EEVE Korean Instruct 10.8B V1.0 Gguf by teddylee777

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EEVE Korean Instruct 10.8B V1.0 Gguf is an open-source language model by teddylee777. Features: 10.8b LLM, VRAM: 6.1GB, Context: 4K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.15.

  Arxiv:2306.02707   Arxiv:2310.01377   Arxiv:2402.14714   Autotrain compatible Base model:quantized:yanolja/e... Base model:yanolja/eeve-korean...   Conversational   Endpoints compatible   Generated from trainer   Gguf   Instruct   Llama   Q4   Quantized   Region:us

EEVE Korean Instruct 10.8B V1.0 Gguf Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
EEVE Korean Instruct 10.8B V1.0 Gguf (teddylee777/EEVE-Korean-Instruct-10.8B-v1.0-gguf)
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EEVE Korean Instruct 10.8B V1.0 Gguf Parameters and Internals

Model Type 
Language Model, Multilingual
Additional Notes 
Quantization done using llama.cpp
Training Details 
Data Sources:
Open-Orca/SlimOrca-Dedup, argilla/ultrafeedback-binarized-preferences-cleaned
Methodology:
Korean translation of datasets and quantization using llama.cpp
Context Length:
4096
LLM NameEEVE Korean Instruct 10.8B V1.0 Gguf
Repository ๐Ÿค—https://huggingface.co/teddylee777/EEVE-Korean-Instruct-10.8B-v1.0-gguf 
Base Model(s)  yanolja/EEVE-Korean-10.8B-v1.0   yanolja/EEVE-Korean-10.8B-v1.0
Model Size10.8b
Required VRAM6.1 GB
Updated2025-10-08
Maintainerteddylee777
Model Typellama
Instruction-BasedYes
Model Files  21.6 GB   43.2 GB   6.1 GB   6.8 GB   6.5 GB   6.2 GB   7.5 GB   7.7 GB   7.5 GB   8.9 GB   11.5 GB
GGUF QuantizationYes
Quantization Typegguf|q4|q4_k|q5_k
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size40960
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than teddylee777/EEVE-Korean-Instruct-10.8B-v1.0-gguf.

Rank the EEVE Korean Instruct 10.8B V1.0 Gguf 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  

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Release v20260328a