LocalClaw/LLM/LLM-jp-4 33B Thinking
Open-weight local LLM

LLM-jp-4 33B Thinking

Catalogue summary: Official Apache 2.0 LLM-jp reasoning model with English/Japanese support, 65K GGUF context metadata and an official Q4_K_M GGUF path for local llama.cpp and LM Studio testing on 64GB+ workstations.

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

64 GB catalogue minimum64 GB RAMQ4_K_MCoding assistant
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Parameters
33B
Minimum RAM
64 GB
Model size
19.82 GB
Quantization
Q4_K_M

Can LLM-jp-4 33B Thinking run locally?

LLM-jp-4 33B Thinking has a catalogue minimum of 64 GB RAM with Q4_K_M. Actual memory use and speed vary by context length, runtime, backend and system headroom.

Use llm-jp-4-33b-thinking as the catalogue search term in a compatible runtime, and confirm the available format on the upstream repository before download.

Model sourcePublic GGUF repository (verified 2026-09-07): llm-jp/llm-jp-4-33b-thinking-ggufUpstream releasePaper or model cardLicence text
chatcodereasoninglong-contextmultilingualpower

Install path

01
Check RAM fitMinimum 64 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch llm-jp-4-33b-thinking in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Catalogue record

  • Family: llm-jp
  • Parameters: 33B
  • Recommended quantization: Q4_K_M
  • Catalogue minimum RAM: 64 GB
  • Catalogue model size: 19.82 GB
  • Tags: chat, code, reasoning, long-context, multilingual, power

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
  • code
  • reasoning
  • long-context
  • multilingual
  • power

Capability profile

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

speed
5
quality
8
coding
8
reasoning
9

Technical notes

Developer
LLM-jp
License
Apache 2.0
Context window
65,536 tokens
Architecture
Dense 33B Llama-compatible causal language model from LLM-jp-4 with BF16 safetensors and official GGUF artifacts. The GGUF metadata reports a 65,536-token context window and Llama architecture support.

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

Related catalogue entries

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

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Where to go next