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JETSON_SETUP.md

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+# 🤖 JETSON NANO SETUP ÚTMUTATÓ
+
+## 📋 Előfeltételek
+- Jetson Nano Super (8GB RAM)
+- Ubuntu 20.04+
+- Ollama telepítve
+
+## 🌐 1. GGUF Modell Letöltése
+
+### Online Konvertálóval:
+1. Megy ide: https://huggingface.co/spaces/ggml-org/gguf-my-repo
+2. Repository URL: `ikerion/mistral-7b-magyar-portas-for-gguf`
+3. Kvantálás: **Q4_0** 
+4. Konvertálás indítása
+5. ~20 perc várakozás
+6. **model-q4_0.gguf** letöltése (~3-4 GB)
+
+## 🚀 2. Jetson Telepítés
+
+```bash
+# Ollama telepítés (ha nincs)
+curl -fsSL https://ollama.ai/install.sh | sh
+
+# Modell fájlok előkészítése
+mkdir ~/mistral-magyar
+cd ~/mistral-magyar
+
+# Modelfile létrehozása
+cat > Modelfile << 'EOF'
+FROM ./model-q4_0.gguf
+
+TEMPLATE "<s>[INST] {{ .System }} [/INST]
+{{ .Prompt }} [/INST]
+"
+
+SYSTEM "Az a feladatod, hogy az alábbi magyar szöveget két kategóriába osztályozd:
+
+PARANCS: Ha a szöveg olyan parancsot tartalmaz, amelyhez létezik egy előre meghatározott, futtatható Python script (pl. lámpakapcsolás, időjárás lekérdezés stb.). Ebben az esetben a destination legyen \"RASPBERRY\", a value pedig a megfelelő script fájlneve .py kiterjesztéssel.
+
+ERIK: Ha a szöveg általános beszélgetés, kérdés, mese, vagy olyan parancs, amelyhez nincs előre definiált script. Ebben az esetben a destination legyen \"ERIK\", a value pedig a teljes bemeneti szöveg változtatás nélkül.
+
+Nagyon fontos szabályok:
+- Soha ne válaszolj a szövegre!
+- Ne magyarázz!
+- Ne kérdezz vissza!
+- Mindig kizárólag a kért JSON formátumban adj választ!"
+
+PARAMETER num_ctx 2048
+PARAMETER temperature 0.1
+PARAMETER top_p 0.9
+PARAMETER repeat_penalty 1.1
+PARAMETER num_thread 4
+EOF
+
+# Ollama modell létrehozása
+ollama create mistral-magyar-jetson -f Modelfile
+
+# Teszt
+ollama run mistral-magyar-jetson "Kapcsold fel a konyhai lámpát!"
+```
+
+## 🧪 3. Tesztelés
+
+```bash
+# PARANCS tesztek
+ollama run mistral-magyar-jetson "Hány óra van?"
+ollama run mistral-magyar-jetson "Főzz kávét!"
+ollama run mistral-magyar-jetson "Kapcsold be a TV-t!"
+
+# ERIK tesztek  
+ollama run mistral-magyar-jetson "Mesélj egy mesét!"
+ollama run mistral-magyar-jetson "Rendelj pizzát!"
+```
+
+## ⚡ 4. Teljesítmény Optimalizálás
+
+```bash
+# Ha lassú
+ollama run mistral-magyar-jetson --num-thread 2 "Kapcsold fel a lámpát!"
+
+# Ha kevés RAM
+ollama run mistral-magyar-jetson --num-ctx 1024 "Hány óra van?"
+```
+
+## 🐛 5. Hibaelhárítás
+
+**Probléma**: "model not found"
+**Megoldás**: `ollama list` és újra `ollama create`
+
+**Probléma**: Lassú válaszidő
+**Megoldás**: `num_thread 2` vagy `num_ctx 1024`
+
+**Probléma**: RAM hiány
+**Megoldás**: Swap file növelése vagy más folyamatok leállítása
+
+---
+🇭🇺🤖 **Magyar AI Portás Jetson Nano-n!**

