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Vi Qwen2 7B RAG by AITeamVN

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  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2-7b-instr...   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Retrieval-augmented-generation   Safetensors   Sharded   Tensorflow   Vi
Model Card on HF 🤗: https://huggingface.co/AITeamVN/Vi-Qwen2-7B-RAG 

Vi Qwen2 7B RAG Benchmarks

LLME Score: 0.23458
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vi Qwen2 7B RAG (AITeamVN/Vi-Qwen2-7B-RAG)

Vi Qwen2 7B RAG Parameters and Internals

LLM NameVi Qwen2 7B RAG
Repository 🤗https://huggingface.co/AITeamVN/Vi-Qwen2-7B-RAG 
Base Model(s)  Qwen2 7B Instruct   Qwen/Qwen2-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2025-02-22
MaintainerAITeamVN
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 Languagesvi
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.43.4
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Qwen2.5 7B Instruct 1M986K / 15.4 GB289038236
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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 AITeamVN/Vi-Qwen2-7B-RAG.

Rank the Vi Qwen2 7B RAG 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 v20241227
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