What are the hardware requirements for Svd Safety Gemma2 9B It Swift Remove20?

Svd Safety Gemma2 9B It Swift Remove20 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 Svd Safety Gemma2 9B It Swift Remove20 and how large is it?

Svd Safety Gemma2 9B It Swift Remove20 is developed by Jeesup, 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 Svd Safety Gemma2 9B It Swift Remove20?

Svd Safety Gemma2 9B It Swift Remove20 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Svd Safety Gemma2 9B It Swift Remove20 by Jeesup — VRAM 18.6GB, 8K context

Name: Svd Safety Gemma2 9B It Swift Remove20
Author: Jeesup

Svd Safety Gemma2 9B It Swift Remove20 is an open-source language model by Jeesup. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, License: gemma, LLM Explorer Score: 0.31.

Base model:finetune:google/gem... Base model:google/gemma-2-9b-i... Compression Conversational Endpoints compatible Gemma2 Interpretability Region:us Safetensors Safety Sharded Svd Tensorflow

Model Card on HF 🤗: https://huggingface.co/Jeesup/svd-safety-gemma2_9b_it_swift_remove20

Svd Safety Gemma2 9B It Swift Remove20 Parameters and Internals

LLM Name	Svd Safety Gemma2 9b It Swift Remove20
Repository 🤗	https://huggingface.co/Jeesup/svd-safety-gemma2_9b_it_swift_remove20
Base Model(s)	Gemma 2 9B It google/gemma-2-9b-it
Model Size	9b
Required VRAM	18.6 GB
Updated	2026-09-24
Maintainer	Jeesup
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
Model Architecture	Gemma2ForCausalLM
License	gemma
Context Length	8192
Model Max Length	8192
Transformers Version	4.51.3
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Svd Safety Gemma2 9B It Swift Remove20 capabilities

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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 Svd Safety Gemma2 9B It Swift Remove20

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	8K / 37.1 GB	95888	717
Gemma 2 9B JEE Socratic Final	8K / 18.6 GB	1118	0

Note: green Score (e.g. "73.2") means that the model is better than Jeesup/svd-safety-gemma2_9b_it_swift_remove20.