JetBrains · First MLX build 28 Jun 2025
Mellum-4b-sft-python
MLX
Text apache-2.0
A 4B parameter text generation model from JetBrains, with 3 MLX builds, from 4-bit to 8-bit.
- Parameters
- 4B From Hugging Face
- Quantisation
- Unstated Mellum-4b-sft-python
- Memory needed
- 11 GB Estimate, unified memory
- Download
- 8.0 GB Weights, estimated
- Downloads
- 80 This build, last 30 days
- Task
- Text generation Text
- MLX builds
- 3 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 11 GB at Unstated
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/Mellum-4b-sft-python --prompt "Hello"MLX builds
3 on mlx-community| Mellum-4b-sft-python-4bit | 4-bit | 2.3 GB | 5 GB | 57 |
|---|---|---|---|---|
| Mellum-4b-sft-python-8bit | 8-bit | 4.3 GB | 7 GB | 51 |
| Mellum-4b-sft-python | Unstated | 8.0 GB | 11 GB | 80 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.