What are the hardware requirements for Gemini9blv2?

Gemini9blv2 requires approximately 18.6 GB of VRAM and supports a context window of 19K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemini9blv2 and how large is it?

Gemini9blv2 is developed by notzero, a model with 9.2b 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 Gemini9blv2?

Gemini9blv2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemini9blv2 by notzero — VRAM 18.6GB, 19K context

Name: Gemini9blv2
Author: notzero

Gemini9blv2 is an open-source language model by notzero. Features: 9.2b LLM, VRAM: 18.6GB, Context: 19K, LLM Explorer Score: 0.17.

Arxiv:1910.09700 Conversational Endpoints compatible Gemma2 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/notzero/gemini9blv2

Gemini9blv2 Parameters and Internals

LLM Name	Gemini9blv2
Repository 🤗	https://huggingface.co/notzero/gemini9blv2
Model Size	9.2b
Required VRAM	18.6 GB
Updated	2026-07-30
Maintainer	notzero
Model Type	gemma2
Model Files	4.9 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 3.7 GB: 4-of-4
Model Architecture	Gemma2ForCausalLM
Context Length	20000
Model Max Length	20000
Transformers Version	4.51.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float16

Rank the Gemini9blv2 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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... Introspection 20250821 Merged	8K / 18.6 GB	5	0
Telugu Nsfw Finetuned Merged	8K / 37.1 GB	14	0
Intelligence Book	8K / 18.6 GB	12	1
Gemma 2 Llm2024 DPO 02	8K / 18.5 GB	11	0
Hello World06	8K / 18.6 GB	5	0
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Gemma 2 Mitra It	8K / 37.1 GB	135	11
Gemma2 Mitra Base	8K / 37.1 GB	73	4

Note: green Score (e.g. "73.2") means that the model is better than notzero/gemini9blv2.