Qwen2.5-Coder-7B-Instruct
We have a Qwen 2.5 (all model sizes) free Google Colab Tesla T4 notebook. Also a Qwen 2.5 conversational style notebook.
Params
7.6 B
Context
32,768
Downloads 30d
206 K
Likes
11
Download history
tracking started — chart appears after 7 days of snapshots (4 recorded)206 K downloads in the last 30 days
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 | 15.2 GB | 18.4 GB | ✅ Runs comfortably |
| model.safetensors (bf16, full) | bf16 + 32K ctx | 15.2 GB | 21.8 GB | ⚠️ Tight — reduce context |
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-7b-instruct-unsloth
{
"hf_id": "unsloth/Qwen2.5-Coder-7B-Instruct",
"params_b": 7.62,
"context_length": 32768,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 205751,
"vram_estimates": [
{ "quant": "bf16", "gb": 18.4 }
],
"updated_at": "2026-09-19T01:00:26Z"
}
Specifications
- Architecture
- Qwen2ForCausalLM
- Parameters
- 7.6 B
- Tensor type
- BF16
- Context length
- 32,768
- Vocabulary
- 152,064
- Layers / heads
- 28 / 28
- Licence
- apache-2.0
- First seen on the Hub
- 2024-09-23
- Base model
- Qwen2.5-Coder-7B-Instruct
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-19
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-generation model