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

Gemma 2 2B It ThinkLink requires approximately 5.2 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 2 2B It ThinkLink and how large is it?

Gemma 2 2B It ThinkLink is developed by MinnieMin, 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 Gemma 2 2B It ThinkLink?

Gemma 2 2B It ThinkLink is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 2 2B It ThinkLink by MinnieMin — VRAM 5.2GB, 8K context

Name: Gemma 2 2B It ThinkLink
Author: MinnieMin

Gemma 2 2B It ThinkLink is an open-source language model by MinnieMin. Features: 2b LLM, VRAM: 5.2GB, Context: 8K, License: gemma, LLM Explorer Score: 0.14.

Base model:finetune:google/gem... Base model:google/gemma-2-2b-i... Code-generation Coding-education Conversational Dataset:raybernard/leetcode En Endpoints compatible Gemma2 Region:us Safetensors Sharded Tensorflow

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

Gemma 2 2B It ThinkLink Parameters and Internals

Model Type

Causal Language Model

Use Cases

Primary Use Cases:

Educational purposes, especially for coding test preparation

Limitations:

Direct code generation without understanding the steps may lead to incorrect or misleading results., Not suitable for tasks that require a detailed and immediate answer to general-purpose questions or advanced mathematical computations.

Considerations:

The model encourages self-reflection and thought processes.

Supported Languages

primary (English)

Training Details

Methodology:

Low-Rank Adaptation (LoRA)

Training Time:

Approximately 17 hours

Hardware Used:

1 L4 GPU

LLM Name	Gemma 2 2B It ThinkLink
Repository 🤗	https://huggingface.co/MinnieMin/gemma-2-2b-it-ThinkLink
Base Model(s)	Gemma 2 2B It google/gemma-2-2b-it
Model Size	2b
Required VRAM	5.2 GB
Updated	2026-08-01
Maintainer	MinnieMin
Model Type	gemma2
Model Files	2.0 GB: 1-of-3 2.0 GB: 2-of-3 1.2 GB: 3-of-3
Supported Languages	en
Model Architecture	Gemma2ForCausalLM
License	gemma
Context Length	8192
Model Max Length	8192
Transformers Version	4.45.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float16

Rank the Gemma 2 2B It ThinkLink 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 MinnieMin/gemma-2-2b-it-ThinkLink.