What are the hardware requirements for Glm 4.7 Flash Abliterated?

Glm 4.7 Flash Abliterated requires approximately 57.3 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 and how large is it?

Glm 4.7 Flash Abliterated is developed by jsantillana, 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 Abliterated?

Glm 4.7 Flash Abliterated 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 by jsantillana — VRAM 57.3GB, 198K context

Name: Glm 4.7 Flash Abliterated
Author: jsantillana

Glm 4.7 Flash Abliterated is an open-source language model by jsantillana. Features: 31.2b LLM, VRAM: 57.3GB, Context: 198K, License: other, MoE, LLM Explorer Score: 0.35.

Abliterated Agentic Base model:finetune:zai-org/gl... Base model:zai-org/glm-4.7-fla... Code Conversational En Es Glm-4.7 Glm4 Glm4 moe lite Moe Reasoning Region:us Safetensors Sharded Tensorflow Uncensored Zh

Model Card on HF 🤗: https://huggingface.co/jsantillana/glm-4.7-flash-abliterated

Glm 4.7 Flash Abliterated Parameters and Internals

LLM Name	Glm 4.7 Flash Abliterated
Repository 🤗	https://huggingface.co/jsantillana/glm-4.7-flash-abliterated
Base Model(s)	zai-org/GLM-4.7-Flash zai-org/GLM-4.7-Flash
Model Size	31.2b
Required VRAM	57.3 GB
Updated	2026-11-09
Maintainer	jsantillana
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
Supported Languages	en zh es
Model Architecture	Glm4MoeLiteForCausalLM
License	other
Context Length	202752
Model Max Length	202752
Transformers Version	5.0.0rc0
Vocabulary Size	154880

Rank the Glm 4.7 Flash Abliterated 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 Abliterated

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 FP8 Dynamic	198K / 27.8 GB	149	1
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 jsantillana/glm-4.7-flash-abliterated.