Alibaba
Qwen 2.5 14B
現行
2.1Mダウンロード342いいねSep 2024公開日131K トークンコンテキストApache 2.0ライセンス73 優秀品質
Qwen 2.5 14B (14B parameters) requires approximately 13.3 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 16 GB of VRAM.
はじめに
— コピー&ペーストでローカル実行Copy-paste commands to run Qwen 2.5 14B on your machine.
Run
ollama run qwen2.5Quick specs
Parameters14B
Architecturedense
Context131K tokens
Modalitytext
Min RAM5.5 GB
Rec. RAM8.5 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
✓ Chat✓ Reasoning
About this model
- •Significantly more knowledge and has greatly improved capabilities in coding and mathematics, thanks to our specialized expert models...
- •Significant improvements in instruction following, generating long texts (over 8K tokens), understanding structured data (e.g,...
- •Long-context Support: up to 128K tokens and can generate up to 8K tokens
- •Multilingual support: for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean,...
関連モデル
おすすめ
最適なハードウェア
Qwen 2.5 14Bのおすすめ
このモデルを実行
量子化オプション
量子化レベル別VRAM推定値
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | — |
Q3_K_S | 3 | 6.9 GB | Low | — |
NVFP4 | 4 | 7.8 GB | Medium | — |
Q4_K_M | 4 | 8.5 GB | Medium | — |
Q5_K_M | 5 | 10.1 GB | High | — |
Q6_K | 6 | 11.5 GB | High | — |
Q8_0 | 8 | 15.0 GB | Very High | — |
F16 | 16 | 28.7 GB | Maximum | — |
Quality benchmarks
Qwen 2.5 14B benchmark scores
Coding
SWE-bench Verified—
HumanEval+83.5%
Aider Polyglot—
LiveCodeBench42.6%
Reasoning
MMLU-Pro63.7%
GPQA Diamond45.5%
MATH-50080.0%
ARC Challenge—
General
Chatbot Arena—
IFEval81.0%
Source: official · 2024-09-19
ハードウェア互換性
全ハードウェアの適合度推定
Computing compatibility...
メモリ内訳
Reference: RTX 2060 6GB
Weights8.5 GB
KV Cache2.9 GB
Runtime1.2 GB
Headroom0.6 GB
よくある質問
FAQ — Qwen 2.5 14B
関連項目