Qwen3-14B-unsloth-bnb-4bit
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Params
15.2 B
Context
40,960
Downloads 30d
187 K
Likes
17
Download history
daily snapshots · 10 days216 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.
| File | Quant | Size | Est. VRAM | Verdict 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 -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"
}
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
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