What are the hardware requirements for Gemma 2 9B Sft Ultrachat SafeRLHF?

Gemma 2 9B Sft Ultrachat SafeRLHF 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 Ultrachat SafeRLHF and how large is it?

Gemma 2 9B Sft Ultrachat SafeRLHF is developed by AmberYifan, 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 Ultrachat SafeRLHF?

Gemma 2 9B Sft Ultrachat SafeRLHF 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 Ultrachat SafeRLHF by AmberYifan — VRAM 18.6GB, 8K context

Name: Gemma 2 9B Sft Ultrachat SafeRLHF
Author: AmberYifan

Gemma 2 9B Sft Ultrachat SafeRLHF is an open-source language model by AmberYifan. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, LLM Explorer Score: 0.16.

Autotrain compatible Base model:amberyifan/gemma-2-... Base model:finetune:amberyifan... Conversational Endpoints compatible Gemma2 Generated from trainer Region:us Safetensors Sft Sharded Tensorboard Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/AmberYifan/Gemma-2-9B-sft-ultrachat-safeRLHF

Gemma 2 9B Sft Ultrachat SafeRLHF Parameters and Internals

LLM Name	Gemma 2 9B Sft Ultrachat SafeRLHF
Repository 🤗	https://huggingface.co/AmberYifan/Gemma-2-9B-sft-ultrachat-safeRLHF
Model Name	Gemma-2-9B-sft-ultrachat-safeRLHF
Base Model(s)	Gemma 2 9B Sft Ultrachat AmberYifan/Gemma-2-9B-sft-ultrachat
Model Size	9b
Required VRAM	18.6 GB
Updated	2025-09-15
Maintainer	AmberYifan
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 0.0 GB
Model Architecture	Gemma2ForCausalLM
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 Gemma 2 9B Sft Ultrachat SafeRLHF 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 Ultrachat SafeRLHF

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 AmberYifan/Gemma-2-9B-sft-ultrachat-safeRLHF.