What are the hardware requirements for GLM 5 FP8?

GLM 5 FP8 requires approximately 243 GB of VRAM and supports a context window of 198K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GLM 5 FP8 and how large is it?

GLM 5 FP8 is developed by unsloth. 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 FP8?

GLM 5 FP8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GLM 5 FP8 by unsloth — VRAM 243GB, 198K context

Name: GLM 5 FP8
Author: unsloth

GLM 5 FP8 is an open-source language model by unsloth. Features: LLM, VRAM: 243GB, Context: 198K, License: mit, MoE, LLM Explorer Score: 0.22.

Base model:quantized:zai-org/g... Base model:zai-org/glm-5 Conversational En Endpoints compatible Fp8 Glm moe dsa Moe Region:us Safetensors Sharded Tensorflow Unsloth Zh

Model Card on HF 🤗: https://huggingface.co/unsloth/GLM-5-FP8

GLM 5 FP8 Parameters and Internals

LLM Name	GLM 5 FP8
Repository 🤗	https://huggingface.co/unsloth/GLM-5-FP8
Base Model(s)	GLM 5 zai-org/GLM-5
Required VRAM	243 GB
Updated	2026-06-08
Maintainer	unsloth
Model Type	glm_moe_dsa
Model Files	5.4 GB: 1-of-142 5.4 GB: 2-of-142 5.4 GB: 3-of-142 5.4 GB: 4-of-142 5.4 GB: 5-of-142 5.4 GB: 6-of-142 5.4 GB: 7-of-142 5.4 GB: 8-of-142 5.4 GB: 9-of-142 5.4 GB: 10-of-142 5.4 GB: 11-of-142 5.4 GB: 12-of-142 5.4 GB: 13-of-142 5.4 GB: 14-of-142 5.4 GB: 15-of-142 5.4 GB: 16-of-142 5.4 GB: 17-of-142 5.4 GB: 18-of-142 5.4 GB: 19-of-142 5.4 GB: 20-of-142 5.4 GB: 21-of-142 5.4 GB: 22-of-142 5.4 GB: 23-of-142 5.4 GB: 24-of-142 5.4 GB: 25-of-142 5.4 GB: 26-of-142 5.4 GB: 27-of-142 5.4 GB: 28-of-142 5.4 GB: 29-of-142 5.4 GB: 30-of-142 5.4 GB: 31-of-142 5.4 GB: 32-of-142 5.4 GB: 33-of-142 5.4 GB: 34-of-142 5.4 GB: 35-of-142 5.4 GB: 36-of-142 5.4 GB: 37-of-142 5.4 GB: 38-of-142 5.4 GB: 39-of-142 5.4 GB: 40-of-142 5.4 GB: 41-of-142 5.4 GB: 42-of-142 5.4 GB: 43-of-142 5.4 GB: 44-of-142 5.4 GB: 45-of-142
Supported Languages	en zh
Model Architecture	GlmMoeDsaForCausalLM
License	mit
Context Length	202752
Model Max Length	202752
Transformers Version	5.0.2.dev0
Vocabulary Size	154880

Rank the GLM 5 FP8 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 FP8

Best Alternatives	Context / RAM	Downloads	Likes
...Colibri Int4 G64 With Int8 Mtp	1024K / 2.8 GB	10526	43
GLM 5.2 NVFP4 TR3 Hybrid	1024K / 0.8 GB	338	3

Note: green Score (e.g. "73.2") means that the model is better than unsloth/GLM-5-FP8.