S1.1 7B by simplescaling

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  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins...   Conversational   Endpoints compatible   Generated from trainer   Instruct   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorboard   Tensorflow   Trl
Model Card on HF ๐Ÿค—: https://huggingface.co/simplescaling/s1.1-7B 

S1.1 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
S1.1 7B (simplescaling/s1.1-7B)

S1.1 7B Parameters and Internals

LLM NameS1.1 7B
Repository ๐Ÿค—https://huggingface.co/simplescaling/s1.1-7B 
Model NameQwen2.5-14B-Instruct-20250308_215306
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Model Size7b
Required VRAM30.5 GB
Updated2025-03-18
Maintainersimplescaling
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-7   4.8 GB: 2-of-7   4.9 GB: 3-of-7   4.9 GB: 4-of-7   5.0 GB: 5-of-7   3.7 GB: 6-of-7   2.2 GB: 7-of-7   0.0 GB
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than simplescaling/s1.1-7B.

Rank the S1.1 7B Capabilities

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Instruction Following and Task Automation  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227