Qwen2.5-Coder-7B-Instruct-4bit
The Model mlx-community/Qwen2.5-Coder-7B-Instruct-4bit was converted to MLX format from Qwen/Qwen2.5-Coder-7B-Instruct using mlx-lm version 0.18.1.
Params
1.2 B
Context
32,768
Downloads 30d
258 K
Likes
26
Download history
daily snapshots · 24 days259 K177 K
Aug 28Sep 5Sep 13Sep 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 | u32 | 4.3 GB | 5.4 GB | ✅ Runs comfortably |
| model.safetensors (bf16, full) | bf16 + 32K ctx | 4.3 GB | 5.9 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-7b-instruct-4bit
{
"hf_id": "mlx-community/Qwen2.5-Coder-7B-Instruct-4bit",
"params_b": 1.19,
"context_length": 32768,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 258432,
"vram_estimates": [
{ "quant": "u32", "gb": 5.4 }
],
"updated_at": "2026-08-28T01:00:29Z"
}
Specifications
- Architecture
- Qwen2ForCausalLM
- Parameters
- 1.2 B
- Tensor type
- U32
- Context length
- 32,768
- Vocabulary
- 152,064
- Layers / heads
- 28 / 28
- Licence
- apache-2.0
- First seen on the Hub
- 2024-09-18
- Base model
- Qwen2.5-Coder-7B
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-28
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-generation model