Text Generation
MLX
Safetensors
Hungarian
llama
hungarian
emese
eurollm
instruct
chatml
apple-silicon
quantized
conversational
8-bit precision
Instructions to use emese-tech/folyo-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use emese-tech/folyo-mlx with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("emese-tech/folyo-mlx") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use emese-tech/folyo-mlx with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "emese-tech/folyo-mlx"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "emese-tech/folyo-mlx" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "emese-tech/folyo-mlx", "messages": [ {"role": "user", "content": "Hello"} ] }' - Atomic Chat
Download generation_config.json from emese-tech/folyo-mlx: direct link, hf CLI and curl.
- Browser
- Download file 127 Bytes
-
https://huggingface.co/emese-tech/folyo-mlx/resolve/main/generation_config.json
- Command line
-
hf download hf://emese-tech/folyo-mlx/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/emese-tech/folyo-mlx/resolve/main/generation_config.json
127 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 1, | |
| "eos_token_id": [ | |
| 2, | |
| 4 | |
| ], | |
| "transformers_version": "4.56.1" | |
| } |