What are the hardware requirements for YanoljaNEXT EEVE 10.8B?

YanoljaNEXT EEVE 10.8B requires approximately 21.6 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed YanoljaNEXT EEVE 10.8B and how large is it?

YanoljaNEXT EEVE 10.8B is developed by yanolja, a model with 10.7b 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 YanoljaNEXT EEVE 10.8B?

YanoljaNEXT EEVE 10.8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

YanoljaNEXT EEVE 10.8B by yanolja — VRAM 21.6GB, 4K context

Name: YanoljaNEXT EEVE 10.8B
Author: yanolja

YanoljaNEXT EEVE 10.8B is an open-source language model by yanolja. Features: 10.7b LLM, VRAM: 21.6GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.12.

Arxiv:2402.14714 Base model:finetune:upstage/so... Base model:upstage/solar-10.7b... Conversational Endpoints compatible Generated from trainer Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/yanolja/YanoljaNEXT-EEVE-10.8B

YanoljaNEXT EEVE 10.8B Parameters and Internals

LLM Name	YanoljaNEXT EEVE 10.8B
Repository 🤗	https://huggingface.co/yanolja/YanoljaNEXT-EEVE-10.8B
Base Model(s)	upstage/SOLAR-10.7B-v1.0 upstage/SOLAR-10.7B-v1.0
Model Size	10.7b
Required VRAM	21.6 GB
Updated	2026-08-08
Maintainer	yanolja
Model Type	llama
Model Files	4.9 GB: 1-of-5 4.9 GB: 2-of-5 5.0 GB: 3-of-5 4.9 GB: 4-of-5 1.9 GB: 5-of-5
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.37.0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	40960
Torch Data Type	bfloat16

Rank the YanoljaNEXT EEVE 10.8B 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 10.8B

Best Alternatives	Context / RAM	Downloads	Likes
SOLAR 10.7B Instruct V1.0 128K	128K / 21.4 GB	63	3
SOLAR 10.7B V1.0 Instruct 16K	16K / 21.4 GB	63	2
SOLAR 10.7B V1.0 Base 16K	16K / 21.4 GB	69	0
SauerkrautLM SOLAR Instruct	8K / 21.4 GB	62	46
Fimbulvetr V2 Kuro Lotus Bf16	8K / 21.5 GB	6	4
PiVoT SOLAR 10.7B RP	8K / 21.4 GB	54	7
MetaModelv2	8K / 21.4 GB	197	0
Kazemi 1.2 Solar	8K / 21.4 GB	0	0
Bucharest 0.2	5K / 21.4 GB	6	1
Somer2	4K / 21.4 GB	10	0

Note: green Score (e.g. "73.2") means that the model is better than yanolja/YanoljaNEXT-EEVE-10.8B.