What are the hardware requirements for GWQ 9B Preview2?

GWQ 9B Preview2 requires approximately 18.6 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GWQ 9B Preview2 and how large is it?

GWQ 9B Preview2 is developed by prithivMLmods, a model with 9b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does GWQ 9B Preview2 perform on standard benchmarks?

GWQ 9B Preview2 has the following published scores: LMSYS ELO 1411. Compare against reference models on this page or on the LLM Explorer leaderboards.

GWQ 9B Preview2 by prithivMLmods — VRAM 18.6GB, 8K context

Name: GWQ 9B Preview2
Author: prithivMLmods

GWQ 9B Preview2 is an open-source language model by prithivMLmods. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, License: gemma, Quantized, LLM Explorer Score: 0.39, ELO: 1411.

9b Base model:finetune:prithivmlm... Base model:prithivmlmods/gwq-9... Conversational Cot En Endpoints compatible Gemma2 Gwq Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/GWQ-9B-Preview2

GWQ 9B Preview2 Benchmarks

LMSys ELO 1411 vs 1272 (so35) 10.9%

^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)

GWQ 9B Preview2 Parameters and Internals

LLM Name	GWQ 9B Preview2
Repository 🤗	https://huggingface.co/prithivMLmods/GWQ-9B-Preview2
Base Model(s)	GWQ 9B Preview prithivMLmods/GWQ-9B-Preview
Model Size	9b
Required VRAM	18.6 GB
Updated	2026-07-16
Maintainer	prithivMLmods
Model Type	gemma2
Model Files	4.9 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 3.7 GB: 4-of-4
Supported Languages	en
Quantization Type	fp16
Model Architecture	Gemma2ForCausalLM
License	gemma
Context Length	8192
Model Max Length	8192
Transformers Version	4.47.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float16

Rank the GWQ 9B Preview2 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 GWQ 9B Preview2

Best Alternatives	Context / RAM	Downloads	Likes
G2 GSHT 32K	32K / 20.4 GB	8	1
SystemGemma2 9B It	32K / 18.6 GB	5	2
Gemma 2 9B It	8K / 18.6 GB	80757	11
Gemma 2 9B It	8K / 18.6 GB	6	0
Gemma 2 9B It SimPO	8K / 18.6 GB	473	173
Gemma 2 9B It	8K / 18.6 GB	323635	837
Gemma 2 9B It Blend Rebase	8K / 20.4 GB	5	0
Gemma 2 9B JEE Socratic Final	8K / 18.6 GB	1118	0
Gemma 2 9B	8K / 37.1 GB	95888	717
Gemma 2 9B It Advanced V2.1	8K / 20.4 GB	100	30

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/GWQ-9B-Preview2.