
Qwen2.5-14B-Instruct
14B instruction-tuned Qwen with 128K context and strong tool calling.
About
Qwen2.5-14B-Instruct is the instruction-tuned 14-billion-parameter model in Alibaba's Qwen2.5 family, released on September 19, 2024. The Qwen2.5 generation scaled pretraining to 18 trillion tokens and added a three-stage post-training recipe with SFT, offline DPO, and online GRPO reinforcement learning.
The 14B size became a popular sweet spot for self-hosted agents and RAG systems: large enough for reliable tool calling and long-context reasoning, small enough to run on a single high-end GPU when quantized. It ships under Apache 2.0 with open weights, a 128K-token context window, and native Hermes-style function calling.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 130; Trending score 84/100 from researcher assessment.