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Sejong Qwen V1 by SejongKRX

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  4bit Base model:finetune:unsloth/qw...   Base model:unsloth/qwen2.5-7b Dataset:allganize/financial-mm... Dataset:mlabonne/open-perfectb...   En   Ko   Krx   Pytorch   Quantized   Qwen2   Region:us   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/SejongKRX/Sejong-Qwen-v1 

Sejong Qwen V1 Benchmarks

LLME Score: 0.21985
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sejong Qwen V1 (SejongKRX/Sejong-Qwen-v1)

Sejong Qwen V1 Parameters and Internals

LLM NameSejong Qwen V1
Repository 🤗https://huggingface.co/SejongKRX/Sejong-Qwen-v1 
Base Model(s)  unsloth/Qwen2.5-7B   unsloth/Qwen2.5-7B
Model Size7b
Required VRAM15.2 GB
Updated2025-03-24
MaintainerSejongKRX
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4   1.1 GB: 4-of-4
Supported Languagesko en
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

Best Alternatives to Sejong Qwen V1

Best Alternatives
Context / RAM
Downloads
Likes
...B Instruct 1M Unsloth Bnb 4bit986K / 7.5 GB18752
Qwen2.5 7B Instruct 1M 4bit986K / 4.3 GB7607
Qwen2.5 7B Instruct 1M 8bit986K / 8.1 GB2133
Qwen2.5 7B Instruct 1M 6bit986K / 6.2 GB1142
...still Qwen 7B Unsloth Bnb 4bit128K / 8.5 GB14062716
Mini Pathfinder128K / 15.2 GB160
...ek R1 Distill Qwen 7B Bnb 4bit128K / 5.5 GB28423
A1 V002128K / 15.2 GB180
CogitoDistil128K / 15.2 GB140
A1 V0.0.1128K / 15.2 GB70
Note: green Score (e.g. "73.2") means that the model is better than SejongKRX/Sejong-Qwen-v1.

Rank the Sejong Qwen V1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241227
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