LocalClaw/LLM/DBRX (132B MoE)
Open-weight local LLM

DBRX (132B MoE)

Catalogue summary: Databricks open MoE LLM. 132B total with 36B active. Strong general purpose. 111K downloads.

Repository editorial metadata; verify comparative claims in the linked upstream material.

128 GB catalogue minimum128 GB RAMQ6_KGeneral local assistant
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Parameters
132B (36B active)
Minimum RAM
128 GB
Model size
108 GB
Quantization
Q6_K

Can DBRX (132B MoE) run locally?

DBRX (132B MoE) has a catalogue minimum of 128 GB RAM with Q6_K. Actual memory use and speed vary by context length, runtime, backend and system headroom.

Treat dbrx-instruct as a server-grade catalogue target. Use the verified artefact with a compatible multi-GPU or distributed runtime and follow its upstream instructions; this is not a one-click desktop LM Studio recommendation.

Public GGUF repository (verified 2026-09-07): dranger003/dbrx-instruct-iMat.GGUF
chatgeneralquality

Deployment path

01
Check RAM fitServer-grade target. Plan for 128 GB class multi-GPU memory.
02
Load the modelUse dbrx-instruct only with a compatible server-grade or distributed runtime; confirm the exact artefact and upstream instructions first.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Catalogue record

  • Family: dbrx
  • Parameters: 132B (36B active)
  • Recommended quantization: Q6_K
  • Catalogue minimum RAM: 128 GB
  • Catalogue model size: 108 GB
  • Tags: chat, general, quality

Practical limits

  • Catalogue RAM is a minimum estimate, not a guarantee for every context length or runtime.
  • Speed and memory use vary by quantization, backend, context length and system headroom.
  • Verify architecture, licence and usage restrictions in the linked upstream material before deployment.

Catalogue tags

  • chat
  • general
  • quality

Capability profile

Repository catalogue ratings used by LocalClaw's editorial rubric. They are not a standardized third-party benchmark.

speed
2
quality
9
coding
8
reasoning
8

Technical notes

Developer
See upstream repository
License
See upstream repository
Context window
See upstream repository
Architecture
See upstream repository

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.

Large unified memoryMac Studio M4 Max 128GB128GB AI PC classNVIDIA GB10 / DGX SparkHigh-memory picks128GB RAM guide

Related catalogue entries

Linked mechanically by family, shared tags and nearby RAM tier; this is not a quality ranking.

Command A (111B) 111BGLM 4.5 Air (MoE) 106B (12B active, MoE)WizardLM 2 (8x22B) 8x22B (141B total)DeepSeek V4 Flash Vision Exp 284B (13B active, multimodal MoE)Hy3 295B (21B active)Command R+ (104B) 104BMiniMax M2.1 230B (10B active, MoE)Qwen 2.5 (72B) 72B

Where to go next