A neighbor's guide

Run DeepSeek R1 locally

DeepSeek · 671B (MoE, ~37B active) + distilled variantsContext: 128KReleased 2025

DeepSeek R1 is the model that made a lot of people take local reasoning seriously. The full 671B mixture-of-experts version is out of reach for most home setups, but the distilled variants (R1-Distill-Llama-70B, R1-Distill-Qwen-32B, smaller variants too) are completely runnable on everyday hardware — especially with the hive behind you.

One command to run it
$ hivebear run deepseek-r1-distill-llama-70b

HiveBear 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

Most people running 'DeepSeek R1 locally' are actually running the 7B, 14B, or 32B distilled versions. Those are great and will fit on reasonable hardware.

Memory
R1-Distill-Qwen-7B: ~5 GB · R1-Distill-Llama-70B: ~40 GB · Full R1 671B: forget it
GPU
Depends on variant. 7B fits on almost anything, 70B wants 2× 3090 or M-series unified memory

Don't chase the full 671B model unless you have a small data center. The distills are the practical path.

Hardware: running it on the hive

Example pool

Three laptops with 16 GB each can comfortably run R1-Distill-Llama-70B pooled. That's the HiveBear sweet spot.

The hive's profiler detects which R1 variant fits your pool and suggests the best option. Don't try to force the full 671B MoE — it's not a good fit for consumer hardware even pooled.

Things to know

Real gotchas from the hive. No sales pitch.

  • →R1 models 'think out loud' with long chain-of-thought before the final answer. First tokens feel slow; final quality is worth the wait.
  • →Streaming UIs that don't render the reasoning block can make responses look stuck. HiveBear's default UI shows the reasoning in a collapsible panel.
  • →Temperature sensitivity is real — R1 distills are tuned for low temperature (0.3-0.6 range). Higher values get weird quickly.

What DeepSeek R1 is great at

Math, reasoning, step-by-step problems, code. R1 punches above its weight for anything that benefits from thinking before answering.

If this isn't the one, try these instead

  • →Llama 3 70B — stronger general chat, less 'thinking out loud' overhead.
  • →Qwen 2.5 72B — similar size, also strong at reasoning and multilingual.

Give it a run on your hive

Free, open-source, no sign-up. The hive helps when your machine can't carry it alone.

Download HiveBearAsk in DiscordHugging Face card

More models the hive is running

Llama · 70B
Llama 3 70B
Llama · 8B
Llama 3 8B
Qwen · 72B
Qwen 2.5 72B
Mistral · 7B
Mistral 7B
See all models
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