LocalClaw/LLM/CodeLlama 34B
Open-weight local LLM

CodeLlama 34B

Catalogue summary: Massive coding model. Handles complex refactoring, architecture, and multi-file edits.

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

32 GB catalogue minimum32 GB RAMQ4_K_MCoding assistant
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Open in LM StudioOpens the app on this model's download screenOpen in UnslothLaunches Unsloth Desktop on this model's download page
OllamaNot available for this model
Open on Hugging FaceFiles, licence and available downloadsOpen llama.cpp setupAdvanced option: opens the model filesUse with LocalClawOptional workspace after the model is installed

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Parameters
34B
Minimum RAM
32 GB
Model size
20 GB
Quantization
Q4_K_M

Can CodeLlama 34B run locally?

CodeLlama 34B has a catalogue minimum of 32 GB RAM with Q4_K_M. Actual memory use and speed vary by context length, runtime, backend and system headroom.

Use codellama-34b-instruct as the catalogue search term in a compatible runtime, and confirm the available format on the upstream repository before download.

Public GGUF repository (verified 2026-09-07): TheBloke/CodeLlama-34B-Instruct-GGUF
codepowerquality

Install path

01
Check RAM fitMinimum 32 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch codellama-34b-instruct in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Catalogue record

  • Family: codellama
  • Parameters: 34B
  • Recommended quantization: Q4_K_M
  • Catalogue minimum RAM: 32 GB
  • Catalogue model size: 20 GB
  • Tags: code, power, 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

  • code
  • power
  • quality

Capability profile

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

speed
4
quality
7
coding
9
reasoning
7

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.

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.

GLM-4 (32B) 32BQwen 3 (32B) 32BQwen 3.6 (27B) 27BGemma 2 (27B) 27BLlama-3.3-Nemotron-Super (49B) 49BMuse Glimmer 30B 29.8B multimodalQwen 2.5 Coder (32B) 32BQwen 3 Coder (30B) 30B

Where to go next