Qwen2.5 7B Instruct Full Pretrain Control Tweet 1M En by AmberYifan

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  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins...   Conversational   Endpoints compatible   Full   Generated from trainer   Instruct   Llama-factory   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen2.5 7B Instruct Full Pretrain Control Tweet 1M En Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 7B Instruct Full Pretrain Control Tweet 1M En (AmberYifan/qwen2.5-7b-instruct-full-pretrain-control-tweet-1m-en)
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Qwen2.5 7B Instruct Full Pretrain Control Tweet 1M En Parameters and Internals

LLM NameQwen2.5 7B Instruct Full Pretrain Control Tweet 1M En
Repository ๐Ÿค—https://huggingface.co/AmberYifan/qwen2.5-7b-instruct-full-pretrain-control-tweet-1m-en 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2025-09-19
MaintainerAmberYifan
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   0.0 GB
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.52.4
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 AmberYifan/qwen2.5-7b-instruct-full-pretrain-control-tweet-1m-en.

Rank the Qwen2.5 7B Instruct Full Pretrain Control Tweet 1M En 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