What are the hardware requirements for Jenna V2?

Jenna V2 requires approximately 5.1 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 Jenna V2 and how large is it?

Jenna V2 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 V2?

Jenna V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Jenna V2 by V3N0M — VRAM 5.1GB, 8K context

Name: Jenna V2
Author: V3N0M

Jenna V2 is an open-source language model by V3N0M. Features: 2b LLM, VRAM: 5.1GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

4bit Base model:finetune:unsloth/ge... Base model:unsloth/gemma-1.1-2... Conversational En Endpoints compatible Gemma Pytorch Quantized Region:us Sft Sharded Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/V3N0M/Jenna-v2

Jenna V2 Parameters and Internals

Model Type

text-generation-inference, transformers, unsloth, gemma, trl, sft

Additional Notes

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

LLM Name	Jenna V2
Repository 🤗	https://huggingface.co/V3N0M/Jenna-v2
Base Model(s)	unsloth/gemma-1.1-2b-it-bnb-4bit unsloth/gemma-1.1-2b-it-bnb-4bit
Model Size	2b
Required VRAM	5.1 GB
Updated	2026-05-25
Maintainer	V3N0M
Model Type	gemma
Model Files	5.0 GB: 1-of-2 0.1 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
Model Architecture	GemmaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float16

Rank the Jenna V2 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 V2

Best Alternatives	Context / RAM	Downloads	Likes
... 2B It Hermes Function Calling	8K / 5.1 GB	18	0
Vi Gemma 2B RAG	8K / 5.1 GB	36	13
My AwesomeFinance Model	8K / 2.1 GB	7	0
... 2.8 Gemma 2B HQQ 1bit Smashed	8K / 1.3 GB	5	0
... 2.8 Gemma 2B HQQ 2bit Smashed	8K / 1.6 GB	5	0
... 2.8 Gemma 2B HQQ 4bit Smashed	8K / 2.1 GB	5	0
Emo AI 3B	8K / 5.1 GB	6	1
Jenna V3 QGemma 2B	8K / 5.1 GB	6	0
Gemma 2B Sentiment	8K / 5.1 GB	13	0
... 2.8 Gemma 2B Bnb 4bit Smashed	8K / 2.2 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than V3N0M/Jenna-v2.