What are the hardware requirements for Ramen 12B?

Ramen 12B requires approximately 24.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ramen 12B and how large is it?

Ramen 12B is developed by hardlyworking, a model with 12b 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 Ramen 12B?

Ramen 12B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ramen 12B by hardlyworking — VRAM 24.5GB

Name: Ramen 12B
Author: hardlyworking

Ramen 12B is an open-source language model by hardlyworking. Features: 12b LLM, VRAM: 24.5GB, Merged, LLM Explorer Score: 0.18.

Merged Model Base model:hardlyworking/beef-... Base model:hardlyworking/noodl... Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/hardlyworking/Ramen-12B

Ramen 12B Parameters and Internals

LLM Name	Ramen 12B
Repository 🤗	https://huggingface.co/hardlyworking/Ramen-12B
Base Model(s)	Noodles Merge 12B Beef 12B hardlyworking/Noodles-Merge-12B hardlyworking/Beef-12B
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-08-06
Maintainer	hardlyworking
Model Files	4.9 GB: 1-of-5 4.9 GB: 2-of-5 4.9 GB: 3-of-5 4.9 GB: 4-of-5 4.9 GB: 5-of-5
Model Architecture	AutoModelForCausalLM
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131072

Rank the Ramen 12B 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 Ramen 12B

Best Alternatives	Context / RAM	Downloads	Likes
Noodles Merge 12B	0K / 24.5 GB	6	0
Broth 12B	0K / 24.5 GB	11	0
Ultra Instruct 12B	0K / 24.5 GB	24	4
Orthrus 12B V0.8	0K / 24.5 GB	4	4
Polyglot Ko 12B Qlora	0K / 25.9 GB	7	0
WorldBuilder 12B	0K / 24.5 GB	6	0
CleverBoi Nemo 12B V2	0K / 0.2 GB	340	4

Note: green Score (e.g. "73.2") means that the model is better than hardlyworking/Ramen-12B.