What are the hardware requirements for GLM 4.7 Flash Claude Opus 4.5 High Reasoning Distill 8bit?

GLM 4.7 Flash Claude Opus 4.5 High Reasoning Distill 8bit requires approximately 31.9 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 8bit?

GLM 4.7 Flash Claude Opus 4.5 High Reasoning Distill 8bit 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 8bit by mlx-community — VRAM 31.9GB, 198K context

Name: GLM 4.7 Flash Claude Opus 4.5 High Reasoning Distill 8bit
Author: mlx-community

GLM 4.7 Flash Claude Opus 4.5 High Reasoning Distill 8bit is an open-source language model by mlx-community. Features: 29.9b LLM, VRAM: 31.9GB, Context: 198K, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.23.

8-bit 8bit Base model:quantized:teichai/g... Base model:teichai/glm-4.7-fla... Conversational Dataset:teichai/claude-4.5-opu... Glm4 moe lite Mlx Moe Quantized Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/mlx-community/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill-8bit

GLM 4.7 Flash Claude Opus 4.5 High Reasoning Distill 8bit Parameters and Internals

LLM Name	GLM 4.7 Flash Claude Opus 4.5 High Reasoning Distill 8bit
Repository 🤗	https://huggingface.co/mlx-community/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill-8bit
Base Model(s)	TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill
Model Size	29.9b
Required VRAM	31.9 GB
Updated	2026-08-10
Maintainer	mlx-community
Model Type	glm4_moe_lite
Model Files	5.2 GB: 1-of-7 5.4 GB: 2-of-7 5.2 GB: 3-of-7 5.2 GB: 4-of-7 5.2 GB: 5-of-7 5.4 GB: 6-of-7 0.3 GB: 7-of-7
Quantization Type	8bit
Model Architecture	Glm4MoeLiteForCausalLM
License	apache-2.0
Context Length	202752
Model Max Length	202752
Transformers Version	5.0.0.dev0
Tokenizer Class	TokenizersBackend
Padding Token	[MASK]
Vocabulary Size	154880
Torch Data Type	bfloat16

Rank the GLM 4.7 Flash Claude Opus 4.5 High Reasoning Distill 8bit capabilities

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Instruction Following and Task Automation
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Best Alternatives to GLM 4.7 Flash Claude Opus 4.5 High Reasoning Distill 8bit

Best Alternatives	Context / RAM	Downloads	Likes
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
GLM 4.7 Flash 4bit Mxfp4	198K / 15.9 GB	237	4
....5 High Reasoning Distill 6bit	198K / 24.2 GB	197	2
GLM 4.7 Flash 8bit Gs32	198K / 33.6 GB	183	5
GLM 4.7 Flash Abliteratex	198K / 62.3 GB	510	3
Glm 4.7 Flash Opus Reasoning	198K / 59.9 GB	10	0

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill-8bit.