What are the hardware requirements for GLM 4.7 Flash Fable 5 Distill?

GLM 4.7 Flash Fable 5 Distill requires approximately 58.6 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 Fable 5 Distill and how large is it?

GLM 4.7 Flash Fable 5 Distill is developed by CreitinGameplays, 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 Fable 5 Distill?

GLM 4.7 Flash Fable 5 Distill 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 Fable 5 Distill by CreitinGameplays — VRAM 58.6GB, 198K context

Name: GLM 4.7 Flash Fable 5 Distill
Author: CreitinGameplays

GLM 4.7 Flash Fable 5 Distill is an open-source language model by CreitinGameplays. Features: 31.2b LLM, VRAM: 58.6GB, Context: 198K, License: apache-2.0, MoE, LLM Explorer Score: 0.34.

Base model:finetune:unsloth/gl... Base model:unsloth/glm-4.7-fla... Conversational Dataset:armand0e/fable-5-chat Dataset:teichai/fable-5-cursor... En Endpoints compatible Glm4 moe lite Moe Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/CreitinGameplays/GLM-4.7-Flash-Fable-5-Distill

GLM 4.7 Flash Fable 5 Distill Parameters and Internals

LLM Name	GLM 4.7 Flash Fable 5 Distill
Repository 🤗	https://huggingface.co/CreitinGameplays/GLM-4.7-Flash-Fable-5-Distill
Base Model(s)	unsloth/GLM-4.7-Flash unsloth/GLM-4.7-Flash
Model Size	31.2b
Required VRAM	58.6 GB
Updated	2026-08-31
Maintainer	CreitinGameplays
Model Type	glm4_moe_lite
Model Files	1.4 GB: 1-of-48 1.3 GB: 2-of-48 1.3 GB: 3-of-48 1.3 GB: 4-of-48 1.3 GB: 5-of-48 1.3 GB: 6-of-48 1.3 GB: 7-of-48 1.3 GB: 8-of-48 1.3 GB: 9-of-48 1.3 GB: 10-of-48 1.3 GB: 11-of-48 1.3 GB: 12-of-48 1.3 GB: 13-of-48 1.3 GB: 14-of-48 1.3 GB: 15-of-48 1.3 GB: 16-of-48 1.3 GB: 17-of-48 1.3 GB: 18-of-48 1.3 GB: 19-of-48 1.3 GB: 20-of-48 1.3 GB: 21-of-48 1.3 GB: 22-of-48 1.3 GB: 23-of-48 1.3 GB: 24-of-48 1.3 GB: 25-of-48 1.3 GB: 26-of-48 1.3 GB: 27-of-48 1.3 GB: 28-of-48 1.3 GB: 29-of-48 1.3 GB: 30-of-48 1.3 GB: 31-of-48 1.3 GB: 32-of-48 1.3 GB: 33-of-48 1.3 GB: 34-of-48 1.3 GB: 35-of-48 1.3 GB: 36-of-48 1.3 GB: 37-of-48 1.3 GB: 38-of-48 1.3 GB: 39-of-48 1.3 GB: 40-of-48 1.3 GB: 41-of-48 1.3 GB: 42-of-48 1.3 GB: 43-of-48 1.3 GB: 44-of-48 1.3 GB: 45-of-48
Supported Languages	en
Model Architecture	Glm4MoeLiteForCausalLM
License	apache-2.0
Context Length	202752
Model Max Length	202752
Vocabulary Size	154880
Torch Data Type	bfloat16

Rank the GLM 4.7 Flash Fable 5 Distill 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 Fable 5 Distill

Best Alternatives	Context / RAM	Downloads	Likes
GLM 4.7 Flash	198K / 57.3 GB	2187874	1791
GLM 4.7 Flash	198K / 58.6 GB	295368	15
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

Note: green Score (e.g. "73.2") means that the model is better than CreitinGameplays/GLM-4.7-Flash-Fable-5-Distill.