What are the hardware requirements for Gemma 2 9B It Ko RAG Bnb 4bit?

Gemma 2 9B It Ko RAG Bnb 4bit requires approximately 6.1 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 It Ko RAG Bnb 4bit and how large is it?

Gemma 2 9B It Ko RAG Bnb 4bit is developed by Austin9, 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 It Ko RAG Bnb 4bit?

Gemma 2 9B It Ko RAG Bnb 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 2 9B It Ko RAG Bnb 4bit by Austin9 — VRAM 6.1GB, 8K context

Name: Gemma 2 9B It Ko RAG Bnb 4bit
Author: Austin9

Gemma 2 9B It Ko RAG Bnb 4bit is an open-source language model by Austin9. Features: 9b LLM, VRAM: 6.1GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.17.

4-bit 4bit Autotrain compatible Base model:quantized:unsloth/g... Base model:unsloth/gemma-2-9b-... Bitsandbytes Conversational Endpoints compatible Gemma2 Ko Quantized Region:us Safetensors Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/Austin9/gemma-2-9b-it-Ko-RAG-bnb-4bit

Gemma 2 9B It Ko RAG Bnb 4bit Parameters and Internals

LLM Name	Gemma 2 9B It Ko RAG Bnb 4bit
Repository 🤗	https://huggingface.co/Austin9/gemma-2-9b-it-Ko-RAG-bnb-4bit
Base Model(s)	Gemma 2 9B It Bnb 4bit unsloth/gemma-2-9b-it-bnb-4bit
Model Size	9b
Required VRAM	6.1 GB
Updated	2025-02-07
Maintainer	Austin9
Model Type	gemma2
Model Files	5.0 GB: 1-of-2 1.1 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
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 It Ko RAG Bnb 4bit 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 Gemma 2 9B It Ko RAG Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
GWQ 9B Preview	8K / 18.6 GB	9	3
Gemma 2 9B 8bit	8K / 9.8 GB	178	9
Gemma 2 9B 4bit	8K / 5.2 GB	160	2
Gemma 2 9B It Bnb 4bit	8K / 6.1 GB	13007	32
SASTRI 1 9B	8K / 6.1 GB	7	0
Gemma 2 9B Bnb 4bit	8K / 6.1 GB	10605	31
Gemma 2 9B It Finance	8K / 18.6 GB	5	0
Athena Gemma 2 2B It	8K / 23.8 GB	0	2
Gemma 2 9B It 4bit	8K / 5.2 GB	16960	1
...ma 2 9B It Ko ChatRAG Bnb 4bit	8K / 6.1 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than Austin9/gemma-2-9b-it-Ko-RAG-bnb-4bit.