Qwen3-14B-GGUF
Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support, with the following key features:
Params
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Context
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Downloads 30d
219 K
Likes
132
Download history
daily snapshots · 8 days219 K198 K
Sep 14Sep 16Sep 19Sep 21
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| Qwen3-14B-Q4_K_M.gguf | Q4_K_M | 9.0 GB | 10.4 GB | ✅ Runs comfortably |
| Qwen3-14B-Q5_0.gguf | Q5_0 | 10.3 GB | 11.8 GB | ✅ Runs comfortably |
| Qwen3-14B-Q5_K_M.gguf | Q5_K_M | 10.5 GB | 12.1 GB | ✅ Runs comfortably |
| Qwen3-14B-Q6_K.gguf | Q6_K | 12.1 GB | 13.8 GB | ✅ Runs comfortably |
| Qwen3-14B-Q8_0.gguf | Q8_0 | 15.7 GB | 17.8 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Run it
copy-paste, exact tags checked against the Hub$ ollama run qwen3-14b-gguf-qwen # pin the quantization explicitly $ ollama run qwen3-14b-gguf-qwen-q4_k_m
$ huggingface-cli download Qwen/Qwen3-14B-GGUF-GGUF \
Qwen3-14B-Q4_K_M.gguf --local-dir .
$ llama-cli -m Qwen3-14B-Q4_K_M.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/qwen3-14b-gguf-qwen
{
"hf_id": "Qwen/Qwen3-14B-GGUF",
"params_b": null,
"context_length": null,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 218873,
"vram_estimates": [
{ "quant": "Q4_K_M", "gb": 10.4 },
{ "quant": "Q5_0", "gb": 11.8 }
],
"updated_at": "2026-09-14T01:00:34Z"
}
Specifications
- Licence
- apache-2.0
- First seen on the Hub
- 2025-05-01
- Base model
- Qwen3-14B
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-14
Compare with any text-generation model