Qwen2.5-Coder-14B-Instruct-AWQ vs DeepSeek-R1-Distill-Qwen-14B
Specs, VRAM requirements and download trends — updated 10 September 2026.
Qwen · A · Open weights
Params
14.8 B
Context
32,768
30d
216 K
apache-2.0 · commercial OK
deepseek-ai · B · Open weights
Params
14.8 B
Context
131,072
30d
190 K
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2.5-Coder-14B-Instruct-AWQ | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| Parameters | 14.8 B | 14.8 B |
| Architecture | Qwen2ForCausalLM | Qwen2ForCausalLM |
| Context length | 32,768 | 131,072 |
| Licence | apache-2.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | 1 | — |
| Downloads 30d | 216,255 | 189,567 |
| Downloads all time | 8.1 M | 9.8 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-11-09 | 2025-01-20 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
1.9 M190 K
Qwen2.5-Coder-14B-Instruct-AWQ
DeepSeek-R1-Distill-Qwen-14B
A overtook B on 28 Oct
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen2.5-Coder-14B-Instruct-AWQ · fp16
13.7 GB / 24 GB
DeepSeek-R1-Distill-Qwen-14B · fp16 @ 128K ctx
68.4 GB / 24 GB
Adjacent comparisons
Qwen3-14B vs Qwen2.5-Coder-14B-Instruct-AWQ
Qwen3-14B vs DeepSeek-R1-Distill-Qwen-14B
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Qwen2.5-Coder-7B-Instruct vs Qwen2.5-Coder-14B-Instruct-AWQ
Qwen3-30B-A3B vs Qwen2.5-Coder-14B-Instruct-AWQ
Qwen2.5-Coder-14B-Instruct-AWQ vs NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4