What are the hardware requirements for Sage A1.5 OptiQ 4bit?

Sage A1.5 OptiQ 4bit requires approximately 22.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Sage A1.5 OptiQ 4bit and how large is it?

Sage A1.5 OptiQ 4bit is developed by mlx-community, a model with 34.7b 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 Sage A1.5 OptiQ 4bit?

Sage A1.5 OptiQ 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Sage A1.5 OptiQ 4bit by mlx-community — VRAM 22.1GB

Name: Sage A1.5 OptiQ 4bit
Author: mlx-community

Sage A1.5 OptiQ 4bit is an open-source language model by mlx-community. Features: 34.7b LLM, VRAM: 22.1GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.34.

Arxiv:2610.28578 4-bit 4bit 8bit Agentic Apple-silicon Base model:internscience/sage-... Base model:quantized:internsci... Code Conversational Image-text-to-text Mixed-precision Mlx Moe Optiq Quantized Qwen3.6 Qwen3 5 moe Region:us Safetensors Sharded Tensorflow Tool-use Vision Vision-language-model

Model Card on HF 🤗: https://huggingface.co/mlx-community/Sage-A1.5-OptiQ-4bit

Sage A1.5 OptiQ 4bit Parameters and Internals

LLM Name	Sage A1.5 OptiQ 4bit
Repository 🤗	https://huggingface.co/mlx-community/Sage-A1.5-OptiQ-4bit
Base Model(s)	InternScience/Sage-A1.5 InternScience/Sage-A1.5
Model Size	34.7b
Required VRAM	22.1 GB
Updated	2026-10-25
Maintainer	mlx-community
Model Type	qwen3_5_moe
Model Files	5.3 GB: 1-of-5 5.4 GB: 2-of-5 5.2 GB: 3-of-5 5.2 GB: 4-of-5 1.0 GB: 5-of-5 0.9 GB
Quantization Type	4bit
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Sage A1.5 OptiQ 4bit 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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