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 # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("emese-tech/csermely-mlx") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- 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 # Generate some text mlx_lm.generate --model "emese-tech/csermely-mlx" --prompt "Once upon a time"
| { | |
| "model_type": "llama", | |
| "vocab_size": 32000, | |
| "d_model": 768, | |
| "n_layers": 16, | |
| "n_heads": 12, | |
| "d_ff": 2048, | |
| "max_seq_len": 2048, | |
| "rope_theta": 10000.0, | |
| "rope_yarn": true, | |
| "rope_yarn_scale": 4.0, | |
| "rope_yarn_alpha": 1.0, | |
| "rope_yarn_beta": 32.0, | |
| "rms_norm_eps": 1e-5, | |
| "tie_word_embeddings": true, | |
| "torch_dtype": "bfloat16", | |
| "repetition_penalty": 1.2, | |
| "bos_token_id": 2, | |
| "eos_token_id": 3, | |
| "pad_token_id": 1 | |
| } | |