unsloth / text-generation updated 1 year ago

Qwen3-14B-unsloth-bnb-4bit

See our collection for all versions of Qwen3 including GGUF, 4-bit & 16-bit formats. Learn to run Qwen3 correctly - Read our Guide. Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants. ✨ Run & Fine-tune Qwen3 with Unsloth!

Params
15.2 B
Context
40,960
Downloads 30d
187 K
Likes
17
Commercial use: allowed apache-2.0 Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days
216 K184 K
Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
model.safetensors u8 11.1 GB 15.0 GB ✅ Runs comfortably
model.safetensors (bf16, full) bf16 + 40K ctx 11.1 GB 24.1 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 · api/v1
$ curl -s https://aimodelscomparison.com/api/v1/models/qwen3-14b-unsloth-bnb-4bit
{
  "hf_id": "unsloth/Qwen3-14B-unsloth-bnb-4bit",
  "params_b": 15.16,
  "context_length": 40960,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 187150,
  "vram_estimates": [
    { "quant": "u8", "gb": 15.0 }
  ],
  "updated_at": "2026-07-28T18:07:48Z"
}
est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture
Qwen3ForCausalLM
Parameters
15.2 B
Tensor type
U8
Context length
40,960
Vocabulary
151,936
Layers / heads
40 / 40
Licence
apache-2.0
First seen on the Hub
2025-04-28
Base model
Qwen3-14B
Training datasets
undisclosed
Added to our catalog
2026-07-28

Family

Base model and the most-downloaded derivatives in the catalog.