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Open weightsQwen (Alibaba Cloud)/10 trustVerified
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Qwen2.5-14B-Instruct

14B instruction-tuned Qwen with 128K context and strong tool calling.

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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

Open weights

Released

September 19, 2024

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

chatagentsragtool-calling

Trust score — 8/10

/10 trustVerified

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.

More in the qwen2 family

Sources