What are the hardware requirements for Embodied Navigator 7B GRPO?

Embodied Navigator 7B GRPO requires approximately 17.3 GB of VRAM and supports a context window of 125K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Embodied Navigator 7B GRPO and how large is it?

Embodied Navigator 7B GRPO is developed by UnderTides, a model with 7b 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 Embodied Navigator 7B GRPO?

Embodied Navigator 7B GRPO is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Embodied Navigator 7B GRPO by UnderTides — VRAM 17.3GB, 125K context

Name: Embodied Navigator 7B GRPO
Author: UnderTides

Embodied Navigator 7B GRPO is an open-source language model by UnderTides. Features: 7b LLM, VRAM: 17.3GB, Context: 125K, Instruction-Based, LLM Explorer Score: 0.27.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-vl-7b-... Conversational Embodied-ai En Endpoints compatible Grpo Image-text-to-text Instruct Qwen2.5-vl Qwen2 5 vl Region:us Robotics Safetensors Sharded Tensorflow Vision Vision-language Vision-language-navigation

Model Card on HF 🤗: https://huggingface.co/UnderTides/Embodied-Navigator-7B-GRPO

Embodied Navigator 7B GRPO Parameters and Internals

LLM Name	Embodied Navigator 7B GRPO
Repository 🤗	https://huggingface.co/UnderTides/Embodied-Navigator-7B-GRPO
Base Model(s)	Qwen/Qwen2.5-VL-7B-Instruct Qwen/Qwen2.5-VL-7B-Instruct
Model Size	7b
Required VRAM	17.3 GB
Updated	2026-08-20
Maintainer	UnderTides
Model Type	qwen2_5_vl
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 2.4 GB: 4-of-4 0.0 GB
Supported Languages	en
Model Architecture	Qwen2_5_VLForConditionalGeneration
Context Length	128000
Model Max Length	128000
Transformers Version	4.57.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Errors	replace

Rank the Embodied Navigator 7B GRPO capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Embodied Navigator 7B GRPO

Best Alternatives	Context / RAM	Downloads	Likes
OmniLong Qwen2.5 VL 7B	512K / 16.6 GB	7	2
Qwen2.5 VL 7B Instruct	125K / 16.7 GB	8740905	1666
OlmOCR 2 7B 1025 FP8	125K / 10 GB	540426	253
OlmOCR 2 7B 1025	125K / 16.6 GB	244728	157
RolmOCR	125K / 16.6 GB	224280	589
Qwen2.5 VL 7B Instruct FP4	125K / 7.2 GB	49165	3
PosterCopilot	125K / 16.7 GB	29	1
OlmOCR 7B 0825 FP8	125K / 10 GB	38011	10
Cosmos Reason1 7B	125K / 16.6 GB	62913	244
X Reasoner 7B	125K / 16.5 GB	1030	10

Note: green Score (e.g. "73.2") means that the model is better than UnderTides/Embodied-Navigator-7B-GRPO.