb. Features: LLM, VRAM: 5GB, Context: 64K, LLM Explorer Score: 0.32.

Conversational En Endpoints compatible Grpo Justrl Llama Long-cot Math Pytorch Reasoning Region:us Zh

Model Card on HF 🤗: https://huggingface.co/openbmb/JustRL-II-base-model

JustRL II Base Model Parameters and Internals

LLM Name	JustRL II Base Model
Repository 🤗	https://huggingface.co/openbmb/JustRL-II-base-model
Required VRAM	5 GB
Updated	2026-09-09
Maintainer	openbmb
Model Type	llama
Model Files	5.0 GB
Supported Languages	en zh
Model Architecture	LlamaForCausalLM
Context Length	65536
Model Max Length	65536
Transformers Version	4.46.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	</s>
Vocabulary Size	130560
Torch Data Type	bfloat16

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Instruction Following and Task Automation
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Data Analysis and Insight Generation
Text Generation
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Multi-Language Support and Translation

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