Qwen1.5-1.8B-Chat
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
Params
1.8 B
Context
32,768
Downloads 30d
185 K
Likes
84
Download history
daily snapshots · 11 days185 K165 K
Oct 15Oct 18Oct 22Oct 25
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 | 3.7 GB | 4.8 GB | ✅ Runs comfortably |
| model.safetensors (bf16, full) | bf16 + 32K ctx | 3.7 GB | 5.6 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/qwen1-5-1-8b-chat
{
"hf_id": "Qwen/Qwen1.5-1.8B-Chat",
"params_b": 1.84,
"context_length": 32768,
"license": { "id": "other", "commercial": "unknown" },
"downloads_30d": 184874,
"vram_estimates": [
{ "quant": "bf16", "gb": 4.8 }
],
"updated_at": "2026-10-15T01:00:30Z"
}
Specifications
- Architecture
- Qwen2ForCausalLM
- Parameters
- 1.8 B
- Tensor type
- BF16
- Context length
- 32,768
- Vocabulary
- 151,936
- Layers / heads
- 24 / 16
- Licence
- other
- First seen on the Hub
- 2024-01-30
- Training datasets
- undisclosed
- Added to our catalog
- 2026-10-15
Compare with any text-generation model