What are the hardware requirements for EEVE Korean Instruct 10.8B V1.0 AWQ?

EEVE Korean Instruct 10.8B V1.0 AWQ requires approximately 6.1 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 Korean Instruct 10.8B V1.0 AWQ and how large is it?

EEVE Korean Instruct 10.8B V1.0 AWQ is developed by Copycats, 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 Korean Instruct 10.8B V1.0 AWQ?

EEVE Korean Instruct 10.8B V1.0 AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

EEVE Korean Instruct 10.8B V1.0 AWQ by Copycats — VRAM 6.1GB, 4K context

Name: EEVE Korean Instruct 10.8B V1.0 AWQ
Author: Copycats

EEVE Korean Instruct 10.8B V1.0 AWQ is an open-source language model by Copycats. Features: 10.8b LLM, VRAM: 6.1GB, Context: 4K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.11.

4-bit Awq Base model:quantized:yanolja/y... Base model:yanolja/yanoljanext... Conversational Instruct Ko Llama Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Copycats/EEVE-Korean-Instruct-10.8B-v1.0-AWQ

EEVE Korean Instruct 10.8B V1.0 AWQ Parameters and Internals

Model Type

text generation

Additional Notes

AWQ is a low-bit weight quantization method supporting 4-bit quantization, offering faster Transformers-based inference with equivalent or better quality compared to GPTQ.

Supported Languages

ko (full)

LLM Name	EEVE Korean Instruct 10.8B V1.0 AWQ
Repository 🤗	https://huggingface.co/Copycats/EEVE-Korean-Instruct-10.8B-v1.0-AWQ
Base Model(s)	yanolja/EEVE-Korean-Instruct-10.8B-v1.0 yanolja/EEVE-Korean-Instruct-10.8B-v1.0
Model Size	10.8b
Required VRAM	6.1 GB
Updated	2026-10-09
Maintainer	Copycats
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.1 GB: 2-of-2
Supported Languages	ko
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	40960
Torch Data Type	bfloat16

Rank the EEVE Korean Instruct 10.8B V1.0 AWQ 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 EEVE Korean Instruct 10.8B V1.0 AWQ

Best Alternatives	Context / RAM	Downloads	Likes
...n Instruct 10.8B Geoheim7 8bit	4K / 21.6 GB	0	0
...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
...anoljaNEXT EEVE Instruct 10.8B	4K / 21.6 GB	14441	166
...Judgment Transducer 10.8B V2.0	4K / 21.6 GB	5	0
...orean Instruct 10.8B V1.0 Gguf	4K / 6.1 GB	874	23
Hkcode Meta QA5	4K / 21.6 GB	10	0
Eeve Leaderboard Inst V1.5	4K / 21.6 GB	2157	0
...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

Note: green Score (e.g. "73.2") means that the model is better than Copycats/EEVE-Korean-Instruct-10.8B-v1.0-AWQ.