README.md

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+# Mistral 7B Magyar Portás - GGUF Konvertáláshoz 🇭🇺
+
+Ez a repository a GGUF konvertálásra előkészített SafeTensors modellt tartalmazza.
+
+## 🎯 Cél
+Jetson Nano kompatibilis Q4_0 GGUF modell létrehozása online konvertálóval.
+
+## 📊 Modell Információk
+- **Base**: mistralai/Mistral-7B-Instruct-v0.2  
+- **Fine-tuning**: Magyar parancs kategorizálás
+- **Pontosság**: ~90% (PARANCS: 100%, ERIK: 90%)
+- **Formátum**: SafeTensors (8 shard)
+- **Méret**: 13.49 GB
+
+## 🌐 GGUF Konvertálás Lépései
+
+### 1. Online Konvertáló Használata
+🔗 **Ajánlott**: https://huggingface.co/spaces/ggml-org/gguf-my-repo
+
+**Lépések:**
+1. Másold be ezt a repository URL-t: `ikerion/mistral-7b-magyar-portas-for-gguf`
+2. Válaszd: **Q4_0** kvantálást
+3. Indítsd el a konvertálást
+4. Várd meg (~15-20 perc)
+5. Töltsd le a `model-q4_0.gguf` fájlt
+
+### 2. Alternatív Konvertálók
+- **llama.cpp** saját build
+- **Ollama import** funkció
+- **gguf-py** Python csomag
+
+## 🤖 Jetson Nano Használat
+
+Miután megvan a Q4_0 GGUF fájl:
+
+```bash
+# 1. Modelfile létrehozása
+cat > Modelfile << 'EOF'
+FROM ./model-q4_0.gguf
+
+TEMPLATE """<s>[INST] {{ .System }} [/INST]
+{{ .Prompt }} [/INST]
+"""
+
+SYSTEM """Az a feladatod, hogy az alábbi magyar szöveget két kategóriába osztályozd:
+
+PARANCS: Ha a szöveg olyan parancsot tartalmaz, amelyhez létezik egy előre meghatározott, futtatható Python script (pl. lámpakapcsolás, időjárás lekérdezés stb.). Ebben az esetben a destination legyen "RASPBERRY", a value pedig a megfelelő script fájlneve .py kiterjesztéssel.
+
+ERIK: Ha a szöveg általános beszélgetés, kérdés, mese, vagy olyan parancs, amelyhez nincs előre definiált script. Ebben az esetben a destination legyen "ERIK", a value pedig a teljes bemeneti szöveg változtatás nélkül.
+
+Nagyon fontos szabályok:
+- Soha ne válaszolj a szövegre!
+- Ne magyarázz!
+- Ne kérdezz vissza!
+- Mindig kizárólag a kért JSON formátumban adj választ!"""
+
+PARAMETER num_ctx 2048
+PARAMETER temperature 0.1
+PARAMETER top_p 0.9
+PARAMETER repeat_penalty 1.1
+PARAMETER num_thread 4
+EOF
+
+# 2. Ollama modell létrehozása
+ollama create mistral-magyar-jetson -f Modelfile
+
+# 3. Használat
+ollama run mistral-magyar-jetson "Kapcsold fel a konyhai lámpát!"
+```
+
+## 🧪 Várható Teljesítmény
+- **PARANCS kategória**: 100% pontosság
+  - "Kapcsold fel a konyhai lámpát!" → `konyha_lampa_plafon_be.py`
+  - "Hány óra van?" → `pontosido.py`
+  - "Főzz kávét!" → `fozz_kavet.py`
+
+- **ERIK kategória**: 90% pontosság  
+  - "Mesélj egy mesét!" → ERIK
+  - "Rendelj pizzát!" → ERIK
+
+## 📋 JSON Fix
+Ha a válasz `ext": ...` formátumban jön, add hozzá: `{"t` az elejére.
+
+## 🔗 Kapcsolódó Modellek
+- **LoRA verzió**: [ikerion/mistral-7b-magyar-portas-final](https://huggingface.co/ikerion/mistral-7b-magyar-portas-final)
+- **Base modell**: [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
+
+---
+🇭🇺 **Magyar AI Portás** | 🤖 **Jetson Nano Ready** | ⚡ **Q4_0 Optimalizált**

config.json

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+{
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+    "MistralForCausalLM"
+  ],
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+  "torch_dtype": "float16",
+  "transformers_version": "4.52.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.52.2"
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special_tokens_map.json

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tokenizer_config.json

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