Qwen2.5-Coder-3B-Instruct
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). As of now, Qwen2.5-Coder has covered six mainstream model sizes, 0.5, 1.5, 3, 7, 14, 32 billion parameters, to meet the needs of different developers. Qwen2.5-Coder brings the following improvements upon CodeQwen1.5:
Params
3.1 B
Context
32,768
Downloads 30d
599 K
Likes
127
Download history
daily snapshots · 29 days599 K179 K
Aug 23Sep 1Sep 11Sep 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 | bf16 | 6.2 GB | 7.8 GB | ✅ Runs comfortably |
| model.safetensors (bf16, full) | bf16 + 32K ctx | 6.2 GB | 9.1 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-coder-3b-instruct
{
"hf_id": "Qwen/Qwen2.5-Coder-3B-Instruct",
"params_b": 3.09,
"context_length": 32768,
"license": { "id": "other", "commercial": "unknown" },
"downloads_30d": 599149,
"vram_estimates": [
{ "quant": "bf16", "gb": 7.8 }
],
"updated_at": "2026-08-23T01:00:28Z"
}
Specifications
- Architecture
- Qwen2ForCausalLM
- Parameters
- 3.1 B
- Tensor type
- BF16
- Context length
- 32,768
- Vocabulary
- 151,936
- Layers / heads
- 36 / 16
- Licence
- other
- First seen on the Hub
- 2024-11-06
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-23
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