Qwen3-14B-Base
Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Building upon extensive advancements in training data, model architecture, and optimization techniques, Qwen3 delivers the following key improvements over the previously released Qwen2.5:
Params
14.8 B
Context
32,768
Downloads 30d
224 K
Likes
59
Download history
daily snapshots · 89 days
▲ 0 in the last 30 days (0.0%)
224 K224 K
Oct 12Oct 22Nov 1Nov 10
682 K173 K
Aug 14Sep 12Oct 12Nov 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 |
|---|---|---|---|---|
| model.safetensors | bf16 | 29.5 GB | 35.2 GB | ❌ Won’t fit |
| model.safetensors (bf16, full) | bf16 + 32K ctx | 29.5 GB | 41.9 GB | ❌ Won’t fit |
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$ curl -s https://aimodelscomparison.com/api/v1/models/qwen3-14b-base
{
"hf_id": "Qwen/Qwen3-14B-Base",
"params_b": 14.77,
"context_length": 32768,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 223520,
"vram_estimates": [
{ "quant": "bf16", "gb": 35.2 }
],
"updated_at": "2026-08-14T01:00:56Z"
}
Specifications
- Architecture
- Qwen3ForCausalLM
- Parameters
- 14.8 B
- Tensor type
- BF16
- Context length
- 32,768
- Vocabulary
- 151,936
- Layers / heads
- 40 / 40
- Licence
- apache-2.0
- First seen on the Hub
- 2025-04-28
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-14
Compare with any text-generation model