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Add 8 courtroom jargon-style LoRAs (GGUF) for MiniCPM5-1B

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.gitattributes CHANGED
@@ -33,3 +33,11 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ style-ai.lora.gguf filter=lfs diff=lfs merge=lfs -text
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+ style-aviation.lora.gguf filter=lfs diff=lfs merge=lfs -text
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+ style-corporate.lora.gguf filter=lfs diff=lfs merge=lfs -text
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+ style-gaming.lora.gguf filter=lfs diff=lfs merge=lfs -text
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+ style-medical.lora.gguf filter=lfs diff=lfs merge=lfs -text
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+ style-politics.lora.gguf filter=lfs diff=lfs merge=lfs -text
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+ style-scifi.lora.gguf filter=lfs diff=lfs merge=lfs -text
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+ style-sports.lora.gguf filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: openbmb/MiniCPM5-1B
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+ tags:
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+ - lora
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+ - gguf
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+ - llama.cpp
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+ - text-generation
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+ language:
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+ - en
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+ ---
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+
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+ # Buzzwords & Misdemeanors — style LoRAs
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+
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+ Eight GGUF LoRA adapters for **`openbmb/MiniCPM5-1B`** (apply with `llama.cpp`, no merge),
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+ one per jargon *style*. They turn the base model into a courtroom actor (judge / prosecutor
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+ / defense — selected by system prompt) that argues in dense domain jargon while never naming
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+ the hidden profession or charge in plain words.
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+
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+ Built for the Hugging Face **Build Small** hackathon. See the game:
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+ [BuildSmallHackathon](https://github.com/) · base GGUF: `openbmb/MiniCPM5-1B-GGUF`.
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+
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+ ## Adapters
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+ `style-{corporate, aviation, ai, politics, medical, gaming, sports, scifi}.lora.gguf`
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+
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+ ## How they were trained
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+ - **Teacher distillation:** Gemma 4 31B (FP8) generated ShareGPT courtroom transcripts,
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+ anchored by curated per-style jargon banks and seeded for variety.
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+ - **Curriculum fork:** stage 1 trains a generic legal LoRA (`legal_base`) on MiniCPM5-1B;
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+ stage 2 forks each style from it (fresh run, same config) — never merged into the base.
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+ - Each adapter benchmarked vs the base (think-mode off): all 8 PASS — high target-jargon
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+ coverage, peaking on their own style.
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+
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+ ## Usage (llama.cpp)
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+ ```bash
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+ # base + one style adapter
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+ llama-cli -m MiniCPM5-1B-Q4_K_M.gguf --lora style-corporate.lora.gguf -p "..."
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+ ```
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