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README.md
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---
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language:
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license:
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tags:
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library_name: micro-distillery
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---
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This model was trained from scratch using a combination of:
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It is a compact character-level bigram model - no transformer weights,
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just transition probabilities. Runs on any machine with Python 3.8+.
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## Reference Architectures
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The bundle metadata references these modern (2025-2026) open models as
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## License
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language:
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- en
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license: mit
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tags:
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- micro-distillery
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- bigram
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- grpo
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- vae
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- distilled
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- smollm2
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- qwen2.5
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- olmo
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- tinyllama
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library_name: micro-distillery
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---
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-- β ββββββββββ
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-- βββββ β ββββββ
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-- ββ βββββββββββ v2
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# MICROD v2
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This model was trained from scratch using a combination of:
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It is a compact character-level bigram model - no transformer weights,
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just transition probabilities. Runs on any machine with Python 3.8+.
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This Model was made on the fly with: Micro Distillery located in the /app/ folder. A single file html that pulls from fanned api to create custom models on the fly. Internet connection required.
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## Reference Architectures
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The bundle metadata references these modern (2025-2026) open models as
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## License
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MIT Open Sourced
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