What are the hardware requirements for Glm 4.7 Flash Opus Reasoning?

Glm 4.7 Flash Opus Reasoning requires approximately 59.9 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.

Who developed Glm 4.7 Flash Opus Reasoning and how large is it?

Glm 4.7 Flash Opus Reasoning is developed by austindixson, a model with 29.9b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Glm 4.7 Flash Opus Reasoning perform on standard benchmarks?

Glm 4.7 Flash Opus Reasoning has the following published scores: LMSYS ELO 1430. Compare against reference models on this page or on the LLM Explorer leaderboards.

Glm 4.7 Flash Opus Reasoning by austindixson — VRAM 59.9GB, 198K context

Name: Glm 4.7 Flash Opus Reasoning
Author: austindixson

Glm 4.7 Flash Opus Reasoning is an open-source language model by austindixson. Features: 29.9b LLM, VRAM: 59.9GB, Context: 198K, License: apache-2.0, MoE, LLM Explorer Score: 0.37, ELO: 1430.

30b Agent Base model:finetune:unsloth/gl... Base model:unsloth/glm-4.7-fla... Coding Conversational En Finetuned Flash Glm Glm-4.7 Glm4 moe lite Math Mixture-of-experts Moe Qlora Reasoning Region:us Safetensors Sharded Tensorflow Tool-use

Model Card on HF 🤗: https://huggingface.co/austindixson/glm-4.7-flash-Opus-Reasoning

Glm 4.7 Flash Opus Reasoning Benchmarks

LMSys ELO 1430 vs 1272 (so35) 12.4%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Glm 4.7 Flash Opus Reasoning Parameters and Internals

LLM Name	Glm 4.7 Flash Opus Reasoning
Repository 🤗	https://huggingface.co/austindixson/glm-4.7-flash-Opus-Reasoning
Base Model(s)	unsloth/GLM-4.7-Flash unsloth/GLM-4.7-Flash
Model Size	29.9b
Required VRAM	59.9 GB
Updated	2026-06-07
Maintainer	austindixson
Model Type	glm4_moe_lite
Model Files	49.7 GB: 1-of-2 10.2 GB: 2-of-2
Supported Languages	en
Model Architecture	Glm4MoeLiteForCausalLM
License	apache-2.0
Context Length	202752
Model Max Length	202752
Transformers Version	5.5.0
Tokenizer Class	TokenizersBackend
Padding Token	[MASK]
Vocabulary Size	154880

Rank the Glm 4.7 Flash Opus Reasoning 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 4.7 Flash Opus Reasoning

Best Alternatives	Context / RAM	Downloads	Likes
GLM 4.7 Flash Heretic	198K / 59.9 GB	649	19
...LM 4.7 Flash Abliterated Mxfp8	198K / 30.7 GB	172	2
GLM 4.7 Flash Absolute Heresy	198K / 59.9 GB	84	9
...igh Reasoning Distill Bfloat16	198K / 60.1 GB	62	1
GLM 4.7 Flash Impotent Heresy	198K / 59.9 GB	23	14
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

Note: green Score (e.g. "73.2") means that the model is better than austindixson/glm-4.7-flash-Opus-Reasoning.