mlx-swift-examples
Examples using MLX Swift (by ml-explore)
| mlx-swift-examples | binary-mlc-llm-libs | |
|---|---|---|
| 1 | 3 | |
| 424 | 153 | |
| 5.0% | 14.4% | |
| 8.6 | 8.8 | |
| 9 days ago | 9 days ago | |
| Swift | ||
| MIT License | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
mlx-swift-examples
Posts with mentions or reviews of mlx-swift-examples.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-23.
-
Llama3 running locally on iPhone 15 Pro
Related with GitHub link
"Next level: QLoRA fine-tuning 4-bit Llama 3 8B on iPhone 15 pro.
Incoming (Q)LoRA MLX Swift example by David Koski: https://github.com/ml-explore/mlx-swift-examples/pull/46 works with lot's of models (Mistral, Gemma, Phi-2, etc)"
https://twitter.com/awnihannun/status/1782436898285527229
binary-mlc-llm-libs
Posts with mentions or reviews of binary-mlc-llm-libs.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-23.
- Llama3 running locally on iPhone 15 Pro
-
MLC-LLM for Android
Download APK from here - https://github.com/mlc-ai/binary-mlc-llm-libs/raw/main/mlc-chat.apk
-
MLC-LLM: GPT/Llama on consumer-class GPUs and phones
The installation process includes downloading precompiled binaries from this repo:
https://github.com/mlc-ai/binary-mlc-llm-libs
Is the code from which these are built available somewhere? How does one go about building one for their own model?
What are some alternatives?
When comparing mlx-swift-examples and binary-mlc-llm-libs you can also consider the following projects:
mlc-llm - Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.