61 lines
2.9 KiB
Markdown
61 lines
2.9 KiB
Markdown
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---
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base_model: Pinkstack/Superthoughts-lite-1.8B-experimental-o1
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tags:
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- text-generation-inference
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- transformers
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- unsloth
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- llama
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- trl
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- sft
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- code
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- superthoughts
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- cot
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- reasoning
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- gguf
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license: apache-2.0
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language:
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- en
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pipeline_tag: text-generation
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new_version: Pinkstack/Superthoughts-lite-v1-GGUF
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---
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# Information
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Advanced, high-quality and lite reasoning for a tiny size that you can run locally in Q8 on your phone! 😲
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⚠️This is an experimental version: it may not always answer your question properly or correctly. currently reasoning may not always work on long conversations, as we've trained it on single turn conversations only.
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SmolLM2-1.7B-Instruct on an advanced reasoning pattern dataset (half synthetic, half written manually by us.) to create this model. Supposed to output like this:
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```
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<|im_start|>user
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What are you<|im_end|>
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<|im_start|>assistant
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<think>
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Alright, the user just asked 'What are you', meaning they want to know who I am. I think my name is Superthoughts (lite version), created by Pinkstack on January 2025. I'm ready to answer their question.
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</think>
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Welcome! I'm Superthoughts (lite) created by Pinkstack in January 2025. Ready to help you with whatever you need!<|im_end|>
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```
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# Which quant is right for you?
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- ***Q4_k_m:*** This quant *can* be used on most devices, quality is acceptable but reasoning quality is low.
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- ***Q6_k:*** This quant is right in the middle, quality is better than q4_k_m but reasoning is still more limited than Q8.
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- ***Q8_0:*** **RECOMMENDED** This quant yields very high quality results, good reasoning, good answers at a fast speed, on a Snapdragon 8 Gen 2 with 16 GB's of ram, it runs on 13 tokens per minute on average, see examples below.
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- ***F16:*** Maximum quality GGUF quant, not needed for most tasks, results very similar to Q8_0.
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# Examples:
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all responses below generated with no system prompt, 400 maximum tokens and a temperature of 0.7 (not recommended, 0.3 - 0.5 is better):
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Generated inside the android application, Pocketpal via GGUF Q8, using the model's prompt format.
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1)
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2)
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3)
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4)
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# Uploaded model
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- **Developed by:** Pinkstack
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- **License:** apache-2.0
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- **Finetuned from model :** HuggingFaceTB/SmolLM2-1.7B-Instruct
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This smollm2 model was trained with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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