LOADING DATASHEET
GROUNDED IN REAL HUMAN CONVERSATIONSYOUR BENCH
Qwen2.5 14B Instruct
◆ OPEN
by Alibaba
OPEN WEIGHTSLOCALAPI
RANKED #253 OF 333 ASSISTANTS · OVERALL #398 OF 7,131 · VIBE SCORE 5.4 · 25 VOICES
Qwen instruction model for multilingual chat, reasoning, and tool use
HAPPY9.7
4 mentions
SAD5.3
2 mentions
VIBE TRAJECTORY
26 weeks · 28 voices
HOLDING UP
Recent vibe is steady. No clear fade in the crowd.
HOW TO USE IT
Open weights. You can use a hosted service, or download it and run it yourself, free.
RUN IT ON YOUR OWN MACHINE
Open weights: download Qwen2.5 14B Instruct once and it's yours. No subscription, no rate limits, works offline.
14.7B parameters, a Q4_K_M GGUF file is about 9 GB, requiring roughly 11 GB VRAM
- BARE MINIMUM
NVIDIA GeForce RTX 3060 12GB
12 GB VRAM
~$260 USEDQ4_K_M quant, ~25 tok/s, 8k context fully offloaded to GPU
- SWEET SPOT
NVIDIA GeForce RTX 4070 Ti Super 16GB
16 GB VRAM
~$750 USEDQ5_K_M or Q8_0 quant, ~45 tok/s, up to 32k context comfortably
- FULL POWER
NVIDIA GeForce RTX 4090 24GB
24 GB VRAM
~$1,650 USEDFP16 or Q8_0 quant, ~70 tok/s, full high-context window offload
LEARN HOW TO SET IT UP
WILL MY BOX RUN QWEN2.5 14B INSTRUCT?
The three cards above are researched picks. Search the machine you actually have — we only say yes if it should reply at a usable speed, not just load the weights and crawl.
HARDWARE PICKS & PRICES ARE RESEARCHED FROM THE LIVE WEB AND REFRESHED AUTOMATICALLY. TREAT THEM AS BALLPARK, NOT GOSPEL.
WHAT CAN YOU ACTUALLY DO WITH IT?
Everyday jobs on each of those rigs: how long Qwen2.5 14B Instruct takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMNVIDIA GeForce RTX 3060 12GB | SWEET SPOTNVIDIA GeForce RTX 4070 Ti Super 16GB | FULL POWERNVIDIA GeForce RTX 4090 24GB |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~20 S★★★★★ | ~11 S★★★★★ | ~7 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~60 S★★★★★ | ~33 S★★★★★ | ~21 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~5.3 MIN★★★★★ | ~3 MIN★★★★★ | ~1.9 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~17 MIN★★★★★ | ~9.3 MIN★★★★★ | ~6 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~10 MIN★★★★★ | ~5.6 MIN★★★★★ | ~3.6 MIN★★★★★ |
STARS ARE THE COMMUNITY SCORE FOR THAT KIND OF WORK, DOCKED FOR HOW SQUASHED THE WEIGHTS GET AT EACH TIER. TIMES ARE COMPUTED FROM RESEARCHED SPEEDS. BALLPARK, NOT GOSPEL.
WHAT THE INTERNET SAYS
Not enough discussion about Qwen2.5 14B Instruct yet to call it. We found 25 posts but people did not say much either way.
24 POSTS · 1 COMMENTS · REDDIT · GITHUB
PEOPLE LOVE
- No fan mail yet. The crowd is still warming up.
PEOPLE COMPLAIN ABOUT
- No complaints yet. The internet is still looking for one. Suspicious.
LOOKING FOR AN ALTERNATIVE?
Other models the crowd has fully reviewed, starting with text models like this one.
> SOURCES (12)
- REDDIT · 2025-02-28 · 289 UPVOTESTested local LLMs on a maxed out M4 Macbook Pro so you don't have to
Tested local LLMs on a maxed out M4 Macbook Pro so you don't have to
- REDDIT · 2025-09-19 · 21 UPVOTESI am happy, Finally my Character full-finetune on Qwen2.5-14B-instruct is satisfactory to me
I am happy, Finally my Character full-finetune on Qwen2.5-14B-instruct is satisfactory to me
- REDDIT · 2026-05-04 · 19 UPVOTESTypeGraph - GraphRAG on Next.js and Postgres. #2 on GraphRAG benchmark. It's fast, easy to deploy and open source.
TypeGraph - GraphRAG on Next.js and Postgres. #2 on GraphRAG benchmark. It's fast, easy to deploy and open source.
- REDDIT · 2026-03-18 · 9 UPVOTES[Field Report] AWQ on RTX 5060 Ti (SM_120 / Blackwell) — awq_marlin + TRITON_ATTN working
[Field Report] AWQ on RTX 5060 Ti (SM_120 / Blackwell) — awq_marlin + TRITON_ATTN working
- REDDIT · 2025-08-17 · 6 UPVOTESComment in r/ollama
Comment in r/ollama
- REDDIT · 2025-06-15 · 5 UPVOTESMiniPC Ryzen 7 6800H CPU and iGPU 680M
MiniPC Ryzen 7 6800H CPU and iGPU 680M
- REDDIT · 2025-08-30 · 4 UPVOTESHow do you increase accuracy in CV ↔ Job matching with embeddings?
How do you increase accuracy in CV ↔ Job matching with embeddings?
- REDDIT · 2026-08-13 · 3 UPVOTESLocal LLM open-source model options (5060TI 16GB)
Local LLM open-source model options (5060TI 16GB)
- GITHUB · 2026-08-24 · 1 UPVOTESUse Ollama for retrieval agent defaults
Use Ollama for retrieval agent defaults
- REDDIT · 2025-02-28 · 0 UPVOTESTested local LLMS on the Macbook Pro M4 Max so you don't have to
Tested local LLMS on the Macbook Pro M4 Max so you don't have to
- GITHUB · 2026-09-17 · 0 UPVOTESEngineer: build and deploy the Modal app (Gradio + vLLM + passcode gate)
Engineer: build and deploy the Modal app (Gradio + vLLM + passcode gate)
- GITHUB · 2026-08-14 · 0 UPVOTESfeat(llm): local Ollama provider for development and the milestone gate
feat(llm): local Ollama provider for development and the milestone gate