What are the hardware requirements for YanoljaNEXT EEVE Instruct 2.8B?

YanoljaNEXT EEVE Instruct 2.8B requires approximately 5.7 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed YanoljaNEXT EEVE Instruct 2.8B and how large is it?

YanoljaNEXT EEVE Instruct 2.8B is developed by yanolja, a model with 2.8b 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 YanoljaNEXT EEVE Instruct 2.8B?

YanoljaNEXT EEVE Instruct 2.8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

YanoljaNEXT EEVE Instruct 2.8B by yanolja — VRAM 5.7GB, 2K context

Name: YanoljaNEXT EEVE Instruct 2.8B
Author: yanolja

YanoljaNEXT EEVE Instruct 2.8B is an open-source language model by yanolja. Features: 2.8b LLM, VRAM: 5.7GB, Context: 2K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.11.

Arxiv:2306.02707 Arxiv:2310.01377 Arxiv:2402.14714 Base model:finetune:yanolja/ya... Base model:yanolja/yanoljanext... Conversational Endpoints compatible Generated from trainer Instruct Phi Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/yanolja/YanoljaNEXT-EEVE-Instruct-2.8B

YanoljaNEXT EEVE Instruct 2.8B Parameters and Internals

LLM Name	YanoljaNEXT EEVE Instruct 2.8B
Repository 🤗	https://huggingface.co/yanolja/YanoljaNEXT-EEVE-Instruct-2.8B
Base Model(s)	yanolja/EEVE-Korean-2.8B-v1.0 yanolja/EEVE-Korean-2.8B-v1.0
Model Size	2.8b
Required VRAM	5.7 GB
Updated	2026-07-30
Maintainer	yanolja
Model Type	phi
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 0.7 GB: 2-of-2
Model Architecture	PhiForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.38.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	58944
Torch Data Type	bfloat16

Rank the YanoljaNEXT EEVE Instruct 2.8B capabilities

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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 YanoljaNEXT EEVE Instruct 2.8B

Best Alternatives	Context / RAM	Downloads	Likes
Phi 2 Instruct Apo	2K / 5.6 GB	8	0
Phi 2 Instruct V0.1	2K / 5.6 GB	8	2
EEVE Korean Instruct 2.8B V1.0	2K / 5.7 GB	2035	28
Att Model	2K / 5.7 GB	8	0
Eeve2.8 Base	2K / 5.7 GB	11	0
Eeve2.8 Ko	2K / 5.7 GB	5	0
... Instruct 2.8B V1.0 20240430 2	2K / 2.9 GB	7	0
Phi 2 Code Instruct	2K / 5.6 GB	7	4
Dolphin 2 6 Phi 2	0K / 5.6 GB	1160	192
Dolphin 2 6 Phi 2	0K / 5.6 GB	801	198

Note: green Score (e.g. "73.2") means that the model is better than yanolja/YanoljaNEXT-EEVE-Instruct-2.8B.