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Update README.md

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  ---
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  language:
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- - en
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- license: apache-2.0
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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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- # Micro Distillery β€” Bigram Distilled Model
 
 
 
 
 
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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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- Apache 2.0
 
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  ---
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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–– β––β–„β––β–„β––β–„β––β–„β––β–„
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+ -- β–›β––β–žβ–Œβ– β–Œ β–™β–˜β–Œβ–Œβ–Œβ–Œ
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+ -- β–Œβ– β–Œβ–Ÿβ––β–™β––β–Œβ–Œβ–™β–Œβ–™β–˜ v2
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+
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+
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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