---
base_model:
- Pinkstack/Superthoughts-lite-v1
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- gguf
- cot
- superthoughts
- reasoning
- grpo
license: apache-2.0
language:
- en
datasets:
- openai/gsm8k
- Pinkstack/intructions-sft-sharegpt
---
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 chats, math and counting problems. And then we modified the tokenizer slightly, after the SFT fine tuning we used GRPO to further amplify it's mathematics & problem solving abilities.
# Which quant is right for you?
***F16***: Least hallucinations, high-quality reasoning yet heavy to run.
***Q8_0***: Limited amount of hallucinations high-quality reasoning, recommended
***Q6_k***: Hallucinates more, good reasoning but may fail at counting etc. only use if you cannot run Q8_0.
***Q4_k_m***: Not recommended, Hallucinates, doesn't always think properly. easier to run though.
# Format
```
<|im_start|>user
How many R's in strawberry<|im_end|>
<|im_start|>assistant
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.
<|im_end|>
```
We reccomend to use a low temperatures as higher values may cause it to not think.
# system prompt
(important to ensure it would always think, output).
```
respond in the following format:
...
```
# 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