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README.md
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base_model: HuggingFaceTB/SmolLM-135M
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###EVEN SMALLER Frankenstein of smolLm-0.13b upped to 0.15b
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Use this frankenbase for training.
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Done via semi-automated continuous merging to figure out the recipe.
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Model is more coherent.
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6379683a81c1783a4a2ddba8/UK0_mQxy6GOHKxGKBbdhx.png)
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I don't understand how the f a 150mb file can talk but it can
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base_model: HuggingFaceTB/SmolLM-135M
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datasets:
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- LDJnr/Capybara
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###EVEN SMALLER Frankenstein of smolLm-0.13b upped to 0.15b
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Use this frankenbase for training.
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If you're here from twitter and imatient, get the trained checkpoint file.
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```bash
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biggie-smollm-checkpoint-twitter-q8_0.gguf
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```
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```bash
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wget https://huggingface.co/nisten/Biggie-SmoLlm-0.15B-Base/resolve/main/biggie-smollm-checkpoint-twitter-q8_0.gguf
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./llama-cli -n 1024 -fa -b 512 --min-p 0.3 --top-p 0.85 -ctk q8_0 -ctv q8_0 --keep -1 -p "You are a Nasa jpl engineer teaching the user about space and cats. <|im_start|>User: How to build a city on Mars via calculating Aldrin-Cycler orbits?<im_end> /n " -m biggie-smollm-checkpoint-twitter-q8_0.gguf --temp 2 -ngl 0 -t 1 -co -cnv --reverse-prompt "Assistant:"
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```
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Done via semi-automated continuous merging to figure out the recipe.
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Model is more coherent.
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6379683a81c1783a4a2ddba8/UK0_mQxy6GOHKxGKBbdhx.png)
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I don't understand how the f a 150mb file can talk but it can
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