Qwen2.5-3B-Instruct-AWQ
Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:
Params
3.4 B
Context
32,768
Downloads 30d
422 K
Likes
17
Download history
daily snapshots · 50 days
▲ 153 K in the last 30 days (26.5%)
650 K386 K
Aug 22Sep 1Sep 11Sep 20
650 K159 K
Aug 2Aug 18Sep 4Sep 20
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 | i32 | 2.7 GB | 4.0 GB | ✅ Runs comfortably |
| model.safetensors (bf16, full) | bf16 + 32K ctx | 2.7 GB | 5.5 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/qwen2-5-3b-instruct-awq
{
"hf_id": "Qwen/Qwen2.5-3B-Instruct-AWQ",
"params_b": 3.40,
"context_length": 32768,
"license": { "id": "other", "commercial": "unknown" },
"downloads_30d": 422333,
"vram_estimates": [
{ "quant": "i32", "gb": 4.0 }
],
"updated_at": "2026-08-02T01:00:33Z"
}
Specifications
- Architecture
- Qwen2ForCausalLM
- Parameters
- 3.4 B
- Tensor type
- I32
- Context length
- 32,768
- Vocabulary
- 151,936
- Layers / heads
- 36 / 16
- Licence
- other
- First seen on the Hub
- 2024-09-17
- Base model
- Qwen2.5-3B-Instruct
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-02
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-generation model