Pinkstack/Superthoughts-lite-v1

Demo: https://huggingface.co./spaces/Pinkstack/Chat-with-superthoughts-lite

Information

Advanced, high-quality and lite reasoning for a tiny size that you can run on your phone.

At original quality, it runs at ~400 tokens/second on a single H100 Nvidia GPU from Friendli.

Trained similarly to Deepseek R1, we used Smollm2 as a base model, then we've SFT fine tuned on reasoning using our own private superthoughts instruct dataset, which includes a mix of code, website generation, day-to-day questions and answers, math. And then we modified the tokenizer slightly, after the SFT fine tuning we used GRPO to further amplify it's mathematics & problem solving abilities.

Format

<|im_start|>user
How many R's in strawberry<|im_end|>
<|im_start|>assistant
<think>
Alright, the user has asked how many R's in the word strawberry, that's easy! I just need to count each instance of the letter 'R' in the word 's-t-r-a-w-b-e-r-r-y' and then find out how many R's there are, lets count!
S - Not an R,
T - Not an R,
R - First instance of the letter R! (1),
A - Not an R,
W - Not an R,
B - Not an R,
E - Not an R,
R - Great! Second instance of the letter R. (2),
R - Third instance of the letter R. (3),
Y - Not an R.

So, i've counted all the letters correctly, meaning that I am sure that there are 3 R's in the word Strawberry. I should probably let the user know.
</think>
<output>3
</output><|im_end|>

system prompt

(important to ensure it would always think, output).

respond in the following format:
<think>
...
</think>
<output>
...
</output>

Examples:

all responses below generated with our system prompt and a temperature of 0.7. Generated inside the android application, ChatterUI via GGUF Q8, using the model's prompt format. and our 1) 2) 3)

Uploaded model

• Developed by: Pinkstack
• License: apache-2.0
• Finetuned from model : HuggingFaceTB/SmolLM2-1.7B-Instruct