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Krx Qwen2 7B Instruct V2 by KR-X-AI

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Krx Qwen2 7B Instruct V2 Benchmarks

LLME Score: 0.28398
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Krx Qwen2 7B Instruct V2 Parameters and Internals

LLM NameKrx Qwen2 7B Instruct V2
Repository 🤗https://huggingface.co/KR-X-AI/krx-qwen2-7b-instruct-v2 
Base Model(s)  unsloth/qwen2-7b-instruct-bnb-4bit   unsloth/qwen2-7b-instruct-bnb-4bit
Model Size7b
Required VRAM15.2 GB
Updated2024-11-21
MaintainerKR-X-AI
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 Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
Krx Qwen2 7B Instruct V2 (KR-X-AI/krx-qwen2-7b-instruct-v2)

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Qwen2.5 7B Instruct Bnb 4bit32K / 5.5 GB656395
FastApply 7B V1.032K / 15.2 GB32814
...2.5 Coder 7B Instruct Bnb 4bit32K / 5.5 GB32264
...en2.5.1 Coder 7B Instruct 8bit32K / 8.1 GB1382
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....5 7B DPO Split1 16bit Chunk1232K / 15.2 GB3740
Krx Qwen2.5 7B Instruct V232K / 15.2 GB620
...Qwen 2.5 7B Instruct V0.2410.032K / 15.2 GB4890
Qwen2.5 7B Instruct 4bit32K / 4.3 GB4963
Krx Qwen2 7B Instruct V2 M32K / 15.2 GB420
Note: green Score (e.g. "73.2") means that the model is better than KR-X-AI/krx-qwen2-7b-instruct-v2.

Rank the Krx Qwen2 7B Instruct V2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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