What are the hardware requirements for Macaron V1.1?

Macaron V1.1 requires approximately 221.2 GB of VRAM and supports a context window of 1024K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Macaron V1.1 and how large is it?

Macaron V1.1 is developed by mindlab-research, a model with 753.3b 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 Macaron V1.1?

Macaron V1.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Macaron V1.1 by mindlab-research — VRAM 221.2GB, 1024K context

Name: Macaron V1.1
Author: mindlab-research

Macaron V1.1 is an open-source language model by mindlab-research. Features: 753.3b LLM, VRAM: 221.2GB, Context: 1024K, License: mit, MoE, LLM Explorer Score: 0.33.

Coding-agent Conversational Eval-results Generative-ui Glm-5.3 Glm moe dsa Macaron Macaron-v1.1 Mixture-of-lora Model-index Moe Personal-agent Region:us Safetensors Sharded Tensorflow Tool-use Ui4a

Model Card on HF 🤗: https://huggingface.co/mindlab-research/Macaron-V1.1

Macaron V1.1 Parameters and Internals

LLM Name	Macaron V1.1
Repository 🤗	https://huggingface.co/mindlab-research/Macaron-V1.1
Model Size	753.3b
Required VRAM	221.2 GB
Updated	2026-09-27
Maintainer	mindlab-research
Model Type	glm_moe_dsa
Model Files	5.3 GB: 1-of-282 5.3 GB: 2-of-282 5.4 GB: 3-of-282 5.4 GB: 4-of-282 5.4 GB: 5-of-282 5.4 GB: 6-of-282 5.4 GB: 7-of-282 5.4 GB: 8-of-282 5.4 GB: 9-of-282 5.4 GB: 10-of-282 5.4 GB: 11-of-282 5.4 GB: 12-of-282 5.4 GB: 13-of-282 5.4 GB: 14-of-282 5.4 GB: 15-of-282 5.4 GB: 16-of-282 5.4 GB: 17-of-282 5.4 GB: 18-of-282 5.4 GB: 19-of-282 5.4 GB: 20-of-282 5.4 GB: 21-of-282 5.4 GB: 22-of-282 5.4 GB: 23-of-282 5.4 GB: 24-of-282 5.4 GB: 25-of-282 5.4 GB: 26-of-282 5.4 GB: 27-of-282 5.4 GB: 28-of-282 5.4 GB: 29-of-282 5.4 GB: 30-of-282 5.4 GB: 31-of-282 5.4 GB: 32-of-282 5.4 GB: 33-of-282 5.4 GB: 34-of-282 5.4 GB: 35-of-282 5.4 GB: 36-of-282 5.4 GB: 37-of-282 5.4 GB: 38-of-282 5.4 GB: 39-of-282 5.4 GB: 40-of-282 5.4 GB: 41-of-282
Model Architecture	GlmMoeDsaForCausalLM
License	mit
Context Length	1048576
Model Max Length	1048576
Transformers Version	5.15.0
Vocabulary Size	154880

Rank the Macaron V1.1 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 Macaron V1.1

Best Alternatives	Context / RAM	Downloads	Likes
GLM 5.3	1024K / 232.2 GB	8804	1255
GLM 5.2	1024K / 232 GB	2391730	4875
GLM 5.3 NVFP4	1024K / 465.2 GB	1973	3
GLM 5.3 CYBERSECURITY FP8	1024K / 112.6 GB	227	29
GLM 5.3 BF16	1024K / 237.4 GB	482	24
GLM 5.3 MXFP4	1024K / 132.2 GB	649	1
GLM 5.3	1024K / 237.4 GB	379	6
GLM 5.2	1024K / 237.4 GB	1671	26
GLM 5.3	1024K / 232.2 GB	200	1
GLM 5.3 W4A16	1024K / 73.9 GB	268	1

Note: green Score (e.g. "73.2") means that the model is better than mindlab-research/Macaron-V1.1.