What are the hardware requirements for GRM 3.2 Cliff?

GRM 3.2 Cliff requires approximately 18.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GRM 3.2 Cliff and how large is it?

GRM 3.2 Cliff is developed by OrionLLM, a model with 9b 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 GRM 3.2 Cliff?

GRM 3.2 Cliff is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GRM 3.2 Cliff by OrionLLM — VRAM 18.8GB

Name: GRM 3.2 Cliff
Author: OrionLLM

GRM 3.2 Cliff is an open-source language model by OrionLLM. Features: 9b LLM, VRAM: 18.8GB, License: apache-2.0, LLM Explorer Score: 0.31.

Base model:deepreinforce-ai/or... Base model:finetune:deepreinfo... Conversational Eval-results Image-text-to-text Qwen3 5 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/OrionLLM/GRM-3.2-Cliff

GRM 3.2 Cliff Parameters and Internals

LLM Name	GRM 3.2 Cliff
Repository 🤗	https://huggingface.co/OrionLLM/GRM-3.2-Cliff
Base Model(s)	deepreinforce-ai/Ornith-1.0-9B deepreinforce-ai/Ornith-1.0-9B
Model Size	9b
Required VRAM	18.8 GB
Updated	2026-08-09
Maintainer	OrionLLM
Model Type	qwen3_5
Model Files	4.9 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 3.9 GB: 4-of-4
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.8.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the GRM 3.2 Cliff 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 GRM 3.2 Cliff

Best Alternatives	Context / RAM	Downloads	Likes
Ornith 1.0 9B	0K / 18.8 GB	2239643	514
Qwen3.5 9B	0K / 19.3 GB	12207758	1799
Qwythos 9B Claude Mythos 5 1M	0K / 18.8 GB	37427	906
Qwythos 9B V2	0K / 19.3 GB	19208	156
Negentropy Claude Opus 4.7 9B	0K / 18.8 GB	63	26
Qwen3.5 9B Base	0K / 19.3 GB	377344	98
Tmax 9B	0K / 17.9 GB	29926	15
OmniCoder 9B	0K / 18.8 GB	1195	673
JOSIE 2 9B OSS	0K / 19.3 GB	452	9
Ornith 1.0 9B	0K / 18.8 GB	2810	10

Note: green Score (e.g. "73.2") means that the model is better than OrionLLM/GRM-3.2-Cliff.