初始化项目，由ModelHub XC社区提供模型

Model: inspirebek/qwen3-4b-uzbek-v2-awq
Source: Original Platform

README.md

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+---
+language:
+- uz
+- en
+license: cc-by-nc-4.0
+datasets:
+- yakhyo/uz-wiki
+- tahrirchi/uz-books-v2
+- tahrirchi/uz-crawl
+- saillab/alpaca_uzbek_taco
+- behbudiy/alpaca-cleaned-uz
+- UAzimov/uzbek-instruct-llm
+- CohereLabs/aya_collection_language_split
+- med-alex/qa_mt_ru_to_uzn
+- med-alex/qa_mt_tr_to_uzn
+library_name: transformers
+pipeline_tag: text-generation
+base_model: inspirebek/qwen3-4b-uzbek-v2
+tags:
+- uzbek
+- qwen3
+- quantized
+- 4-bit
+- awq
+---
+
+# qwen3-4b-uzbek-v2-awq
+
+awq 4-bit activation-aware quant (~3.4 gb) of [`inspirebek/qwen3-4b-uzbek-v2`](https://huggingface.co/inspirebek/qwen3-4b-uzbek-v2). fast gpu inference via vllm / tgi / transformers.
+
+## usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+tok = AutoTokenizer.from_pretrained("inspirebek/qwen3-4b-uzbek-v2-awq")
+model = AutoModelForCausalLM.from_pretrained(
+    "inspirebek/qwen3-4b-uzbek-v2-awq",
+    device_map="auto",
+)
+```
+
+with vllm:
+
+```bash
+vllm serve inspirebek/qwen3-4b-uzbek-v2-awq --quantization awq --dtype float16
+```
+
+## quantization
+
+- method: awq (`autoawq` 0.2.9, gemm version)
+- `w_bit=4, q_group_size=128, zero_point=True`
+- calibration: 128 uzbek samples (2048 tokens each) from `fluency.jsonl`
+
+## datasets
+
+**stage a — fluency (continued pretraining):**
+
+- [`yakhyo/uz-wiki`](https://huggingface.co/datasets/yakhyo/uz-wiki) · MIT
+- [`tahrirchi/uz-books-v2`](https://huggingface.co/datasets/tahrirchi/uz-books-v2) · MIT
+- [`tahrirchi/uz-crawl`](https://huggingface.co/datasets/tahrirchi/uz-crawl) · Apache-2.0
+
+**stage b — instruct (sft):**
+
+- [`saillab/alpaca_uzbek_taco`](https://huggingface.co/datasets/saillab/alpaca_uzbek_taco) · CC-BY-NC-4.0
+- [`behbudiy/alpaca-cleaned-uz`](https://huggingface.co/datasets/behbudiy/alpaca-cleaned-uz) · CC-BY-4.0
+- [`UAzimov/uzbek-instruct-llm`](https://huggingface.co/datasets/UAzimov/uzbek-instruct-llm) · Apache-2.0
+- [`CohereLabs/aya_collection_language_split`](https://huggingface.co/datasets/CohereLabs/aya_collection_language_split) · Apache-2.0
+- [`med-alex/qa_mt_ru_to_uzn`](https://huggingface.co/datasets/med-alex/qa_mt_ru_to_uzn) · unspecified
+- [`med-alex/qa_mt_tr_to_uzn`](https://huggingface.co/datasets/med-alex/qa_mt_tr_to_uzn) · unspecified
+
+> ⚠️ licensing note: `saillab/alpaca_uzbek_taco` is cc-by-nc-4.0, which restricts commercial use of derivative models. downstream users who need a fully permissive license should retrain without that subset.
+
+## sibling formats
+
+- [`inspirebek/qwen3-4b-uzbek-v2`](https://huggingface.co/inspirebek/qwen3-4b-uzbek-v2)
+- [`inspirebek/qwen3-4b-uzbek-v2-lora`](https://huggingface.co/inspirebek/qwen3-4b-uzbek-v2-lora)
+- [`inspirebek/qwen3-4b-uzbek-v2-bnb-4bit`](https://huggingface.co/inspirebek/qwen3-4b-uzbek-v2-bnb-4bit)
+- [`inspirebek/qwen3-4b-uzbek-v2-awq`](https://huggingface.co/inspirebek/qwen3-4b-uzbek-v2-awq)
+- [`inspirebek/qwen3-4b-uzbek-v2-GGUF`](https://huggingface.co/inspirebek/qwen3-4b-uzbek-v2-GGUF)