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

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Krx Qwen2 7B Instruct V2 M Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Krx Qwen2 7B Instruct V2 M Parameters and Internals

LLM NameKrx Qwen2 7B Instruct V2 M
Repository ๐Ÿค—https://huggingface.co/KR-X-AI/krx-qwen2-7b-instruct-v2-m 
Base Model(s)  unsloth/qwen2-7b-instruct-bnb-4bit   unsloth/qwen2-7b-instruct-bnb-4bit
Model Size7b
Required VRAM15.2 GB
Updated2024-12-04
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 M (KR-X-AI/krx-qwen2-7b-instruct-v2-m)

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Note: green Score (e.g. "73.2") means that the model is better than KR-X-AI/krx-qwen2-7b-instruct-v2-m.

Rank the Krx Qwen2 7B Instruct V2 M 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124