Text Generation
MLX
Safetensors
Hungarian
llama
hungarian
emese
eurollm
instruct
chatml
on-device
apple-silicon
quantized
conversational
8-bit precision
Instructions to use emese-tech/csermely-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use emese-tech/csermely-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/csermely-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/csermely-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/csermely-mlx"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "emese-tech/csermely-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/csermely-mlx", "messages": [ {"role": "user", "content": "Hello"} ] }' - Atomic Chat
Download tokenizer.json from emese-tech/csermely-mlx: direct link, hf CLI and curl.
- Browser
- Download file 6.37 MB
-
https://huggingface.co/emese-tech/csermely-mlx/resolve/main/tokenizer.json
- Command line
-
hf download hf://emese-tech/csermely-mlx/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/emese-tech/csermely-mlx/resolve/main/tokenizer.json
6.37 MB
- Xet hash:
- d1fda2622f825335eb6e4fff013bcc80505ec849bf7a8f4759317bcffdb91d64
- Size of remote file:
- 6.37 MB
- SHA256:
- 18f1a184eed3a9ffb7831976e240db3058749ebb78b5de0f385a177aa105229d
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