Qwen3-1.7B-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
1.7 B
Context
40,960
Downloads 30d
173 K
Likes
84
Download history
daily snapshots · 8 days173 K162 K
Oct 18Oct 20Oct 23Oct 25
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 |
|---|---|---|---|---|
| Qwen3-1.7B-Q8_0.gguf | Q8_0 | 1.8 GB | 2.8 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 qwen3-1-7b-gguf-qwen # pin the quantization explicitly $ ollama run qwen3-1-7b-gguf-qwen-q8_0
$ huggingface-cli download Qwen/Qwen3-1.7B-GGUF-GGUF \
Qwen3-1.7B-Q8_0.gguf --local-dir .
$ llama-cli -m Qwen3-1.7B-Q8_0.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/qwen3-1-7b-gguf-qwen
{
"hf_id": "Qwen/Qwen3-1.7B-GGUF",
"params_b": 1.70,
"context_length": 40960,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 173234,
"vram_estimates": [
{ "quant": "Q8_0", "gb": 2.8 }
],
"updated_at": "2026-10-18T01:00:16Z"
}
Specifications
- Parameters
- 1.7 B
- Context length
- 40,960
- Licence
- apache-2.0
- First seen on the Hub
- 2025-05-05
- Base model
- Qwen3-1.7B
- Training datasets
- undisclosed
- Added to our catalog
- 2026-10-18
Compare with any text-generation model