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@@ -21,19 +21,13 @@ The flagship local brain of **Daimon** — reasoning + coding. Runs on a GPU via
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  assistant. Daimon-R = `Qwen/Qwen3-4B-Instruct-2507` (quantized GGUF) + a Daimon LoRA, served
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  locally with llama.cpp. The weights are open — use them standalone today.
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- ## Benchmarks
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- Measured locally (llama.cpp, greedy decoding) HumanEval, full 164 problems, pass@1:
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-
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- | Model | HumanEval pass@1 |
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- |---|---|
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- | **Daimon-R** | **72.0%** (118/164) |
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- | Qwen3-4B base | 72.6% (119/164) |
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-
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- ![HumanEval](bench-daimon-r.png)
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-
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- The Daimon identity/behavior LoRA **preserves the base's coding ability** (parity, within
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- noise) — the finetune targets persona/behavior, not raw coding. Re-measured each finetune.
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-
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  ## Run standalone
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  ```bash
 
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  assistant. Daimon-R = `Qwen/Qwen3-4B-Instruct-2507` (quantized GGUF) + a Daimon LoRA, served
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  locally with llama.cpp. The weights are open — use them standalone today.
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+ ## What the Daimon LoRA adds
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+ The LoRA tunes **persona and behavior**, not raw coding (that stays at the base's level):
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+ - A consistent **Daimon identity** (first person, local-first assistant) instead of a generic
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+ "language model" voice.
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+ - **Canvas convention**: when you ask it to build a web/app/UI it replies with a single
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+ self-contained ```html``` block that renders live — no preamble, no copy-paste.
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+ - Concise **Rioplatense Spanish** for chat, plus a voice-friendly register for TTS.
 
 
 
 
 
 
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  ## Run standalone
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  ```bash