NVIDIA · First MLX build 16 Oct 2024
Llama-3.1-Nemotron-70B-Instruct-HF
MLX
Text llama3.1
A 71B parameter text generation model from NVIDIA, with 5 MLX builds, from 4-bit to bf16.
- Parameters
- 71B From Hugging Face
- Quantisation
- 4-bit nvidia_Llama-3.1-Nemotron-70B-Instruct-HF_4bit
- Memory needed
- 47 GB Estimate, unified memory
- Download
- 39.7 GB Weights, estimated
- Downloads
- 1.2K This build, last 30 days
- Task
- Text generation Text
- MLX builds
- 5 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 47 GB at 4-bit
8 GB
16 GB
24 GB
32 GB
64 GB
128 GB
Fits with headroomTight, close other appsWon’t fit
Estimated from the size of the weights, plus a fifth for context and working memory and 2 GB for macOS and your apps. Long contexts need more.
Run it
Terminal · mlx-lm$ pip install -U mlx-lm
$ mlx_lm.generate --model mlx-community/nvidia_Llama-3.1-Nemotron-70B-Instruct-HF_4bit --prompt "Hello"MLX builds
5 on mlx-community| nvidia_Llama-3.1-Nemotron-70B-Instruct-HF_4bit | 4-bit | 39.7 GB | 47 GB | 1.2K |
|---|---|---|---|---|
| Llama-3.1-Nemotron-70B-Instruct-HF-4bit | 4-bit | 39.7 GB | 47 GB | 147 |
| Llama-3.1-Nemotron-70B-Instruct-HF-8bit | 8-bit | 75.0 GB | 86 GB | 158 |
| Llama-3.1-Nemotron-70B-Instruct-HF-bf16 | bf16 | 141 GB | 160 GB | 250 |
| Llama-3.1-Nemotron-70B-Instruct-HF | Unstated | 141 GB | 160 GB | 132 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.