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CursorCore QW2.5 1.5B by TechxGenus

 »  All LLMs  »  TechxGenus  »  CursorCore QW2.5 1.5B   URL Share it on

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  Arxiv:2410.07002   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-...   Code   Codegen   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TechxGenus/CursorCore-QW2.5-1.5B 

CursorCore QW2.5 1.5B Benchmarks

LLME Score: 0.22834
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CursorCore QW2.5 1.5B (TechxGenus/CursorCore-QW2.5-1.5B)

CursorCore QW2.5 1.5B Parameters and Internals

Model Type 
text-generation
Additional Notes 
CursorCore is a series of open-source models designed for AI-assisted programming, providing features such as automated editing and inline chat. It aims to replicate the abilities of closed-source AI-assisted programming tools like Cursor through aligning data generated via Programming-Instruct.
LLM NameCursorCore QW2.5 1.5B
Repository 🤗https://huggingface.co/TechxGenus/CursorCore-QW2.5-1.5B 
Base Model(s)  Qwen/Qwen2.5-Coder-1.5B   Qwen/Qwen2.5-Coder-1.5B
Model Size1.5b
Required VRAM3.1 GB
Updated2025-02-22
MaintainerTechxGenus
Model Typeqwen2
Model Files  3.1 GB
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.45.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151680
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than TechxGenus/CursorCore-QW2.5-1.5B.

Rank the CursorCore QW2.5 1.5B 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 v20241227
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