LocalClaw/LLM/Kimi Linear 48B-A3B Instruct
Open-weight MoE

Kimi Linear 48B-A3B Instruct

Moonshot AI efficient Kimi model with linear-attention style architecture and 3B active parameters. Strong long-context, reasoning and coding signal. MIT licensed.

64 GB workstation 48 GB RAM Q4_K_M Coding assistant
Run with LocalClaw Compare all models
Parameters
48B (3B active, MoE)
Minimum RAM
48 GB
Model size
28 GB
Quantization
Q4_K_M

Can Kimi Linear 48B-A3B Instruct run locally?

Kimi Linear 48B-A3B Instruct is best for 64 GB workstations and larger Apple Silicon or NVIDIA setups.

Search for kimi-linear-48b-a3b-instruct in LM Studio or another GGUF-compatible runtime.

moonshotai/Kimi-Linear-48B-A3B-Instruct
chatcodereasoningpowermoelong-context

Install path

01
Check RAM fitMinimum 48 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch kimi-linear-48b-a3b-instruct in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Moonshot AI efficient Kimi model with linear-attention style architecture and 3B active parameters. Strong long-context, reasoning and coding signal. MIT licensed.

Limitations

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

Best use cases

  • chat
  • code
  • reasoning
  • power
  • moe
  • long-context

Capability profile

speed
6
quality
8
coding
8
reasoning
8

Technical notes

Developer
kimi
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.

Workstation fitMac Studio M4 Max 64GBCUDA workstation classNVIDIA GB10 / DGX SparkLarge local models64GB RAM guide

Where to go next