Run Qwen 2.5 72B locally
Qwen 2.5 72B from Alibaba is one of the strongest open-weight models right now, especially for multilingual tasks and code. Size-wise it's in the same ballpark as Llama 3 70B, so the same 'too big for one machine' math applies — and the same hive fix.
$ hivebear run qwen-2-5-72bHiveBear will profile your hardware, pick the right quantization for your pool, and fall back to the hive if your machine can't carry it alone.
Hardware: running it alone
Alone: workstation territory. On the hive: two or three everyday machines together.
Q4_K_M is the usual sweet spot. Qwen 2.5 has solid 4-bit quality — you don't lose much.
Hardware: running it on the hive
A 32 GB gaming PC + a 24 GB Mac mini + a 16 GB laptop = 72 GB pooled, comfortable for Qwen 2.5 72B at Q4.
Same pipeline-parallel approach as Llama 3 70B. The hive profiler handles the split.
Things to know
Real gotchas from the hive. No sales pitch.
- →Qwen's tokenizer handles CJK (Chinese, Japanese, Korean) much better than Llama's — a real advantage if you work in those languages.
- →Some fine-tunes use different chat templates. Check the Hugging Face card if you get weird formatting.
What Qwen 2.5 72B is great at
Multilingual work, code, general chat. One of the best picks if English isn't your primary language.
If this isn't the one, try these instead
- →Llama 3 70B — stronger English-only, weaker multilingual.
- →Qwen 2.5 32B — smaller sibling, fits more easily, still great quality.
- →Mixtral 8x7B — MoE architecture, lighter active compute.
Give it a run on your hive
Free, open-source, no sign-up. The hive helps when your machine can't carry it alone.
