What are the hardware requirements for GLM 4.7 Flash Claude Opus 4.5 High Reasoning Distill?

GLM 4.7 Flash Claude Opus 4.5 High Reasoning Distill 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.

Where can I download or evaluate GLM 4.7 Flash Claude Opus 4.5 High Reasoning Distill?

GLM 4.7 Flash Claude Opus 4.5 High Reasoning 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 Claude Opus 4.5 High Reasoning Distill by TeichAI — VRAM 57.3GB, 198K context

Name: GLM 4.7 Flash Claude Opus 4.5 High Reasoning Distill
Author: TeichAI

GLM 4.7 Flash Claude Opus 4.5 High Reasoning Distill is an open-source language model by TeichAI. Features: LLM, VRAM: 57.3GB, Context: 198K, License: apache-2.0, MoE, LLM Explorer Score: 0.24.

Base model:finetune:unsloth/gl... Base model:unsloth/glm-4.7-fla... Conversational Dataset:teichai/claude-4.5-opu... Endpoints compatible Glm4 moe lite Moe Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill

GLM 4.7 Flash Claude Opus 4.5 High Reasoning Distill Parameters and Internals

LLM Name	GLM 4.7 Flash Claude Opus 4.5 High Reasoning Distill
Repository 🤗	https://huggingface.co/TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill
Base Model(s)	unsloth/GLM-4.7-Flash unsloth/GLM-4.7-Flash
Required VRAM	57.3 GB
Updated	2026-05-19
Maintainer	TeichAI
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
Model Architecture	Glm4MoeLiteForCausalLM
License	apache-2.0
Context Length	202752
Model Max Length	202752
Transformers Version	5.0.0.dev0
Vocabulary Size	154880
Torch Data Type	bfloat16

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Quantized Models of the GLM 4.7 Flash Claude Opus 4.5 High Reasoning Distill

Model	Likes	Downloads	VRAM
....5 High Reasoning Distill 4bit	4	390	17 GB
....5 High Reasoning Distill 6bit	2	197	24 GB
....5 High Reasoning Distill 8bit	1	178	31 GB