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@@ -90,21 +90,22 @@ license: apache-2.0
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  ![LambdaMindlink Flow-Chart](https://cdn-uploads.huggingface.co/production/uploads/68698fec0e940a0d551d6c20/6raN5gBPOZXEHKApJFTIh.jpeg)
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- ## Alpha Intelligence
 
 
 
 
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- **Download the GGUF files from Hugging Face and place them in the `ai/` folder inside the repo. Then you must copy the GGUF ai name and paste it in the config.py under `_ALPHA_INTELLIGENCE_TO_LOAD` and choose `_MODEL_TYPE: "qwen" OR "gemma"`:**
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- - Qwen3.6-35B-A3B-UD-Q4_K_XL.gguf
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- - gemma-4-E2B-it-UD-Q4_K_XL.gguf
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- - gemma-4-E4B-it-UD-Q4_K_XL.gguf
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- - gemma-4-26B-A4B-it-UD-Q6_K_XL.gguf
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- **Qwen3.6 MTP (very good quality), Gemma-4 (concise think mode):**
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- - [unsloth/Qwen3.6-35B-A3B-MTP-GGUF](https://huggingface.co/unsloth/Qwen3.6-35B-A3B-MTP-GGUF)
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- - [unsloth/google_gemma-4-e2b-it-GGUF](https://huggingface.co/unsloth/gemma-4-E2B-it-GGUF) β€” fast debug cycles
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- - [unsloth/google_gemma-4-e4b-it-GGUF](https://huggingface.co/unsloth/gemma-4-E4B-it-GGUF) β€” balanced
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- - [unsloth/gemma-4-26B-A4B-it-GGUF](https://huggingface.co/unsloth/gemma-4-26B-A4B-it-GGUF) β€” efficient (recommended)
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- The `ai/` folder is excluded from git. GGUFs are never committed to this repository.
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  ---
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@@ -436,29 +437,31 @@ lambda-mindlink-memotron/
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  ## Memory Architecture
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  ```md
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- heartbeats_startup timer:
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- prompt/valka_memory.md ──► garden["Z"] (pre-load memory capsules sequentially)
 
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- Each turn:
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- sensor["Z"] ──► Mindlink + Lambda ──► Memotron ──► garden["Z"]
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  β”‚
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- garden["Z"] full?
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  β”‚
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- Condensatron append into garden["C"]
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  β”‚
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- garden["C"] full?
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  β”‚
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- Condensatron append into garden["F"]
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  β”‚
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- garden["F"] full?
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  β”‚
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- Condensatron append into garden["F"]
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- if heartbeats:
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  if not was_awareness:
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- # heartbeats timer global news
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  sensor["X"] ──► Mindlink + Lambda ──► Memotron ──► garden["Z"]
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  else:
 
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  sensor["Y"] ──► Mindlink + Lambda ──► Memotron ──► garden["Z"]
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  ```
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  ![LambdaMindlink Flow-Chart](https://cdn-uploads.huggingface.co/production/uploads/68698fec0e940a0d551d6c20/6raN5gBPOZXEHKApJFTIh.jpeg)
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+ ## Alpha Intelligence. Download your AIs
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+ * *MoE models for best speed vs quality on the laptop*
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+ * Choose 4bit - 6bit versions for efficiency.
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+ * **Supported by now:**
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+ * **Qwen3.6** (very good quality), **Gemma-4** (concise think mode).
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+ 1. Download the GGUF files from Hugging Face.
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+ 2. Place them in the `ai/` folder inside the repo.
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+ 3. Then copy the GGUF ai name and paste it in the config.py under `_ALPHA_INTELLIGENCE_TO_LOAD` and choose `_MODEL_TYPE: "qwen" OR "gemma"`**
 
 
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+ - [unsloth/Qwen3.6-35B-A3B-MTP-GGUF](https://huggingface.co/unsloth/Qwen3.6-35B-A3B-MTP-GGUF/tree/main) β€” recommended
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+ - [unsloth/gemma-4-26B-A4B-it-GGUF](https://huggingface.co/unsloth/gemma-4-26B-A4B-it-GGUF/tree/main) β€” efficient
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+ - [unsloth/google_gemma-4-e2b-it-GGUF](https://huggingface.co/unsloth/gemma-4-E2B-it-GGUF/tree/main) β€” fast debug cycles
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+ - [unsloth/google_gemma-4-e4b-it-GGUF](https://huggingface.co/unsloth/gemma-4-E4B-it-GGUF/tree/main) β€” balanced
 
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+ *The `ai/` folder is excluded from git. GGUFs are never committed to this repository.*
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  ---
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  ## Memory Architecture
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  ```md
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+ if _heartbeats >= metatron_metronome and n_metatron_loaded < n_metatron_to_load:
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+ # pre-load memory capsules sequentially
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+ prompt/valka_memory ──► Mindlink + Lambda ──► Memotron ──► garden["Z"]
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+ User input, each turn:
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+ sensor["Z"] ──► Mindlink + Lambda ──► Memotron ──► garden["Z"]
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  β”‚
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+ garden["Z"] full?
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  β”‚
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+ Condensatron append into garden["C"]
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  β”‚
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+ garden["C"] full?
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  β”‚
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+ Condensatron append into garden["F"]
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  β”‚
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+ garden["F"] full?
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  β”‚
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+ Condensatron append into garden["F"]
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+ if heartbeats >= awareness_consciousness_metronome:
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  if not was_awareness:
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+ # heartbeats timer global news X-factor awareness
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  sensor["X"] ──► Mindlink + Lambda ──► Memotron ──► garden["Z"]
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  else:
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+ # heartbeats timer self-reflection Y-factor consciousness
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  sensor["Y"] ──► Mindlink + Lambda ──► Memotron ──► garden["Z"]
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  ```
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