What are the hardware requirements for Jenna Gemma V01 Gguf Q4?

Jenna Gemma V01 Gguf Q4 requires approximately 1.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Jenna Gemma V01 Gguf Q4 and how large is it?

Jenna Gemma V01 Gguf Q4 is developed by V3N0M, a model with 2b 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 Jenna Gemma V01 Gguf Q4?

Jenna Gemma V01 Gguf Q4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Jenna Gemma V01 Gguf Q4 by V3N0M — VRAM 1.6GB

Name: Jenna Gemma V01 Gguf Q4
Author: V3N0M

Jenna Gemma V01 Gguf Q4 is an open-source language model by V3N0M. Features: 2b LLM, VRAM: 1.6GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

4bit Base model:quantized:unsloth/g... Base model:unsloth/gemma-2b-bn... En Endpoints compatible Gemma Gguf Q4 Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/V3N0M/Jenna-Gemma-v01-gguf-q4

Jenna Gemma V01 Gguf Q4 Parameters and Internals

Model Type

text-generation-inference

Supported Languages

en (native)

Training Details

Methodology:

This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.

LLM Name	Jenna Gemma V01 Gguf Q4
Repository 🤗	https://huggingface.co/V3N0M/Jenna-Gemma-v01-gguf-q4
Base Model(s)	Gemma 2B Bnb 4bit unsloth/gemma-2b-bnb-4bit
Model Size	2b
Required VRAM	1.6 GB
Updated	2026-07-25
Maintainer	V3N0M
Model Type	gemma
Model Files	1.6 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q4\|4bit
Model Architecture	AutoModel
License	apache-2.0

Rank the Jenna Gemma V01 Gguf Q4 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 Jenna Gemma V01 Gguf Q4

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 2 2B It GGUF	0K / 0.8 GB	54423	14
Jenna Gemma V01 Gguf 8bit	0K / 2.7 GB	41	1
Mergekit Slerp Lvhhlmq GGUF	0K / 1.2 GB	23	0
Jenna Gemma V01 Gguf 16bit	0K / 5 GB	23	0
Gemma 2B It Bnb 4bit Gguf F16	0K / 5 GB	8	0
...mma 2B It Bnb 4bit Gguf Q5 K M	0K / 0.5 GB	7	0
Gemma 2B It Bnb 4bit Gguf Q8 0	0K / 0.7 GB	6	0
...mma 2B It Bnb 4bit Gguf Q4 K M	0K / 0.5 GB	5	0
Gemma 2B Malayalam T2 Gguf	0K / 1.8 GB	36	0
Gemma Lora 2b Medical Gguf	0K / 2.7 GB	43	1

Note: green Score (e.g. "73.2") means that the model is better than V3N0M/Jenna-Gemma-v01-gguf-q4.