What are the hardware requirements for GLM 4.7 Flash FP8 Dynamic?

GLM 4.7 Flash FP8 Dynamic requires approximately 27.8 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 4.7 Flash FP8 Dynamic and how large is it?

GLM 4.7 Flash FP8 Dynamic is developed by axteam, a model with 31.2b 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 GLM 4.7 Flash FP8 Dynamic?

GLM 4.7 Flash FP8 Dynamic is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GLM 4.7 Flash FP8 Dynamic by axteam — VRAM 27.8GB, 198K context

Name: GLM 4.7 Flash FP8 Dynamic
Author: axteam

GLM 4.7 Flash FP8 Dynamic is an open-source language model by axteam. Features: 31.2b LLM, VRAM: 27.8GB, Context: 198K, License: mit, MoE, LLM Explorer Score: 0.31.

Base model:quantized:zai-org/g... Base model:zai-org/glm-4.7-fla... Compressed-tensors Conversational Endpoints compatible Fp8 Glm4 moe lite Moe Quantized Region:us Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/axteam/GLM-4.7-Flash-FP8-dynamic

GLM 4.7 Flash FP8 Dynamic Parameters and Internals

LLM Name	GLM 4.7 Flash FP8 Dynamic
Repository 🤗	https://huggingface.co/axteam/GLM-4.7-Flash-FP8-dynamic
Base Model(s)	zai-org/GLM-4.7-Flash zai-org/GLM-4.7-Flash
Model Size	31.2b
Required VRAM	27.8 GB
Updated	2026-11-03
Maintainer	axteam
Model Type	glm4_moe_lite
Model Files	1.4 GB: 1-of-48 0.6 GB: 2-of-48 0.6 GB: 3-of-48 0.6 GB: 4-of-48 0.6 GB: 5-of-48 0.6 GB: 6-of-48 0.6 GB: 7-of-48 0.6 GB: 8-of-48 0.6 GB: 9-of-48 0.6 GB: 10-of-48 0.6 GB: 11-of-48 0.6 GB: 12-of-48 0.6 GB: 13-of-48 0.6 GB: 14-of-48 0.6 GB: 15-of-48 0.6 GB: 16-of-48 0.6 GB: 17-of-48 0.6 GB: 18-of-48 0.6 GB: 19-of-48 0.6 GB: 20-of-48 0.6 GB: 21-of-48 0.6 GB: 22-of-48 0.6 GB: 23-of-48 0.6 GB: 24-of-48 0.6 GB: 25-of-48 0.6 GB: 26-of-48 0.6 GB: 27-of-48 0.6 GB: 28-of-48 0.6 GB: 29-of-48 0.6 GB: 30-of-48 0.6 GB: 31-of-48 0.6 GB: 32-of-48 0.6 GB: 33-of-48 0.6 GB: 34-of-48 0.6 GB: 35-of-48 0.6 GB: 36-of-48 0.6 GB: 37-of-48 0.6 GB: 38-of-48 0.6 GB: 39-of-48 0.6 GB: 40-of-48 0.6 GB: 41-of-48 0.6 GB: 42-of-48 0.6 GB: 43-of-48 0.6 GB: 44-of-48 0.6 GB: 45-of-48
Model Architecture	Glm4MoeLiteForCausalLM
License	mit
Context Length	202752
Model Max Length	202752
Transformers Version	5.0.0rc0
Vocabulary Size	154880

Rank the GLM 4.7 Flash FP8 Dynamic 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

Best Alternatives to GLM 4.7 Flash FP8 Dynamic

Best Alternatives	Context / RAM	Downloads	Likes
GLM 4.7 Flash	198K / 57.3 GB	2187874	1791
GLM 4.7 Flash NVFP4A16	198K / 18.9 GB	1485	1
GLM 4.7 Flash	198K / 58.6 GB	295368	15
GLM 4.7 Flash Fable 5 Distill	198K / 58.6 GB	126	1
Mochi	198K / 58.6 GB	75	2
...ihui GLM 4.7 Flash Abliterated	198K / 58.6 GB	1196	84
GLM 4.7 Flash Derestricted	198K / 58.6 GB	156	34
GLM 4.7 Flash AWQ	198K / 19.8 GB	459913	12

Note: green Score (e.g. "73.2") means that the model is better than axteam/GLM-4.7-Flash-FP8-dynamic.