Translation
Transformers
Safetensors
MLX
Japanese
English
llama
text-generation
machine-translation
japanese
english
mlx-my-repo
text-generation-inference
5-bit
Instructions to use moutons/CAT-Translate-3.3b-mlx-5Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moutons/CAT-Translate-3.3b-mlx-5Bit with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="moutons/CAT-Translate-3.3b-mlx-5Bit")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("moutons/CAT-Translate-3.3b-mlx-5Bit") model = AutoModelForCausalLM.from_pretrained("moutons/CAT-Translate-3.3b-mlx-5Bit") - MLX
How to use moutons/CAT-Translate-3.3b-mlx-5Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir CAT-Translate-3.3b-mlx-5Bit moutons/CAT-Translate-3.3b-mlx-5Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| { | |
| "architectures": [ | |
| "LlamaForCausalLM" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 1, | |
| "dtype": "bfloat16", | |
| "eos_token_id": [ | |
| 2 | |
| ], | |
| "head_dim": 160, | |
| "hidden_act": "silu", | |
| "hidden_size": 2560, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 8960, | |
| "max_position_embeddings": 8192, | |
| "mlp_bias": false, | |
| "model_type": "llama", | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 32, | |
| "num_key_value_heads": 8, | |
| "pad_token_id": 3, | |
| "pretraining_tp": 1, | |
| "quantization": { | |
| "group_size": 64, | |
| "bits": 5, | |
| "mode": "affine" | |
| }, | |
| "quantization_config": { | |
| "group_size": 64, | |
| "bits": 5, | |
| "mode": "affine" | |
| }, | |
| "rms_norm_eps": 1e-05, | |
| "rope_scaling": null, | |
| "rope_theta": 500000, | |
| "tie_word_embeddings": false, | |
| "transformers_version": "4.57.1", | |
| "use_cache": false, | |
| "vocab_size": 102400 | |
| } |