What are the hardware requirements for Gemma 7B Bnb 4bit Q4 K M?

Gemma 7B Bnb 4bit Q4 K M requires approximately 5.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 7B Bnb 4bit Q4 K M and how large is it?

Gemma 7B Bnb 4bit Q4 K M is developed by AlekseyElygin, a model with 7b 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 7B Bnb 4bit Q4 K M?

Gemma 7B Bnb 4bit Q4 K M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 7B Bnb 4bit Q4 K M by AlekseyElygin — VRAM 5.3GB

Name: Gemma 7B Bnb 4bit Q4 K M
Author: AlekseyElygin

Gemma 7B Bnb 4bit Q4 K M is an open-source language model by AlekseyElygin. Features: 7b LLM, VRAM: 5.3GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

4bit Base model:unsloth/gemma-7b-bn... En Endpoints compatible Gemma Gguf License:apache-2.0 Q4 Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/AlekseyElygin/gemma-7b-bnb-4bit-q4_k_m

Gemma 7B Bnb 4bit Q4 K M Parameters and Internals

LLM Name	Gemma 7B Bnb 4bit Q4 K M
Repository 🤗	https://huggingface.co/AlekseyElygin/gemma-7b-bnb-4bit-q4_k_m
Base Model(s)	Gemma 7B Bnb 4bit unsloth/gemma-7b-bnb-4bit
Model Size	7b
Required VRAM	5.3 GB
Updated	2024-07-22
Maintainer	AlekseyElygin
Model Type	gemma
Model Files	5.3 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q4\|4bit\|q4_k
Model Architecture	AutoModel
License	apache-2.0

Rank the Gemma 7B Bnb 4bit Q4 K M 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

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Note: green Score (e.g. "73.2") means that the model is better than AlekseyElygin/gemma-7b-bnb-4bit-q4_k_m.