What are the hardware requirements for Moremerge?

Moremerge requires approximately 15.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Moremerge and how large is it?

Moremerge is developed by ehristoforu, a model with 7b 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 Moremerge?

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

Moremerge by ehristoforu — VRAM 15.2GB, 32K context

Name: Moremerge
Author: ehristoforu

Moremerge is an open-source language model by ehristoforu. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, Instruction-Based, Code Generating, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2306.01708 Base model:deepseek-ai/deepsee... Base model:eva-unit-01/eva-qwe... Base model:fblgit/cybertron-v4... Base model:humanllms/human-lik... Base model:prithivmlmods/qwq-l... Base model:qwen/qwen2.5-7b-ins... Base model:qwen/qwen2.5-7b-ins... Base model:qwen/qwen2.5-coder-... Base model:qwen/qwen2.5-math-7... Base model:rombo-org/rombo-llm... Codegen Conversational Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ehristoforu/moremerge

Moremerge Parameters and Internals

LLM Name	Moremerge
Repository 🤗	https://huggingface.co/ehristoforu/moremerge
Base Model(s)	Qwen/Qwen2.5-7B-Instruct EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1 HumanLLMs/Human-Like-Qwen2.5-7B-Instruct Qwen/Qwen2.5-7B-Instruct-1M Qwen/Qwen2.5-Math-7B DeepSeek R1 Distill Qwen 7B Qwen/Qwen2.5-Coder-7B Cybertron V4 Qw7B UNAMGS QwQ LCoT2 7B Instruct huihui-ai/Qwen2.5-7B-Instruct-abliterated Rombo-Org/Rombo-LLM-V2.5-Qwen-7b Qwen/Qwen2.5-7B-Instruct EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1 HumanLLMs/Human-Like-Qwen2.5-7B-Instruct Qwen/Qwen2.5-7B-Instruct-1M Qwen/Qwen2.5-Math-7B deepseek-ai/DeepSeek-R1-Distill-Qwen-7B Qwen/Qwen2.5-Coder-7B fblgit/cybertron-v4-qw7B-UNAMGS prithivMLmods/QwQ-LCoT2-7B-Instruct huihui-ai/Qwen2.5-7B-Instruct-abliterated Rombo-Org/Rombo-LLM-V2.5-Qwen-7b
Merged Model	Yes
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-08-02
Maintainer	ehristoforu
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 0.3 GB: 4-of-4
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151665
Torch Data Type	bfloat16
Errors	replace

Rank the Moremerge 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 Moremerge

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Rebase	986K / 15.2 GB	73	2
Qwen2.5 7B Rebase	986K / 15.2 GB	16	2
StockQwen 2.5 7B	128K / 15.2 GB	69	6
DareQwen 2.5 7B	128K / 15.2 GB	11	1
Tessa T1 7B	117K / 15.2 GB	14	10
UIGEN T1.5 7B	117K / 15.2 GB	12	6
Qwen2.5 Coder 7B Instruct	32K / 15.2 GB	2019400	765
Vibe Coder 7B Max	32K / 15.3 GB	460	1
Finsec Detector	32K / 15.2 GB	390	1
Qwen2.5 Coder Malay 7B	32K / 15.2 GB	195	1

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