LocalClaw/LLM/DeepScaleR (1.5B)
Open-weight local LLM

DeepScaleR (1.5B)

Tiny model beating o1-preview on math! Incredible reasoning-to-size ratio. 474K downloads.

Laptop ready 4 GB RAM Q5_K_M Reasoning
Run with LocalClaw Compare all models
Parameters
1.5B
Minimum RAM
4 GB
Model size
1 GB
Quantization
Q5_K_M

Can DeepScaleR (1.5B) run locally?

DeepScaleR (1.5B) is a good fit for normal laptops and compact desktops with 8 GB RAM or more.

Search for deepscaler-1.5b in LM Studio or another GGUF-compatible runtime.

agentica-org/DeepScaleR-1.5B-Preview-GGUF
reasoninglightspeed

Install path

01
Check RAM fitMinimum 4 GB RAM. Start with the Q5_K_M quant.
02
Load the modelSearch deepscaler-1.5b in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Tiny model beating o1-preview on math! Incredible reasoning-to-size ratio. 474K downloads.

Limitations

  • Performance depends on quantization, RAM bandwidth and runtime support.

Best use cases

  • reasoning
  • light
  • speed

Capability profile

speed
10
quality
5
coding
4
reasoning
8

Technical notes

Developer
deepscaler
License
See model repository
Context window
Unknown tokens
Architecture
See model card

This model fits these next steps

Hardware fit is based on LocalClaw's RAM tier, model size and quantization metadata. Always leave memory headroom for your OS and runtime.

Entry laptop fitMacBook Air 8GBMore headroomMac mini M4 16GBAll compatible picks8GB RAM guide

Where to go next