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--- |
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license: other |
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license_name: fair-noncommercial-research |
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extra_gated_prompt: "FAIR Noncommercial Research License v1 Last Updated: August 18,\ |
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\ here [https://docs.google.com/forms/d/e/1FAIpQLSeb11cryAopJ7LNrC4nxEUXrHY26hfkXQMf_uH-oFgA3WlYZQ/viewform].\ |
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\ \n" |
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extra_gated_fields: |
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First Name: text |
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- Student |
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geo: ip_location |
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? By clicking Submit below I accept the terms of the license and acknowledge that |
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the information I provide will be collected stored processed and shared in accordance |
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with the Meta Privacy Policy |
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: checkbox |
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extra_gated_description: The information you provide will be collected, stored, processed |
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and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/). |
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extra_gated_button_content: Submit |
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edit this form after submission, so please ensure all information is accurate. |
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language: |
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- en |
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library_name: mlx |
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tags: |
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- facebook |
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- meta |
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- pytorch |
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- mobilellm |
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- mlx |
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base_model: facebook/MobileLLM-R1-360M |
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pipeline_tag: text-generation |
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--- |
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# samairtimer/MobileLLM-R1-360M-4bit |
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This model [samairtimer/MobileLLM-R1-360M-4bit](https://huggingface.co/samairtimer/MobileLLM-R1-360M-4bit) was |
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converted to MLX format from [facebook/MobileLLM-R1-360M](https://huggingface.co/facebook/MobileLLM-R1-360M) |
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using mlx-lm version **0.27.1**. |
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## Use with mlx |
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```bash |
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pip install mlx-lm |
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``` |
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```python |
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from mlx_lm import load, generate |
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model, tokenizer = load("samairtimer/MobileLLM-R1-360M-4bit") |
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prompt = "hello" |
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if 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, add_generation_prompt=True |
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) |
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response = generate(model, tokenizer, prompt=prompt, verbose=True) |
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``` |
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