What are the hardware requirements for YanoljaNEXT EEVE 2.8B?

YanoljaNEXT EEVE 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 2.8B and how large is it?

YanoljaNEXT EEVE 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 2.8B?

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

Name: YanoljaNEXT EEVE 2.8B
Author: yanolja

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

Arxiv:2402.14714 Base model:finetune:microsoft/... Base model:microsoft/phi-2 Conversational Custom code Endpoints compatible Generated from trainer Phi Region:us Safetensors Sharded Tensorflow

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

YanoljaNEXT EEVE 2.8B Parameters and Internals

LLM Name	YanoljaNEXT EEVE 2.8B
Repository 🤗	https://huggingface.co/yanolja/YanoljaNEXT-EEVE-2.8B
Base Model(s)	Phi 2 microsoft/phi-2
Model Size	2.8b
Required VRAM	5.7 GB
Updated	2026-07-25
Maintainer	yanolja
Model Type	phi
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 2.8B 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 YanoljaNEXT EEVE 2.8B

Best Alternatives	Context / RAM	Downloads
MFANN3bv0.24	128K / 11.1 GB	6
MFANN3b	128K / 11.1 GB	86
MFANN3bv1.4	128K / 11.1 GB	8
MFANN Phigments Slerp V3.2	128K / 5.6 GB	6
MFANN3bv1.3	128K / 11.1 GB	14
MFANN3bv0.23	128K / 11.1 GB	10
MFANN3bv1.1	128K / 11.1 GB	10
MFANN3bv1.5	128K / 11.1 GB	8
MFANN Liminerity Slerp 4a	128K / 5.6 GB	7
MFANN3b Rebase	128K / 11.1 GB	7

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