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Qwen2 7B Instruct by rubra-ai

 »  All LLMs  »  rubra-ai  »  Qwen2 7B Instruct   URL Share it on

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  Agentic   Autotrain compatible   Conversational   Doi:10.57967/hf/2683   En   Endpoints compatible   Function-calling   Instruct   Model-index   Qwen2   Region:us   Rubra   Safetensors   Sharded   Tensorflow   Tool-calling   Zh
Model Card on HF 🤗: https://huggingface.co/rubra-ai/Qwen2-7B-Instruct 

Qwen2 7B Instruct Benchmarks

LLME Score: 0.20027
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 (rubra-ai/Qwen2-7B-Instruct)

Qwen2 7B Instruct Parameters and Internals

Model Type 
text-generation
Use Cases 
Primary Use Cases:
Complex multi-turn tool/function calling
Limitations:
The model may produce biased or incorrect outputs
Considerations:
Users should exercise caution and critical judgment when using the model in sensitive or high-stakes applications.
Additional Notes 
The model is intended for use with the Hugging Face 'transformers' and rubra library 'rubra-tools'.
Supported Languages 
en (unknown), zh (unknown)
Training Details 
Data Sources:
proprietary dataset consisting of diverse function calling, chat, and instruct data
Methodology:
Post-trained (freeze tuned & DPO)
Responsible Ai Considerations 
Fairness:
The model's outputs are influenced by the data it was trained on, which may contain inherent biases.
LLM NameQwen2 7B Instruct
Repository 🤗https://huggingface.co/rubra-ai/Qwen2-7B-Instruct 
Model Size7b
Required VRAM18.9 GB
Updated2025-01-20
Maintainerrubra-ai
Model Typeqwen2
Instruction-BasedYes
Model Files  4.7 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   4.3 GB: 4-of-4   0.0 GB
Supported Languagesen zh
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Qwen2 7B Instruct V0.1128K / 15.2 GB409681
Qwen2 7B Instruct V0.8128K / 15.2 GB409903
Model 3128K / 15.2 GB260
Cybertron V4 Qw7B MGS128K / 15.2 GB7811
...eCyberMix Qwen 2.5 7B Instruct128K / 15.2 GB492
UwU 7B Instruct128K / 15.2 GB26128
Note: green Score (e.g. "73.2") means that the model is better than rubra-ai/Qwen2-7B-Instruct.

Rank the Qwen2 7B Instruct 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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