What are the hardware requirements for EEVE 10.8 BOOK V0.1?

EEVE 10.8 BOOK V0.1 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 EEVE 10.8 BOOK V0.1 and how large is it?

EEVE 10.8 BOOK V0.1 is developed by ryanu, a model with 10.8b 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 EEVE 10.8 BOOK V0.1?

EEVE 10.8 BOOK V0.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

EEVE 10.8 BOOK V0.1 by ryanu — VRAM 21.6GB, 4K context

Name: EEVE 10.8 BOOK V0.1
Author: ryanu

EEVE 10.8 BOOK V0.1 is an open-source language model by ryanu. Features: 10.8b LLM, VRAM: 21.6GB, Context: 4K, Instruction-Based, LLM Explorer Score: 0.12.

Conversational Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ryanu/EEVE-10.8-BOOK-v0.1

EEVE 10.8 BOOK V0.1 Parameters and Internals

Training Details

Data Sources:

Book (사회과학, 기술과학, 철학, 법학, 예술 등)

Data Volume:

5000개

Context Length:

1024

LLM Name	EEVE 10.8 BOOK V0.1
Repository 🤗	https://huggingface.co/ryanu/EEVE-10.8-BOOK-v0.1
Model Size	10.8b
Required VRAM	21.6 GB
Updated	2026-08-07
Maintainer	ryanu
Model Type	llama
Instruction-Based	Yes
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
Context Length	4096
Model Max Length	4096
Transformers Version	4.41.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	40960
Torch Data Type	float16

Rank the EEVE 10.8 BOOK V0.1 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

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...Korean Instruct 10.8B V1.0 32K	32K / 21.6 GB	40	10
...EVE Korean Instruct 10.8B V1.0	4K / 21.6 GB	9491	160
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...struct 10.8B V1.0 Empathy V0.1	4K / 21.6 GB	7	0
EEVE Korean Instruct 10.8B Var	4K / 21.6 GB	5	4
AlgograpV4	4K / 43.2 GB	8	0
EEVE Instruct Math 10.8B	4K / 21.6 GB	9	3

Note: green Score (e.g. "73.2") means that the model is better than ryanu/EEVE-10.8-BOOK-v0.1.