What are the hardware requirements for Gemma 2B It Q?

Gemma 2B It Q requires approximately 1.6 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 Gemma 2B It Q and how large is it?

Gemma 2B It Q is developed by operablepattern, a model with 2b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Gemma 2B It Q perform on standard benchmarks?

Gemma 2B It Q has the following published scores: MMLU 37.66. Compare against reference models on this page or on the LLM Explorer leaderboards.

Gemma 2B It Q by operablepattern — VRAM 1.6GB, 8K context

Name: Gemma 2B It Q
Author: operablepattern

Gemma 2B It Q is an open-source language model by operablepattern. Features: 2b LLM, VRAM: 1.6GB, Context: 8K, License: other, Quantized, LLM Explorer Score: 0.16, Arc: 43.9, HellaSwag: 62.7, MMLU: 37.7, GSM8K: 5.4.

Endpoints compatible Gemma Gguf Q4 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/operablepattern/gemma-2b-it-Q

Gemma 2B It Q Benchmarks

ARC: 43.86 vs 96.7 (so35)^-54.6%

HellaSwag: 62.7 vs 95.3 (gpt4)^-34.2%

MMLU: 37.66 vs 88.3 (so35)^-57.3%

GSM8K: 5.38 vs 96.4 (so35)^-94.4%

LLME Score: 0.15528

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Gemma 2B It Q (operablepattern/gemma-2b-it-Q)

🌟 Advertise your project 🚀

Gemma 2B It Q Parameters and Internals

LLM Name	Gemma 2B It Q
Repository 🤗	https://huggingface.co/operablepattern/gemma-2b-it-Q
Base Model(s)	Ft Google Gemma 2B It Qlora ALBADDAWI/ft-google-gemma-2b-it-qlora
Model Size	2b
Required VRAM	1.6 GB
Updated	2026-05-23
Maintainer	operablepattern
Model Type	gemma
Model Files	1.6 GB 1.8 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q4\|q4_k\|q5_k
Model Architecture	GemmaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.38.0.dev0
Vocabulary Size	256000
Torch Data Type	bfloat16

Best Alternatives to Gemma 2B It Q

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 2B It	8K / 5.1 GB	81913	877
Gemma 2B	8K / 5.1 GB	187814	1168
Gemma 2B It	8K / 1.5 GB	17	0
Gemma 2B It	8K / 5.1 GB	26	1
Gemma 2B T	8K / 5.1 GB	15	0
Gemma 2B It Code	8K / 5.1 GB	31	0
Gemma 2B It Q4 K M GGUF	8K / 1.6 GB	5749	5
Gemma Help Tiny Sft	8K / 5.1 GB	37	1
GemSUra Edu	8K / 5 GB	44	0
...mma 2b Sauerkraut Gguf Chunked	8K / 0.1 GB	39	0

Note: green Score (e.g. "73.2") means that the model is better than operablepattern/gemma-2b-it-Q.

Rank the Gemma 2B It Q Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

What open-source LLMs or SLMs are you in search of? 53999 in total.

Email us: info@extractum.io. Our Privacy Policy | Terms and Conditions | Suggest an improvement.

Our Social Media →

Original data from HuggingFace, OpenCompass and various public git repos.

Check out Ag3ntum — our secure, self-hosted AI agent for server management.

Release v20260328a

Support LLM Explorer

Gemma 2B It Q by operablepattern

» All LLMs » operablepattern » Gemma 2B It Q URL Share it on

Gemma 2B It Q Benchmarks

Gemma 2B It Q Parameters and Internals

Best Alternatives to Gemma 2B It Q

Rank the Gemma 2B It Q Capabilities

What open-source LLMs or SLMs are you in search of? 53999 in total.