---
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: gguf
pipeline_tag: text-generation
base_model: inspirebek/qwen3-4b-uzbek-v2
tags:
- uzbek
- qwen3
- quantized
- gguf
- llama.cpp
- ollama
---

# qwen3-4b-uzbek-v2-gguf

gguf suite for [`inspirebek/qwen3-4b-uzbek-v2`](https://huggingface.co/inspirebek/qwen3-4b-uzbek-v2). cpu / apple silicon / vulkan / rocm via `llama.cpp`, ollama, lm studio, etc.

## files

| quant | size | notes |
|---|---|---|
| `f16` | 8.8 gb | reference fp16 |
| `Q8_0` | 4.7 gb | near-lossless |
| `Q6_K` | 3.6 gb | recommended for quality |
| `Q5_K_M` | 3.2 gb | balanced |
| `Q5_K_S` | 3.1 gb | slightly lighter |
| `Q4_K_M` | 2.7 gb | **recommended for most users** |
| `Q4_K_S` | 2.6 gb | smaller, slight quality loss |
| `Q3_K_M` | 2.2 gb | aggressive |
| `Q2_K` | 1.8 gb | edge / low-ram only |

## usage

**llama.cpp:**

```bash
llama-cli -m qwen3-4b-uzbek-v2-q4_k_m.gguf -p "Salom! Qalaysan?" -cnv
```

**ollama:**

```bash
ollama run hf.co/inspirebek/qwen3-4b-uzbek-v2-GGUF:Q4_K_M
```

## quantization

converted from the bf16 merged model via `llama.cpp`'s `convert_hf_to_gguf.py` → `llama-quantize`. no calibration data (k-quants are statistics-only).

## 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)