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Qwen2 7B Instruct V0.5 by MaziyarPanahi

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  Autotrain compatible   Base model:qwen/qwen2-7b   Chat   Chatml   Conversational Dataset:microsoft/orca-math-wo...   Dataset:nvidia/helpsteer2   Dataset:open-orca/slimorca   Dataset:teknium/openhermes-2.5   En   Finetuned   Helpsteer2   Instruct   License:apache-2.0   Openhermes-2.5   Orca   Qwen   Qwen2   Region:us   Safetensors   Sharded   Slimorca   Tensorflow
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Qwen2-7B-Instruct-v0.5 

Qwen2 7B Instruct V0.5 Benchmarks

LLME Score: 0.28922
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 7B Instruct V0.5 (MaziyarPanahi/Qwen2-7B-Instruct-v0.5)

Qwen2 7B Instruct V0.5 Parameters and Internals

LLM NameQwen2 7B Instruct V0.5
Repository 🤗https://huggingface.co/MaziyarPanahi/Qwen2-7B-Instruct-v0.5 
Model NameQwen2-7B-Instruct-v0.5
Model CreatorMaziyarPanahi
Base Model(s)  Qwen2 7B   Qwen/Qwen2-7B
Model Size7b
Required VRAM15.2 GB
Updated2024-07-21
MaintainerMaziyarPanahi
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
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.41.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen2 7B Instruct V0.5

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Context / RAM
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Cybertron V4 Qw7B UNAMGS128K / 15.2 GB22825
Gte Qwen2 7B Instruct128K / 30.5 GB41133235
...eCyberMix Qwen 2.5 7B Instruct128K / 15.2 GB111
Cybertron V4 Qw7B MGS128K / 15.2 GB25511
Qwen2 7B Instruct V0.1128K / 15.2 GB409681
Rombos LLM V2.5 Qwen 7B128K / 15.2 GB28515
Tsunami 0.5x 7B Instruct128K / 15.2 GB3381
Qwen2 7B Instruct V0.8128K / 15.2 GB409903
...areneg3Bv2 ECE PRYMMAL Martial128K / 15.2 GB561
Einstein V7 Qwen2 7B128K / 15.2 GB713135
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Qwen2-7B-Instruct-v0.5.

Rank the Qwen2 7B Instruct V0.5 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 v20241217
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