LocalClaw/LLM/Nanbeige4.3 33B
Open-weight local LLM

Nanbeige4.3 33B

Use case: Coding assistant. Check the memory fit and choose a setup path below.

32 GB short-context planning estimate32 GB RAMQ4_K_MCoding assistant
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OllamaNot available for this model
Open on Hugging FaceFiles, licence and available downloads
llama.cppNot available for this model
Use with LocalClawOptional workspace after the model is installed
This model needs its official runtimellama.cpp b11845 or newer; start with a short context such as 4096 tokens
Parameters
33B (dense)
RAM planning estimate
32 GB
Model size
20.79 GB
Quantization
Q4_K_M

About Nanbeige4.3 33B

Catalogue summary: Apache 2.0 English/Chinese coding and tool-use model from Nanbeige. Bartowski Q4_K_M GGUF is 20.79GB. Plan for 32GB RAM at short context; the 512K model limit needs substantially more memory. Use llama.cpp b11845 or newer.

Nanbeige4.3 33B has a 32 GB short-context RAM planning estimate based on its 20.79 GB GGUF. This is not a measured minimum or a guarantee at maximum context.

Use the official llama.cpp b11845 or newer; start with a short context such as 4096 tokens setup. The current low-bit files are not a stock LM Studio install.

Model sourcePublic GGUF repository (verified 2026-11-06): bartowski/Nanbeige_Nanbeige4.3-33B-GGUFUpstream releaseLicence text
codereasoningtool-callinglong-context

Install path

01
Check RAM fitPlan for 32 GB RAM at short context; this is an estimate. Use Q4_K_M.
02
Load the modelFollow the official llama.cpp b11845 or newer; start with a short context such as 4096 tokens instructions. Stock LM Studio support is not confirmed.
03
Try your workloadStart with a short prompt, check memory use and adjust context length before running longer tasks.

Download formats for this model

These are quantizations of the same model. The RAM fit above uses Q4_K_M; larger files need more memory. File sizes exclude the runtime, context cache and optional vision projector.

Catalogue record

  • Family: nanbeige
  • Parameters: 33B (dense)
  • Recommended quantization: Q4_K_M
  • Short-context RAM estimate: 32 GB
  • Catalogue model size: 20.79 GB
  • Tags: code, reasoning, tool-calling, long-context

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.

Reading the scores

LocalClaw /10 is an editorial catalogue rating. Community /5 comes from member reviews. Your machine fit is a separate memory and runtime assessment.

Capability profile

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

speed
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quality
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coding
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reasoning
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Technical notes

Developer
Nanbeige LLM Lab
License
Apache 2.0
Context window
524,288 tokens
Architecture
Dense Llama-compatible causal decoder, 52 layers, 56 attention heads and 8 key/value heads. 33B parameters.

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.

Comfortable headroomMac mini M4 Pro 48GBMobile workstationMacBook Pro M4 Max 36GBPower-user picks32GB RAM guide

Related catalogue entries

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

Nanbeige4.2 3B 4B (3B non-embedding)Nex-N2.5-mini 35B MoEOccamy-1.0 35B (3B active, MoE)Xing4.0-29B-A4B 29B (4B active, MoE)KAT-Coder V2.5 Dev 35B (3B active, MoE)Nemotron 3.5 Lightning 30B-A3B 30B (3B active, MoE)Recursive Flint 40B-A2.5B 39.8B (2.5B active, MoE)Spark-X2.5-4B 4B

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