What are the hardware requirements for Gemma 2 9B It AWQ 4bit?

Gemma 2 9B It AWQ 4bit requires approximately 8 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 AWQ 4bit and how large is it?

Gemma 2 9B It AWQ 4bit is developed by TitanML, 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 AWQ 4bit?

Gemma 2 9B It AWQ 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 AWQ 4bit by TitanML — VRAM 8GB, 8K context

Name: Gemma 2 9B It AWQ 4bit
Author: TitanML

Gemma 2 9B It AWQ 4bit is an open-source language model by TitanML. Features: 9b LLM, VRAM: 8GB, Context: 8K, Quantized.

4-bit 4bit Autotrain compatible Awq Conversational Endpoints compatible Gemma2 Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/TitanML/gemma-2-9b-it-AWQ-4bit

Gemma 2 9B It AWQ 4bit Parameters and Internals

LLM Name	Gemma 2 9B It AWQ 4bit
Repository 🤗	https://huggingface.co/TitanML/gemma-2-9b-it-AWQ-4bit
Model Size	9b
Required VRAM	8 GB
Updated	2024-07-04
Maintainer	TitanML
Model Type	gemma2
Model Files	6.8 GB: 1-of-2 1.2 GB: 2-of-2
AWQ Quantization	Yes
Quantization Type	awq\|4bit
Model Architecture	Gemma2ForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.42.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float16

Rank the Gemma 2 9B It AWQ 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 AWQ 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 2 9B It AWQ INT4	8K / 6.2 GB	177232	9
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

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