What are the hardware requirements for Gemma 2 9B Sft Jp En Zh V2?

Gemma 2 9B Sft Jp En Zh V2 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 Gemma 2 9B Sft Jp En Zh V2 and how large is it?

Gemma 2 9B Sft Jp En Zh V2 is developed by noname0202, 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 Gemma 2 9B Sft Jp En Zh V2?

Gemma 2 9B Sft Jp En Zh V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 2 9B Sft Jp En Zh V2 by noname0202 — VRAM 18.6GB, 8K context

Name: Gemma 2 9B Sft Jp En Zh V2
Author: noname0202

Gemma 2 9B Sft Jp En Zh V2 is an open-source language model by noname0202. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.21.

Arxiv:1910.09700 Autotrain compatible Base model:finetune:google/gem... Base model:google/gemma-2-9b Conversational Dataset:databricks/databricks-... Dataset:davidlanz/chinese-doll... Dataset:izumi-lab/llm-japanese... Dataset:kunishou/databricks-do... En Endpoints compatible Gemma2 Ja Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/noname0202/gemma-2-9b-sft-jp-en-zh-v2

Gemma 2 9B Sft Jp En Zh V2 Parameters and Internals

LLM Name	Gemma 2 9B Sft Jp En Zh V2
Repository 🤗	https://huggingface.co/noname0202/gemma-2-9b-sft-jp-en-zh-v2
Base Model(s)	Gemma 2 9B google/gemma-2-9b
Model Size	9b
Required VRAM	18.6 GB
Updated	2025-01-29
Maintainer	noname0202
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
Supported Languages	ja en zh
Model Architecture	Gemma2ForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.47.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemma 2 9B Sft Jp En Zh V2 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 Gemma 2 9B Sft Jp En Zh V2

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 noname0202/gemma-2-9b-sft-jp-en-zh-v2.