What are the hardware requirements for Merged Model Test?

Merged Model Test 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 Merged Model Test and how large is it?

Merged Model Test is developed by Natet, 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 Merged Model Test?

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

Merged Model Test by Natet — VRAM 5.2GB, 8K context

Name: Merged Model Test
Author: Natet

Merged Model Test is an open-source language model by Natet. Features: 2b LLM, VRAM: 5.2GB, Context: 8K, License: apache-2.0, Merged, LLM Explorer Score: 0.17.

Merged Model Base model:finetune:unsloth/ge... Base model:unsloth/gemma-2-2b Conversational En Endpoints compatible Gemma2 Region:us Safetensors Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/Natet/merged_model_test

Merged Model Test Parameters and Internals

LLM Name	Merged Model Test
Repository 🤗	https://huggingface.co/Natet/merged_model_test
Base Model(s)	Gemma 2 2B unsloth/gemma-2-2b
Merged Model	Yes
Model Size	2b
Required VRAM	5.2 GB
Updated	2026-07-24
Maintainer	Natet
Model Type	gemma2
Model Files	5.0 GB: 1-of-2 0.2 GB: 2-of-2
Supported Languages	en
Model Architecture	Gemma2ForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.51.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Merged Model Test 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 Merged Model Test

Best Alternatives	Context / RAM	Downloads	Likes
SJT 2B	128K / 5.2 GB	16	0
SILMA Kashif 2B Instruct V1.0	12K / 5.2 GB	992	24
...mma 2 2B Jpn It Finetuning Sft	8K / 5.2 GB	14	0
Gemma 2 2B It	8K / 5.2 GB	10	0
Gemma 2 2B It	8K / 5.2 GB	593671	1437
Gemma 2 2B It	8K / 5.2 GB	18991	19
Gemma 2B It Gen Poem	8K / 5.2 GB	2	1
Gemma 2 2B Legal Financial Sft	8K / 5.2 GB	297	0
Gemma 2 2B	8K / 10.5 GB	218629	685
Slm Gemma 2B Qa	8K / 5.2 GB	24	0

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