What are the hardware requirements for Merged Model?

Merged Model requires approximately 16.1 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 Merged Model and how large is it?

Merged Model is developed by mrtoncl, a model with 8b 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?

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

Merged Model by mrtoncl — VRAM 16.1GB, 8K context

Name: Merged Model
Author: mrtoncl

Merged Model is an open-source language model by mrtoncl. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, Instruction-Based, Merged, LLM Explorer Score: 0.25.

Merged Model Base model:sao10k/l3-8b-lunari... Base model:ytu-ce-cosmos/turki... Conversational Endpoints compatible Instruct Llama Region:us Roleplay Safetensors Sharded Tensorflow Tr Turkish

Model Card on HF 🤗: https://huggingface.co/mrtoncl/merged_model

Merged Model Parameters and Internals

LLM Name	Merged Model
Repository 🤗	https://huggingface.co/mrtoncl/merged_model
Base Model(s)	ytu-ce-cosmos/Turkish-Llama-8b-Instruct-v0.1 L3 8B Lunaris V1 ytu-ce-cosmos/Turkish-Llama-8b-Instruct-v0.1 Sao10K/L3-8B-Lunaris-v1
Merged Model	Yes
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-10-09
Maintainer	mrtoncl
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	tr
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Merged Model 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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...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
Zero Llama 3.1 8B Beta6	1048K / 16.1 GB	7	1