What are the hardware requirements for EEVE Korean Instruct 10.8B Geoheim7 8bit?

EEVE Korean Instruct 10.8B Geoheim7 8bit 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 Korean Instruct 10.8B Geoheim7 8bit and how large is it?

EEVE Korean Instruct 10.8B Geoheim7 8bit is developed by jay6944, 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 Geoheim7 8bit?

EEVE Korean Instruct 10.8B Geoheim7 8bit 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 Geoheim7 8bit by jay6944 — VRAM 21.6GB, 4K context

Name: EEVE Korean Instruct 10.8B Geoheim7 8bit
Author: jay6944

EEVE Korean Instruct 10.8B Geoheim7 8bit is an open-source language model by jay6944. Features: 10.8b LLM, VRAM: 21.6GB, Context: 4K, License: apache-2.0, Quantized, Instruction-Based.

8bit Autotrain compatible Base model:yanolja/eeve-korean... Conversational En Endpoints compatible Instruct License:apache-2.0 Llama Quantized Region:us Safetensors Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/jay6944/EEVE-Korean-Instruct-10.8B-geoheim7-8bit

EEVE Korean Instruct 10.8B Geoheim7 8bit Parameters and Internals

LLM Name	EEVE Korean Instruct 10.8B Geoheim7 8bit
Repository 🤗	https://huggingface.co/jay6944/EEVE-Korean-Instruct-10.8B-geoheim7-8bit
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	21.6 GB
Updated	2024-07-04
Maintainer	jay6944
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
Supported Languages	en
Quantization Type	8bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.41.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	40960
Torch Data Type	bfloat16

Rank the EEVE Korean Instruct 10.8B Geoheim7 8bit 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 Geoheim7 8bit

Best Alternatives	Context / RAM	Downloads	Likes
...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
EEVE 10.8 BOOK V0.1	4K / 21.6 GB	7	1

Note: green Score (e.g. "73.2") means that the model is better than jay6944/EEVE-Korean-Instruct-10.8B-geoheim7-8bit.