MODEL / META

Llama 3.1 70B

Plan for 48 GB minimum at Q4 and more for meaningful context or concurrency.

Sumber primer

Total parameter70B

Estimasi memori~46 GBGGUF Q4

Konteks128KText

LicenseLlama 3.1 Community8 official languages

01 / COCOK UNTUK

quality chat
reasoning
synthetic data

02 / KECOCOKAN PERKIRAAN

Mac Studio M5 Ultra · 96 GBLega MacBook Pro M5 Max · 64 GBKetat Framework Desktop · Ryzen AI Max+ 395 · 128 GBLega NVIDIA DGX Spark · 128 GBLega Mac Studio M3 Ultra · 96 GBLega

03 / JALANKAN DENGAN

These are runtime examples, not validated installation recipes. Fit estimates assume quantized files; official repositories may hold full-precision weights. MLX, GGUF and TensorRT require matching conversions or engines.

OllamaEasyollama run llama3.1:70b

llama.cppMediumllama-server -m /path/to/verified-model.gguf --port 9931

LM StudioEasySearch “meta-llama/Llama-3.1-70B-Instruct” → Load a Q4/INT4 build → Start Server

MLX LMMediummlx_lm.server --model meta-llama/Llama-3.1-70B-Instruct

Perhatian

Plan for 48 GB minimum at Q4 and more for meaningful context or concurrency.