What are the hardware requirements for Agents A1 8bit?

Agents A1 8bit requires approximately 37.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Agents A1 8bit and how large is it?

Agents A1 8bit is developed by mlx-community, a model with 10.2b 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 Agents A1 8bit?

Agents A1 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Agents A1 8bit by mlx-community — VRAM 37.8GB

Name: Agents A1 8bit
Author: mlx-community

Agents A1 8bit is an open-source language model by mlx-community. Features: 10.2b LLM, VRAM: 37.8GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.29.

8-bit 8bit Agent Base model:internscience/agent... Base model:quantized:internsci... Conversational Image-text-to-text Mlx Moe Quantized Qwen3 5 moe Region:us Safetensors Sharded Tensorflow Vision Vision-language

Model Card on HF 🤗: https://huggingface.co/mlx-community/Agents-A1-8bit

Agents A1 8bit Parameters and Internals

LLM Name	Agents A1 8bit
Repository 🤗	https://huggingface.co/mlx-community/Agents-A1-8bit
Base Model(s)	Agents A1 InternScience/Agents-A1
Model Size	10.2b
Required VRAM	37.8 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	qwen3_5_moe
Model Files	5.3 GB: 1-of-8 5.4 GB: 2-of-8 5.4 GB: 3-of-8 5.4 GB: 4-of-8 5.4 GB: 5-of-8 5.4 GB: 6-of-8 5.0 GB: 7-of-8 0.5 GB: 8-of-8
Quantization Type	8bit
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Agents A1 8bit capabilities

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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

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