Qwen3-8B
Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support, with the following key features:
Params
8.2 B
Context
40,960
Downloads 30d
183 K
Likes
16
Download history
daily snapshots · 7 days213 K183 K
Jul 31Aug 2Aug 4Aug 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 | bf16 | 16.4 GB | 19.7 GB | ⚠️ Tight — reduce context |
| model.safetensors (bf16, full) | bf16 + 40K ctx | 16.4 GB | 24.7 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/qwen3-8b-unsloth
{
"hf_id": "unsloth/Qwen3-8B",
"params_b": 8.19,
"context_length": 40960,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 183464,
"vram_estimates": [
{ "quant": "bf16", "gb": 19.7 }
],
"updated_at": "2026-07-31T01:00:25Z"
}
Specifications
- Architecture
- Qwen3ForCausalLM
- Parameters
- 8.2 B
- Tensor type
- BF16
- Context length
- 40,960
- Vocabulary
- 151,936
- Layers / heads
- 36 / 32
- Licence
- apache-2.0
- First seen on the Hub
- 2025-04-28
- Base model
- Qwen3-8B
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-31
Compare with
Sponsored · GPU cloud
Not enough VRAM?
Spin up a 24 GB L4 instance in 40 seconds. $0.44/hr.