What are the hardware requirements for Gigantes V1 Gemma2 9B It?

Gigantes V1 Gemma2 9B It 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 Gigantes V1 Gemma2 9B It and how large is it?

Gigantes V1 Gemma2 9B It is developed by grimjim, 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 Gigantes V1 Gemma2 9B It?

Gigantes V1 Gemma2 9B It is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gigantes V1 Gemma2 9B It by grimjim — VRAM 18.6GB, 8K context

Name: Gigantes V1 Gemma2 9B It
Author: grimjim

Gigantes V1 Gemma2 9B It is an open-source language model by grimjim. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, License: gemma, Instruction-Based, Merged, LLM Explorer Score: 0.25.

Merged Model Arxiv:2212.04089 Base model:anthracite-org/magn... Base model:axcxept/ezo-humanit... Base model:princeton-nlp/gemma... Base model:silma-ai/silma-9b-i... Base model:vagosolutions/sauer... Conversational Endpoints compatible Gemma2 Instruct Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/grimjim/Gigantes-v1-gemma2-9b-it

Gigantes V1 Gemma2 9B It Parameters and Internals

LLM Name	Gigantes V1 Gemma2 9B It
Repository 🤗	https://huggingface.co/grimjim/Gigantes-v1-gemma2-9b-it
Base Model(s)	SauerkrautLM Gemma 2 9B It silma-ai/SILMA-9B-Instruct-v1.0 EZO Humanities 9B Gemma 2 It Gemma 2 9B It SimPO Magnum V3 9B Customgemma2 VAGOsolutions/SauerkrautLM-gemma-2-9b-it silma-ai/SILMA-9B-Instruct-v1.0 AXCXEPT/EZO-Humanities-9B-gemma-2-it princeton-nlp/gemma-2-9b-it-SimPO anthracite-org/magnum-v3-9b-customgemma2
Merged Model	Yes
Model Size	9b
Required VRAM	18.6 GB
Updated	2026-06-25
Maintainer	grimjim
Model Type	gemma2
Instruction-Based	Yes
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	4.46.3
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gigantes V1 Gemma2 9B It 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 Gigantes V1 Gemma2 9B It

Best Alternatives	Context / RAM	Downloads	Likes
...2 9B Cpt Sahabatai V1 Instruct	8K / 18.6 GB	1369	47
Gigantes V2 Gemma2 9B It	8K / 18.6 GB	5	1
Gemma Evo 10B	8K / 20.4 GB	26	5
Gigantes V3 Gemma2 9B It	8K / 18.6 GB	6	0
SILMA 9B Instruct V1.0	8K / 18.6 GB	2980	86
Magnum V4 9B	8K / 18.6 GB	88	20
Odin 9B	8K / 18.6 GB	26	5
...B IT Simpo Infinity Preference	8K / 18.6 GB	108	19
GaMS 9B Instruct	8K / 18.6 GB	1583	2
Turkish Gemma 9B V0.1	8K / 18.6 GB	480	40

Note: green Score (e.g. "73.2") means that the model is better than grimjim/Gigantes-v1-gemma2-9b-it.