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Superthoughts Lite V1 by Pinkstack

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Model Card on HF 🤗: https://huggingface.co/Pinkstack/Superthoughts-lite-v1 

Superthoughts Lite V1 Benchmarks

MMLU Pro: 8.39
GPQA: 4.14
MUSR: 3.43
BBH: 8.9
IFEval: 16.59 vs 88 (so35)-81.1%
MATH Lvl 5: 2.95
LLME Score: 0.33652
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Superthoughts Lite V1 (Pinkstack/Superthoughts-lite-v1)

Superthoughts Lite V1 Parameters and Internals

LLM NameSuperthoughts Lite V1
Repository 🤗https://huggingface.co/Pinkstack/Superthoughts-lite-v1 
Base Model(s)  HuggingFaceTB/SmolLM2-1.7B-Instruct   HuggingFaceTB/SmolLM2-1.7B-Instruct
Model Size1.7b
Required VRAM3.4 GB
Updated2025-02-22
MaintainerPinkstack
Model Typellama
Instruction-BasedYes
Model Files  3.4 GB   3.4 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.48.3
Tokenizer ClassGPT2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size49153
Torch Data Typefloat16

Best Alternatives to Superthoughts Lite V1

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...ghts Lite 1.8B Experimental O18K / 3.6 GB2401
SmolLM2 1.7B Instruct8K / 3.4 GB85494
SmolLM2 1.7 Persona8K / 3.5 GB80
...RM 1 Smollm2 1.7B Lcot PyTorch8K / 3.4 GB750
SmolLM2 Math IIO 1.7B Instruct8K / 3.4 GB1078
SmolLM2 1.7B Instruct8K / 3.4 GB1153
Immy V38K / 3.4 GB800
SmolLM 1.7B Instruct2K / 3.4 GB30752110
Note: green Score (e.g. "73.2") means that the model is better than Pinkstack/Superthoughts-lite-v1.

Rank the Superthoughts Lite V1 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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Release v20241227
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