Comments (1)
The best path is right now is:
- Train with MLX directly from
.safetensors
- Fuse adapters into original model save as
.safetensors
- Export fused model to GGUF in your desired quantization
Check out this reddit thread for more details.
Maybe I or someone else will write a more detailed guide for that as I think it's a common question!
from mlx-examples.
Related Issues (20)
- speed issue in transformer_lm eval example
- Issue with Image2Image [Stable Diffusion] HOT 1
- Memory Issues HOT 9
- Gemma issues identified by the Unsloth team / impact on mlx code? (shared on our discord as well)
- Allows support MLX LM for remote machines HOT 3
- LoRA: Increased volatility of train loss HOT 17
- Encountered mlx version issue in text2img example HOT 1
- LoRA llama2-70b not giving any info when fine tuning HOT 1
- Add chronos model(s) to mlx-lm HOT 6
- Can context size of llm be changed when generate text? HOT 3
- Add grok-1 to mlx-examples
- How to get a better trade-off between GPU-efficiency and memory footprint? HOT 2
- Training set not found HOT 2
- Could I use binary format data when fine tuning with lora? HOT 1
- How could I deal with the GPU memory issue when fine-tune with lora? HOT 5
- Add wav2vec2 support for real-time ASR
- [Feature Request] LLaVA 1.6 LoRA fine-tuning example HOT 15
- How to do the LoRA fine-tuning incrementally HOT 3
- Error in finetuning mistralai/Mixtral-8x7B-v0.1 using mlx_lm.lora HOT 10
- https://github.com/ml-explore/mlx-examples/blob/main/llms/mlx_lm/SERVER.md example is broken HOT 3
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from mlx-examples.