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--- |
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base_model: pints-ai/1.5-Pints-2K-v0.1 |
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datasets: |
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- pints-ai/Expository-Prose-V1 |
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- HuggingFaceH4/ultrachat_200k |
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- Open-Orca/SlimOrca-Dedup |
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- meta-math/MetaMathQA |
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- HuggingFaceH4/deita-10k-v0-sft |
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- WizardLM/WizardLM_evol_instruct_V2_196k |
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- togethercomputer/llama-instruct |
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- LDJnr/Capybara |
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- HuggingFaceH4/ultrafeedback_binarized |
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language: |
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- en |
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license: mit |
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pipeline_tag: text-generation |
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tags: |
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- mlx |
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extra_gated_prompt: Though best efforts has been made to ensure, as much as possible, |
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that all texts in the training corpora are royalty free, this does not constitute |
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a legal guarantee that such is the case. **By using any of the models, corpora or |
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part thereof, the user agrees to bear full responsibility to do the necessary due |
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diligence to ensure that he / she is in compliance with their local copyright laws. |
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Additionally, the user agrees to bear any damages arising as a direct cause (or |
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otherwise) of using any artifacts released by the pints research team, as well as |
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full responsibility for the consequences of his / her usage (or implementation) |
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of any such released artifacts. The user also indemnifies Pints Research Team (and |
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any of its members or agents) of any damage, related or unrelated, to the release |
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or subsequent usage of any findings, artifacts or code by the team. For the avoidance |
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of doubt, any artifacts released by the Pints Research team are done so in accordance |
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with the 'fair use' clause of Copyright Law, in hopes that this will aid the research |
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community in bringing LLMs to the next frontier. |
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extra_gated_fields: |
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Company: text |
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Country: country |
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Specific date: date_picker |
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I want to use this model for: |
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type: select |
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options: |
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- Research |
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- Education |
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- label: Other |
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value: other |
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I agree to use this model for in accordance to the afore-mentioned Terms of Use: checkbox |
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model-index: |
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- name: 1.5-Pints |
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results: |
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- task: |
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type: text-generation |
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dataset: |
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name: MTBench |
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type: ai2_arc |
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metrics: |
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- type: LLM-as-a-Judge |
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value: 3.73 |
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name: MTBench |
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source: |
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url: https://huggingface.co/spaces/lmsys/mt-bench |
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name: MTBench |
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--- |
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|
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# mlx-community/1.5-Pints-2K-v0.1 |
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|
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The Model [mlx-community/1.5-Pints-2K-v0.1](https://huggingface.co/mlx-community/1.5-Pints-2K-v0.1) was converted to MLX format from [pints-ai/1.5-Pints-2K-v0.1](https://huggingface.co/pints-ai/1.5-Pints-2K-v0.1) using mlx-lm version **0.19.2**. |
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|
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## Use with mlx |
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|
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```bash |
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pip install mlx-lm |
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``` |
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|
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```python |
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from mlx_lm import load, generate |
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|
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model, tokenizer = load("mlx-community/1.5-Pints-2K-v0.1") |
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|
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prompt="hello" |
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|
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if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None: |
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messages = [{"role": "user", "content": prompt}] |
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prompt = tokenizer.apply_chat_template( |
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messages, tokenize=False, add_generation_prompt=True |
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) |
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|
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response = generate(model, tokenizer, prompt=prompt, verbose=True) |
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``` |
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