What are the hardware requirements for Gemma 2 KoMed Lr2e 5?

Gemma 2 KoMed Lr2e 5 requires approximately 18.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 2 KoMed Lr2e 5 and how large is it?

Gemma 2 KoMed Lr2e 5 is developed by ChuGyouk, 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 KoMed Lr2e 5?

Gemma 2 KoMed Lr2e 5 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 2 KoMed Lr2e 5 by ChuGyouk — VRAM 18.6GB

Name: Gemma 2 KoMed Lr2e 5
Author: ChuGyouk

Gemma 2 KoMed Lr2e 5 is an open-source language model by ChuGyouk. Features: 9b LLM, VRAM: 18.6GB, License: apache-2.0, LLM Explorer Score: 0.14.

Autotrain compatible Base model:finetune:rtzr/ko-ge... Base model:rtzr/ko-gemma-2-9b-... Conversational En Endpoints compatible Gemma2 Lora Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/ChuGyouk/gemma-2-KoMed-lr2e-5

Gemma 2 KoMed Lr2e 5 Parameters and Internals

LLM Name	Gemma 2 KoMed Lr2e 5
Repository 🤗	https://huggingface.co/ChuGyouk/gemma-2-KoMed-lr2e-5
Base Model(s)	Ko Gemma 2 9B It rtzr/ko-gemma-2-9b-it
Model Size	9b
Required VRAM	18.6 GB
Updated	2024-09-04
Maintainer	ChuGyouk
Model Files	1.7 GB 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	en
Model Architecture	AutoModelForCausalLM
License	apache-2.0
Is Biased	none
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	k_proj\|gate_proj\|down_proj\|up_proj\|q_proj\|o_proj\|v_proj
LoRA Alpha	32
LoRA Dropout	0
R Param	128

Rank the Gemma 2 KoMed Lr2e 5 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 KoMed Lr2e 5

Best Alternatives	Context / RAM	Downloads
ZYR3.1MoE	0K / 17.9 GB	259
MedGPT Gemma2 9B BA V.1	0K / 18.6 GB	7
Gemma 2 9B Nopcsa Finetune	0K / 18.6 GB	15

Note: green Score (e.g. "73.2") means that the model is better than ChuGyouk/gemma-2-KoMed-lr2e-5.