What are the hardware requirements for GLM 4.7 Flash Abliterated Mxfp8?

GLM 4.7 Flash Abliterated Mxfp8 requires approximately 30.7 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 Abliterated Mxfp8 and how large is it?

GLM 4.7 Flash Abliterated Mxfp8 is developed by mlx-community, a model with 29.9b 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 Abliterated Mxfp8?

GLM 4.7 Flash Abliterated Mxfp8 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 Abliterated Mxfp8 by mlx-community — VRAM 30.7GB, 198K context

Name: GLM 4.7 Flash Abliterated Mxfp8
Author: mlx-community

GLM 4.7 Flash Abliterated Mxfp8 is an open-source language model by mlx-community. Features: 29.9b LLM, VRAM: 30.7GB, Context: 198K, License: mit, MoE, LLM Explorer Score: 0.23.

8-bit Abliterated Base model:huihui-ai/huihui-gl... Base model:quantized:huihui-ai... Conversational En Glm4 moe lite Mlx Moe Region:us Safetensors Sharded Tensorflow Uncensored Zh

Model Card on HF 🤗: https://huggingface.co/mlx-community/GLM-4.7-Flash-abliterated-mxfp8

GLM 4.7 Flash Abliterated Mxfp8 Parameters and Internals

LLM Name	GLM 4.7 Flash Abliterated Mxfp8
Repository 🤗	https://huggingface.co/mlx-community/GLM-4.7-Flash-abliterated-mxfp8
Base Model(s)	huihui-ai/Huihui-GLM-4.7-Flash-abliterated huihui-ai/Huihui-GLM-4.7-Flash-abliterated
Model Size	29.9b
Required VRAM	30.7 GB
Updated	2026-07-08
Maintainer	mlx-community
Model Type	glm4_moe_lite
Model Files	5.2 GB: 1-of-6 5.2 GB: 2-of-6 5.2 GB: 3-of-6 5.2 GB: 4-of-6 5.2 GB: 5-of-6 4.7 GB: 6-of-6
Supported Languages	en zh
Model Architecture	Glm4MoeLiteForCausalLM
License	mit
Context Length	202752
Model Max Length	202752
Transformers Version	5.0.0rc0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Vocabulary Size	154880

Rank the GLM 4.7 Flash Abliterated Mxfp8 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 4.7 Flash Abliterated Mxfp8

Best Alternatives	Context / RAM	Downloads	Likes
Glm 4.7 Flash Opus Reasoning	198K / 59.9 GB	10	0
GLM 4.7 Flash Heretic	198K / 59.9 GB	649	19
GLM 4.7 Flash Absolute Heresy	198K / 59.9 GB	84	9
...igh Reasoning Distill Bfloat16	198K / 60.1 GB	62	1
GLM 4.7 Flash Impotent Heresy	198K / 59.9 GB	23	14
GLM 4.7 Flash 8bit	198K / 31.9 GB	3470	24
GLM 4.7 Flash 8bit Mxfp8	198K / 30.7 GB	693	1
GLM 4.7 Flash 4bit	198K / 17 GB	7029	66
GLM 4.7 Flash 6bit	198K / 24.2 GB	4053	7
....5 High Reasoning Distill 4bit	198K / 17 GB	390	4

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/GLM-4.7-Flash-abliterated-mxfp8.