What are the hardware requirements for Gemma2 Eclipse 9B?

Gemma2 Eclipse 9B 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 Gemma2 Eclipse 9B and how large is it?

Gemma2 Eclipse 9B is developed by mpasila, 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 Gemma2 Eclipse 9B?

Gemma2 Eclipse 9B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma2 Eclipse 9B by mpasila — VRAM 18.6GB, 8K context

Name: Gemma2 Eclipse 9B
Author: mpasila

Gemma2 Eclipse 9B is an open-source language model by mpasila. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, Merged, LLM Explorer Score: 0.14.

Merged Model Base model:anthracite-org/magn... Base model:crestf411/gemma2-9b... Base model:nbeerbower/gemma2-g... Base model:unsloth/gemma-2-9b Base model:unsloth/gemma-2-9b-... Conversational Endpoints compatible Gemma2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mpasila/Gemma2-Eclipse-9B

Gemma2 Eclipse 9B Parameters and Internals

LLM Name	Gemma2 Eclipse 9B
Repository 🤗	https://huggingface.co/mpasila/Gemma2-Eclipse-9B
Base Model(s)	Gemma 2 9B crestf411/gemma2-9B-sunfall-v0.5.2 Magnum V4 9B Gemma 2 9B It Gemma2 Gutenberg Doppel 9B unsloth/gemma-2-9b crestf411/gemma2-9B-sunfall-v0.5.2 anthracite-org/magnum-v4-9b unsloth/gemma-2-9b-it nbeerbower/Gemma2-Gutenberg-Doppel-9B
Merged Model	Yes
Model Size	9b
Required VRAM	18.6 GB
Updated	2026-07-28
Maintainer	mpasila
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
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 Gemma2 Eclipse 9B 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 Gemma2 Eclipse 9B

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	8K / 18.6 GB	323635	837
Gemma 2 9B It SimPO	8K / 18.6 GB	473	173
Gemma 2 9B It Blend Rebase	8K / 20.4 GB	5	0
Gemma 2 9B	8K / 37.1 GB	95888	717
...ty Gemma2 9b It Swift Remove20	8K / 18.6 GB	179	1

Note: green Score (e.g. "73.2") means that the model is better than mpasila/Gemma2-Eclipse-9B.