Qwen_Qwen3-0.6B-GGUF
Filename Quant type File Size Split Description -------- ---------- --------- ----- ----------- Qwen3-0.6B-bf16.gguf bf16 1.51GB false Full BF16 weights. Qwen3-0.6B-Q80.gguf Q80 0.80GB false Extremely high quality, generally unneeded but max available quant. Qwen3-0.6B-Q6KL.gguf Q6KL 0.70GB false Uses Q80 for embed and output weights. Very high quality, near perfect, recommended. Qwen3-0.6B-Q5KL.gguf Q5KL 0.65GB fals...
Params
600 M
Context
40,960
Downloads 30d
185 K
Likes
28
Download history
daily snapshots · 8 days185 K138 K
Nov 3Nov 5Nov 8Nov 10
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 |
|---|---|---|---|---|
| Qwen_Qwen3-0.6B-IQ2_M.gguf | IQ2_M | 0.3 GB | 1.0 GB | ✅ Runs comfortably |
| Qwen_Qwen3-0.6B-IQ3_M.gguf | IQ3_M | 0.4 GB | 1.0 GB | ✅ Runs comfortably |
| Qwen_Qwen3-0.6B-IQ3_XS.gguf | IQ3_XS | 0.4 GB | 1.0 GB | ✅ Runs comfortably |
| Qwen_Qwen3-0.6B-IQ3_XXS.gguf | IQ3_XXS | 0.3 GB | 1.0 GB | ✅ Runs comfortably |
| Qwen_Qwen3-0.6B-Q2_K.gguf | Q2_K | 0.3 GB | 1.0 GB | ✅ Runs comfortably |
| Qwen_Qwen3-0.6B-IQ4_NL.gguf | IQ4_NL | 0.5 GB | 1.1 GB | ✅ Runs comfortably |
| Qwen_Qwen3-0.6B-IQ4_XS.gguf | IQ4_XS | 0.5 GB | 1.1 GB | ✅ Runs comfortably |
| Qwen_Qwen3-0.6B-Q2_K_L.gguf | Q2_K_L | 0.5 GB | 1.1 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 qwen-qwen3-0-6b-gguf # pin the quantization explicitly $ ollama run qwen-qwen3-0-6b-gguf-iq2_m
$ huggingface-cli download bartowski/Qwen_Qwen3-0.6B-GGUF-GGUF \
Qwen_Qwen3-0.6B-IQ2_M.gguf --local-dir .
$ llama-cli -m Qwen_Qwen3-0.6B-IQ2_M.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/qwen-qwen3-0-6b-gguf
{
"hf_id": "bartowski/Qwen_Qwen3-0.6B-GGUF",
"params_b": 0.60,
"context_length": 40960,
"license": { "id": "", "commercial": "unknown" },
"downloads_30d": 184550,
"vram_estimates": [
{ "quant": "IQ2_M", "gb": 1.0 },
{ "quant": "IQ3_M", "gb": 1.0 }
],
"updated_at": "2026-11-03T01:00:19Z"
}
Specifications
- Parameters
- 600 M
- Context length
- 40,960
- First seen on the Hub
- 2025-04-28
- Base model
- Qwen3-0.6B
- Training datasets
- undisclosed
- Added to our catalog
- 2026-11-03
Compare with any text-generation model