What are the hardware requirements for G2 9B Blackout R1?

G2 9B Blackout R1 requires approximately 40.8 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 Blackout R1 and how large is it?

G2 9B Blackout R1 is developed by inflatebot, 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 Blackout R1?

G2 9B Blackout R1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

G2 9B Blackout R1 by inflatebot — VRAM 40.8GB, 8K context

Name: G2 9B Blackout R1
Author: inflatebot

G2 9B Blackout R1 is an open-source language model by inflatebot. Features: 9b LLM, VRAM: 40.8GB, Context: 8K, Merged, LLM Explorer Score: 0.14.

Merged Model Arxiv:2212.04089 Base model:anthracite-org/magn... Base model:crestf411/gemma2-9b... Base model:intervitensinc/gemm... Endpoints compatible Gemma2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/inflatebot/G2-9B-Blackout-R1

G2 9B Blackout R1 Parameters and Internals

Model Type

language model

Use Cases

Areas:

language understanding, language generation

Additional Notes

This model incorporates aspects of chat-oriented interactions and asserts improvements over the predecessor Magnum with the integration of some elements from Sunfall.

Training Details

Data Sources:

crestf411/gemma2-9B-sunfall-v0.5.2, anthracite-org/magnum-v3-9b-chatml, IntervitensInc/gemma-2-9b-chatml

Methodology:

A task-arithmetic merge using [mergekit](https://github.com/cg123/mergekit)

Model Architecture:

Utilizes ChatML formatting

LLM Name	G2 9B Blackout R1
Repository 🤗	https://huggingface.co/inflatebot/G2-9B-Blackout-R1
Base Model(s)	crestf411/gemma2-9B-sunfall-v0.5.2 Gemma 2 9B Chatml Magnum V3 9B Chatml crestf411/gemma2-9B-sunfall-v0.5.2 IntervitensInc/gemma-2-9b-chatml anthracite-org/magnum-v3-9b-chatml
Merged Model	Yes
Model Size	9b
Required VRAM	40.8 GB
Updated	2026-08-06
Maintainer	inflatebot
Model Type	gemma2
Model Files	3.7 GB: 1-of-9 4.9 GB: 2-of-9 5.0 GB: 3-of-9 4.9 GB: 4-of-9 5.0 GB: 5-of-9 5.0 GB: 6-of-9 5.0 GB: 7-of-9 4.9 GB: 8-of-9 2.4 GB: 9-of-9
Model Architecture	Gemma2ForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.44.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float32

Rank the G2 9B Blackout R1 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 Blackout R1

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
...ty Gemma2 9b It Swift Remove20	8K / 18.6 GB	179	1
Gemma 2 9B	8K / 37.1 GB	95888	717

Note: green Score (e.g. "73.2") means that the model is better than inflatebot/G2-9B-Blackout-R1.