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Qwen 2.5 (14B)

Strong 14B from Alibaba. 18T tokens training. Excellent for multilingual tasks and coding.

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Parameters
14B
Minimum RAM
12 GB
Model size
8.5 GB
Quantization
Q4_K_M

Can Qwen 2.5 (14B) run locally?

Qwen 2.5 (14B) is best suited for mainstream Macs and PCs with 16 GB RAM. LocalClaw recommends Q4_K_M as the default quantization, with at least 12 GB RAM.

Search term for LM Studio or compatible runtimes: qwen2.5-14b-instruct

Hugging Face repository: lmstudio-community/Qwen2.5-14B-Instruct-GGUF

chatcodepowergeneral

Strengths

  • Strong balance speed/quality
  • 128K context
  • Great multilingual and coding

Limitations

  • Superseded by Qwen 3 14B
  • Needs 12GB+ RAM

Best use cases

  • Professional coding
  • Multilingual content
  • Analysis
  • Enterprise chatbot

Benchmarks

Speed: 6/10

Quality: 8/10

Coding: 8/10

Reasoning: 8/10

Technical details

Developer: Alibaba Cloud (Qwen Team)

License: Apache 2.0

Context window: 131,072 tokens

Architecture: Transformer decoder-only

Released: 2024-09

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