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Superthoughts Lite V1 by Pinkstack

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Superthoughts Lite V1 is an open-source language model by Pinkstack. Features: 1.7b LLM, VRAM: 3.4GB, Context: 8K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.19.

  Arxiv:2402.03300 Base model:finetune:huggingfac... Base model:huggingfacetb/smoll...   Conversational   Cot   Dataset:openai/gsm8k Dataset:pinkstack/intructions-...   En   Endpoints compatible   Grpo   Instruct   Llama   Pytorch   Reasoning   Region:us   Rl   Safetensors   Superthoughts   Trl
Model Card on HF 🤗: https://huggingface.co/Pinkstack/Superthoughts-lite-v1 

Superthoughts Lite V1 Benchmarks

LLME Score: 0.19453
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)
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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
Updated2026-05-26
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

Best Alternatives
Context / RAM
Downloads
Likes
SmolLM2 1.7B Instruct 16K16K / 3.4 GB15710
SmolLM2 1.7B Instruct8K / 3.4 GB182834728
SmolLM2 1.7B Instruct8K / 3.4 GB17476
...ygnis Alpha 1.7B V0.1 Instruct8K / 3.4 GB1702
SmolTulu 1.7B Reinforced8K / 3.4 GB115
SmolLM2 1.7 Persona8K / 3.5 GB970
Penny 1.7B8K / 6.9 GB17024
...ghts Lite 1.8B Experimental O18K / 3.6 GB162
Cllm 1.0.0 340000 Instruct8K / 3.5 GB50
SmolLM2 1.7B Open Thought8K / 3.4 GB11
Note: green Score (e.g. "73.2") means that the model is better than Pinkstack/Superthoughts-lite-v1.

Rank the Superthoughts Lite V1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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