What are the hardware requirements for GLM 5.2 NVFP4 TR3 Hybrid?

GLM 5.2 NVFP4 TR3 Hybrid requires approximately 0.8 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 GLM 5.2 NVFP4 TR3 Hybrid and how large is it?

GLM 5.2 NVFP4 TR3 Hybrid is developed by brandonmusic. 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 GLM 5.2 NVFP4 TR3 Hybrid?

GLM 5.2 NVFP4 TR3 Hybrid is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GLM 5.2 NVFP4 TR3 Hybrid by brandonmusic — VRAM 0.8GB, 1024K context

Name: GLM 5.2 NVFP4 TR3 Hybrid
Author: brandonmusic

GLM 5.2 NVFP4 TR3 Hybrid is an open-source language model by brandonmusic. Features: LLM, VRAM: 0.8GB, Context: 1024K, License: mit, MoE, LLM Explorer Score: 0.28.

Base model:lukealonso/glm-5.2-... Base model:quantized:lukealons... Conversational En Exl3 Glm Glm moe dsa Modelopt Moe Nvfp4 Quantized Region:us Safetensors Trellis Vllm

Model Card on HF 🤗: https://huggingface.co/brandonmusic/GLM-5.2-NVFP4-TR3-Hybrid

GLM 5.2 NVFP4 TR3 Hybrid Parameters and Internals

LLM Name	GLM 5.2 NVFP4 TR3 Hybrid
Repository 🤗	https://huggingface.co/brandonmusic/GLM-5.2-NVFP4-TR3-Hybrid
Base Model(s)	lukealonso/GLM-5.2-NVFP4 lukealonso/GLM-5.2-NVFP4
Required VRAM	0.8 GB
Updated	2026-07-13
Maintainer	brandonmusic
Model Type	glm_moe_dsa
Model Files	1.9 GB 1.9 GB 0.8 GB 0.8 GB 0.8 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB 4.5 GB
Supported Languages	en
Model Architecture	GlmMoeDsaForCausalLM
License	mit
Context Length	1048576
Model Max Length	1048576
Transformers Version	5.12.0
Vocabulary Size	154880

Rank the GLM 5.2 NVFP4 TR3 Hybrid 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 GLM 5.2 NVFP4 TR3 Hybrid

Best Alternatives	Context / RAM	Downloads	Likes
...Colibri Int4 G64 With Int8 Mtp	1024K / 2.8 GB	10526	43
GLM 5 FP8	198K / 243 GB	54	5

Note: green Score (e.g. "73.2") means that the model is better than brandonmusic/GLM-5.2-NVFP4-TR3-Hybrid.