Qwen Bolt Coder by AIGym

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  Arxiv:1910.09700   Autotrain compatible   Codegen   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/AIGym/qwen-bolt-coder 

Qwen Bolt Coder Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen Bolt Coder (AIGym/qwen-bolt-coder)

Qwen Bolt Coder Parameters and Internals

LLM NameQwen Bolt Coder
Repository ๐Ÿค—https://huggingface.co/AIGym/qwen-bolt-coder 
Model Size7b
Required VRAM15.2 GB
Updated2025-01-17
MaintainerAIGym
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
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than AIGym/qwen-bolt-coder.

Rank the Qwen Bolt Coder 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