LocalClaw/LLM/Llama 3.3 (70B)
Open-weight local LLM

Llama 3.3 (70B)

Meta's 70B workhorse. Good finetune ecosystem. Outperformed by GLM 4.5 Air and DeepSeek V3.2 for raw quality.

64 GB workstation 48 GB RAM Q4_K_M Maximum quality local AI
Run with LocalClaw Compare all models
Parameters
70B
Minimum RAM
48 GB
Model size
42 GB
Quantization
Q4_K_M

Can Llama 3.3 (70B) run locally?

Llama 3.3 (70B) is best for 64 GB workstations and larger Apple Silicon or NVIDIA setups.

Search for llama-3.3-70b-instruct in LM Studio or another GGUF-compatible runtime.

lmstudio-community/Llama-3.3-70B-Instruct-GGUF
chatpowerqualitygeneral

Install path

01
Check RAM fitMinimum 48 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch llama-3.3-70b-instruct in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Best Llama model to date
  • Matches Llama 3.1 405B on some tasks
  • Strong coding and reasoning
  • 128K context

Limitations

  • Requires 48GB+ RAM
  • Slow inference

Best use cases

  • Maximum quality local AI
  • Enterprise
  • Research
  • Complex analysis

Capability profile

speed
2
quality
9
coding
8
reasoning
8

Technical notes

Developer
Meta AI
License
Llama 3.3 Community License
Context window
131,072 tokens
Architecture
Transformer with GQA, 128K context

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

Similar models to compare

Qwen 2.5 (72B) 72BDeepSeek R1 Distill (70B) 70BLlama 3.1 (70B) 70B

Where to go next