What are the hardware requirements for G2 9B Aletheia V1?

G2 9B Aletheia V1 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 G2 9B Aletheia V1 and how large is it?

G2 9B Aletheia V1 is developed by allura-org, 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 G2 9B Aletheia V1?

G2 9B Aletheia V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

G2 9B Aletheia V1 by allura-org — VRAM 18.6GB, 8K context

Name: G2 9B Aletheia V1
Author: allura-org

G2 9B Aletheia V1 is an open-source language model by allura-org. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, License: gemma, Merged, LLM Explorer Score: 0.15.

Merged Model Base model:allura-org/g2-9b-su... Base model:crestf411/gemma2-9b... Base model:ucla-agi/gemma-2-9b... Conversational Endpoints compatible Gemma2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/allura-org/G2-9B-Aletheia-v1

G2 9B Aletheia V1 Parameters and Internals

LLM Name	G2 9B Aletheia V1
Repository 🤗	https://huggingface.co/allura-org/G2-9B-Aletheia-v1
Base Model(s)	Gemma 2 9B It SPPO Iter3 crestf411/gemma2-9B-sunfall-v0.5.2 G2 9B Sugarquill V0 UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3 crestf411/gemma2-9B-sunfall-v0.5.2 allura-org/G2-9B-Sugarquill-v0
Merged Model	Yes
Model Size	9b
Required VRAM	18.6 GB
Updated	2026-08-07
Maintainer	allura-org
Model Type	gemma2
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 3.6 GB: 4-of-4
Model Architecture	Gemma2ForCausalLM
License	gemma
Context Length	8192
Model Max Length	8192
Transformers Version	4.45.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the G2 9B Aletheia V1 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 G2 9B Aletheia V1

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
GWQ 9B Preview2	8K / 18.6 GB	11	10
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

Note: green Score (e.g. "73.2") means that the model is better than allura-org/G2-9B-Aletheia-v1.