Autotrain Qwen Finetune Reason by toastloaf

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  Autotrain   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-1.5b-i...   Conversational Dataset:mlabonne/openthoughts-...   Endpoints compatible   Finetuned   Instruct   Peft   Qwen2   Region:us   Safetensors   Tensorboard

Autotrain Qwen Finetune Reason Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Autotrain Qwen Finetune Reason (toastloaf/autotrain-qwen-finetune-reason)
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Autotrain Qwen Finetune Reason Parameters and Internals

LLM NameAutotrain Qwen Finetune Reason
Repository ๐Ÿค—https://huggingface.co/toastloaf/autotrain-qwen-finetune-reason 
Base Model(s)  Qwen/Qwen2.5-1.5B-Instruct   Qwen/Qwen2.5-1.5B-Instruct
Model Size1.5b
Required VRAM3.1 GB
Updated2025-04-11
Maintainertoastloaf
Model Typeqwen2
Instruction-BasedYes
Model Files  3.1 GB   0.0 GB
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.48.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than toastloaf/autotrain-qwen-finetune-reason.

Rank the Autotrain Qwen Finetune Reason 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 v20241124