Translation
Transformers
Safetensors
MLX
hunyuan_v1_dense
text-generation
abliterated
uncensored
mlx-my-repo
Instructions to use Eldadalbajob/Huihui-Hunyuan-MT-Chimera-7B-abliterated-mlx-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Eldadalbajob/Huihui-Hunyuan-MT-Chimera-7B-abliterated-mlx-fp16 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="Eldadalbajob/Huihui-Hunyuan-MT-Chimera-7B-abliterated-mlx-fp16")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Eldadalbajob/Huihui-Hunyuan-MT-Chimera-7B-abliterated-mlx-fp16") model = AutoModelForCausalLM.from_pretrained("Eldadalbajob/Huihui-Hunyuan-MT-Chimera-7B-abliterated-mlx-fp16", device_map="auto") - MLX
How to use Eldadalbajob/Huihui-Hunyuan-MT-Chimera-7B-abliterated-mlx-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Huihui-Hunyuan-MT-Chimera-7B-abliterated-mlx-fp16 Eldadalbajob/Huihui-Hunyuan-MT-Chimera-7B-abliterated-mlx-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 7833693df119048772729da559c716dae195090f4f8186edb5793191d06af67f
- Size of remote file:
- 5.3 GB
- SHA256:
- 1bbf2da5c65b99bd66341876f09489f12dec66e6217cd62d725765bd5a3621a6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.