What are the hardware requirements for Glm Muse V7a?

Glm Muse V7a requires approximately 18.8 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Glm Muse V7a and how large is it?

Glm Muse V7a is developed by MCult01, a model with 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 Muse V7a?

Glm Muse V7a is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Glm Muse V7a by MCult01 — VRAM 18.8GB, 32K context

Name: Glm Muse V7a
Author: MCult01

Glm Muse V7a is an open-source language model by MCult01. Features: 9b LLM, VRAM: 18.8GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.24.

Base model:finetune:zai-org/gl... Base model:zai-org/glm-4-9b-04... Conversational En Endpoints compatible Glm4 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/MCult01/glm-muse-v7a

Glm Muse V7a Parameters and Internals

LLM Name	Glm Muse V7a
Repository 🤗	https://huggingface.co/MCult01/glm-muse-v7a
Model Name	THUDM/GLM-4-9B-0414
Base Model(s)	GLM 4 9B 0414 THUDM/GLM-4-9B-0414
Model Size	9b
Required VRAM	18.8 GB
Updated	2026-07-28
Maintainer	MCult01
Model Type	glm4
Model Files	5.0 GB: 1-of-4 4.9 GB: 2-of-4 4.9 GB: 3-of-4 4.0 GB: 4-of-4
Supported Languages	en
Model Architecture	Glm4ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Vocabulary Size	151552
Torch Data Type	bfloat16

Rank the Glm Muse V7a 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 Muse V7a

Best Alternatives	Context / RAM	Downloads	Likes
GLM 4 9B 0414	32K / 18.8 GB	33513	109
GLM 4 9B 0414	32K / 18.8 GB	15803	76
GLM Z1 9B 0414	32K / 18.8 GB	4005	90
GLM Z1 9B 0414	32K / 18.8 GB	1315	69
GLM 4 9B 0414	32K / 18.8 GB	123	2
GLM4 9B Neon V2	32K / 18.8 GB	43	16
GLM Z1 9B 0414	32K / 18.8 GB	25	1
GLM 4 9B 0414 Unsloth Bnb 4bit	32K / 7.2 GB	435	2
GLM Z1 9B 0414 4bit	32K / 5.3 GB	182	3
GLM 4 9B 0414 Abliterated	32K / 18.8 GB	3	10

Note: green Score (e.g. "73.2") means that the model is better than MCult01/glm-muse-v7a.