tokyotech-llm · First MLX build 25 Jun 2025
Llama-3.1-Swallow-8B-Instruct-v0.5
MLX
Text llama3.3
A 8B parameter text generation model from tokyotech-llm, with 3 MLX builds, from 4-bit to 8-bit.
- Parameters
- 8B From Hugging Face
- Quantisation
- 4-bit Llama-3.1-Swallow-8B-Instruct-v0.5-4bit
- Memory needed
- 8 GB Estimate, unified memory
- Download
- 4.5 GB Weights, estimated
- Downloads
- 133 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 8 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/Llama-3.1-Swallow-8B-Instruct-v0.5-4bit --prompt "Hello"MLX builds
3 on mlx-community| Llama-3.1-Swallow-8B-Instruct-v0.5-4bit | 4-bit | 4.5 GB | 8 GB | 133 |
|---|---|---|---|---|
| Llama-3.1-Swallow-8B-Instruct-v0.5-8bit | 8-bit | 8.5 GB | 12 GB | 38 |
| Llama-3.1-Swallow-8B-Instruct-v0.5 | Unstated | 16.1 GB | 20 GB | 48 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.