Qwen3-0.6B-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
600 M
Context
40,960
Downloads 30d
223 K
Likes
76
Download history
tracking started — chart appears after 7 days of snapshots (2 recorded)223 K downloads in the last 30 days
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 |
|---|---|---|---|---|
| Qwen3-0.6B-Q8_0.gguf | Q8_0 | 0.6 GB | 1.3 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 qwen3-0-6b-gguf-qwen # pin the quantization explicitly $ ollama run qwen3-0-6b-gguf-qwen-q8_0
$ huggingface-cli download Qwen/Qwen3-0.6B-GGUF-GGUF \
Qwen3-0.6B-Q8_0.gguf --local-dir .
$ llama-cli -m Qwen3-0.6B-Q8_0.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/qwen3-0-6b-gguf-qwen
{
"hf_id": "Qwen/Qwen3-0.6B-GGUF",
"params_b": 0.60,
"context_length": 40960,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 222509,
"vram_estimates": [
{ "quant": "Q8_0", "gb": 1.3 }
],
"updated_at": "2026-09-19T01:00:19Z"
}
Specifications
- Parameters
- 600 M
- Context length
- 40,960
- Licence
- apache-2.0
- First seen on the Hub
- 2025-05-05
- Base model
- Qwen3-0.6B
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-19
Compare with any text-generation model