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Model: Abduqodir06/Lyra-Uz
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+language:
+- uz
+- en
+base_model: mistralai/Mistral-7B-Instruct-v0.3
+library_name: transformers
+tags:
+- text-generation-inference
+- summarization
+- translation
+- question-answering
+pipeline_tag: text-generation
+---
+
+# LYRA-Uz
+
+**LYRA-Uz** — o‘zbek tilida yuqori sifatli ko‘rsatmalarni bajaruvchi (instruction-tuned) ochiq manbali til modeli. **Mistral-7B-Instruct-v0.3** arxitekturasi asosida o‘zbek va ingliz tillaridagi maʼlumotlar bilan maxsus oʻqitilgan. Apache 2.0 litsenziyasi bilan erkin foydalanish mumkin.
+
+## Asosiy imkoniyatlari
+
+- **Savol-javob** — o‘zbek tilidagi umumiy bilim savollariga javob beradi
+- **Matnni umumlashtirish** — uzoq matnlarni qisqacha bayon qiladi
+- **Tarjima** — o‘zbek ↔ ingliz tillari o‘rtasida tarjima qiladi
+- **Matn tasnifi** — yangiliklar, hissiy tahlil va boshqa toifalarga ajratadi
+- **Ko‘rsatmalarni bajarish** — berilgan vazifani ingliz va o‘zbek tillarida tushunib, bajaradi
+ ## Tezkor ishlatish
+```markdown
+
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("Abduqodir06/Lyra-Uz")
+model = AutoModelForCausalLM.from_pretrained(
+    "Abduqodir06/Lyra-Uz",
+    load_in_4bit=True,
+    device_map="auto"
+)
+
+prompt = "O'zbekiston poytaxti qaysi?"
+inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
+outputs = model.generate(**inputs, max_new_tokens=128)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## LYRA loyihasi haqida
+
+Ushbu model **LYRA (Large Uzbek Language Reasoning Architecture)** loyihasining bir qismidir. To‘liq loyiha quyidagi bosqichlarni o‘z ichiga oladi (hozirda ustida ish olib borilmoqda):
+
+1. **Tokenizer optimallashtirish** — o‘zbek tili morfologiyasiga mos BPE
+2. **RAG va veb-qidiruv** — bilimlarni real vaqtda qidirib javob berish
+3. **Deploy** — FastAPI, Telegram bot va ommaviy foydalanish
+
+> **Hozirgi holat**: Ushbu repo’dagi model LYRA loyihasining birinchi tayyor komponentidir. Qo‘shimcha funksiyalar (RAG, veb-qidiruv, maxsus tokenizator) ustida ish olib borilmoqda.
+
+## Texnik maʼlumotlar
+
+| Xususiyat | Qiymat |
+|-----------|--------|
+| **Parametrlar soni** | 7 milliard |
+| **Arxitektura** | Mistral-7B-Instruct-v0.3 |
+| **Litsenziya** | Apache 2.0 |
+| **GPU talabi (FP16)** | ~14.5 GB VRAM |
+| **GPU talabi (4-bit)** | ~4.5 GB VRAM |
+| **Tillari** | o‘zbek (asosiy), ingliz |

config.json

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+    "MistralForCausalLM"
+  ],
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+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.1",
+  "use_cache": true,
+  "vocab_size": 32768
+}

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+  "transformers_version": "4.44.1"
+}

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