Qwen2.5-14B-Instruct-1M
Qwen2.5-1M is the long-context version of the Qwen2.5 series models, supporting a context length of up to 1M tokens. Compared to the Qwen2.5 128K version, Qwen2.5-1M demonstrates significantly improved performance in handling long-context tasks while maintaining its capability in short tasks.
Params
14.8 B
Context
1,010,000
Downloads 30d
154 K
Likes
349
Download history
tracking started — chart appears after 7 days of snapshots (5 recorded)154 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 | 29.5 GB | 35.2 GB | ❌ Won’t fit |
| model.safetensors (bf16, full) | bf16 + 986K ctx | 29.5 GB | 306.1 GB | ❌ Won’t fit |
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/qwen2-5-14b-instruct-1m
{
"hf_id": "Qwen/Qwen2.5-14B-Instruct-1M",
"params_b": 14.77,
"context_length": 1010000,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 153668,
"vram_estimates": [
{ "quant": "bf16", "gb": 35.2 }
],
"updated_at": "2026-11-06T01:00:18Z"
}
Specifications
- Architecture
- Qwen2ForCausalLM
- Parameters
- 14.8 B
- Tensor type
- BF16
- Context length
- 1,010,000
- Vocabulary
- 152,064
- Layers / heads
- 48 / 40
- Licence
- apache-2.0
- First seen on the Hub
- 2025-01-23
- Training datasets
- undisclosed
- Added to our catalog
- 2026-11-06
Compare with any text-generation model