Qwen2 7B Ko Instruct Orpo Ver 2.0 Wo Chat by spow12

 ยป  All LLMs  ยป  spow12  ยป  Qwen2 7B Ko Instruct Orpo Ver 2.0 Wo Chat   URL Share it on

  Merged Model   Arxiv:1910.09700   Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Ko   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen2 7B Ko Instruct Orpo Ver 2.0 Wo Chat Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 7B Ko Instruct Orpo Ver 2.0 Wo Chat (spow12/Qwen2-7B-ko-Instruct-orpo-ver_2.0_wo_chat)

Qwen2 7B Ko Instruct Orpo Ver 2.0 Wo Chat Parameters and Internals

Supported Languages 
ko (unknown), en (unknown)
LLM NameQwen2 7B Ko Instruct Orpo Ver 2.0 Wo Chat
Repository ๐Ÿค—https://huggingface.co/spow12/Qwen2-7B-ko-Instruct-orpo-ver_2.0_wo_chat 
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-02-22
Maintainerspow12
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesko en
Model ArchitectureQwen2ForCausalLM
Licensecc-by-nc-4.0
Context Length131072
Model Max Length131072
Transformers Version4.40.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD|>
Vocabulary Size151648
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen2 7B Ko Instruct Orpo Ver 2.0 Wo Chat

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB289038236
Qwen2.5 7B RRP 1M986K / 15.2 GB2944
Qwen2.5 7B CelestialHarmony 1M986K / 14.8 GB1535
COCO 7B Instruct 1M986K / 15.2 GB1059
Q2.5 Instruct 1M Harmony986K / 15.2 GB611
Impish QWEN 7B 1M986K / 15.2 GB701
Qwen2.5 7B DeepSeek R1 1M986K / 15.2 GB8810
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB250
Qwen2.5 7B Instruct 1M986K / 15.2 GB6332
MwM 7B CoT Merge1986K / 15.2 GB432
Note: green Score (e.g. "73.2") means that the model is better than spow12/Qwen2-7B-ko-Instruct-orpo-ver_2.0_wo_chat.

Rank the Qwen2 7B Ko Instruct Orpo Ver 2.0 Wo Chat Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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  

What open-source LLMs or SLMs are you in search of? 43470 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227