| license: apache-2.0 | |
| library_name: transformers | |
| tags: | |
| - mlx | |
| datasets: | |
| - cerebras/SlimPajama-627B | |
| - HuggingFaceH4/ultrachat_200k | |
| - hkust-nlp/deita-10k-v0 | |
| - Open-Orca/SlimOrca-Dedup | |
| - cognitivecomputations/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split | |
| - HuggingFaceH4/capybara | |
| - meta-math/MetaMathQA | |
| - argilla/ultrafeedback-binarized-preferences-cleaned | |
| - Intel/orca_dpo_pairs | |
| - alexredna/oasst2_dpo_pairs | |
| pipeline_tag: text-generation | |
| # ucalyptus/prem-1B-chat-MLX | |
| This model was converted to MLX format from [`premai-io/prem-1B-chat`](). | |
| Refer to the [original model card](https://huggingface.co/premai-io/prem-1B-chat) for more details on the model. | |
| ## Use with mlx | |
| ```bash | |
| pip install mlx-lm | |
| ``` | |
| ```python | |
| from mlx_lm import load, generate | |
| model, tokenizer = load("ucalyptus/prem-1B-chat-MLX") | |
| response = generate(model, tokenizer, prompt="hello", verbose=True) | |
| ``` | |