qwen3-4b-base-dapo-v4
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
4.0 B
Context
32,768
Downloads 30d
515 K
Likes
7
Download history
daily snapshots · 12 days936 K515 K
Sep 10Sep 14Sep 18Sep 21
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 | 8.0 GB | 10.0 GB | ✅ Runs comfortably |
| model.safetensors (bf16, full) | bf16 + 32K ctx | 8.0 GB | 11.8 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$ curl -s https://aimodelscomparison.com/api/v1/models/qwen3-4b-base-dapo-v4
{
"hf_id": "ReliquaryForge/qwen3-4b-base-dapo-v4",
"params_b": 4.02,
"context_length": 32768,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 514988,
"vram_estimates": [
{ "quant": "bf16", "gb": 10.0 }
],
"updated_at": "2026-09-21T01:00:10Z"
}
Specifications
- Architecture
- Qwen3ForCausalLM
- Parameters
- 4.0 B
- Tensor type
- BF16
- Context length
- 32,768
- Vocabulary
- 151,936
- Layers / heads
- 36 / 32
- Licence
- apache-2.0
- First seen on the Hub
- 2026-08-18
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-10
Compare with any text-generation model