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  1. .gitattributes +1 -0
  2. README.md +204 -0
  3. config.json +81 -0
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+ ---
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+ library_name: mlx
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+ language:
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+ - ar
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+ - de
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+ - en
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+ - es
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+ - fr
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+ - hi
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+ - id
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+ - it
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+ - pt
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+ - th
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+ - tl
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+ - vi
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+ base_model: meta-llama/Llama-4-Maverick-17B-128E-Instruct
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+ tags:
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+ 6\. **Term and Termination**. The term of this Agreement will commence upon your
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+ 7\. **Governing Law and Jurisdiction**. This Agreement will be governed and construed
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+ under the laws of the State of California without regard to choice of law principles,
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+ and the UN Convention on Contracts for the International Sale of Goods does not
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+ apply to this Agreement. The courts of California shall have exclusive jurisdiction
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+ of any dispute arising out of this Agreement.'
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+ extra_gated_fields:
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+ First Name: text
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+ Last Name: text
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+ Date of birth: date_picker
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+ Country: country
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+ Affiliation: text
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+ Job title:
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+ type: select
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+ options:
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+ - Student
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+ - Research Graduate
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+ - AI researcher
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+ - AI developer/engineer
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+ - Reporter
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+ - Other
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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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+ edit this form after submission, so please ensure all information is accurate.
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+ license: other
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+ license_name: llama4
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+ pipeline_tag: text-generation
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+ ---
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+
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+ # mlx-community/Llama-4-Maverick-17B-16E-Instruct-6bit
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+
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+ This model [mlx-community/Llama-4-Maverick-17B-16E-Instruct-6bit](https://huggingface.co/mlx-community/Llama-4-Maverick-17B-16E-Instruct-6bit) was
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+ converted to MLX format from [meta-llama/Llama-4-Maverick-17B-128E-Instruct](https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct)
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+ using mlx-lm version **0.22.3**.
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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/Llama-4-Maverick-17B-16E-Instruct-6bit")
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+
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+ prompt = "hello"
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+
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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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+
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+ response = generate(model, tokenizer, prompt=prompt, verbose=True)
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+ ```
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+ "pad_token_id": 200018,
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+ "rms_norm_eps": 1e-05,
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+ "torch_dtype": "bfloat16",
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+ "use_cache": true,
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+ "use_qk_norm": false,
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+ "vocab_size": 202048
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+ },
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.51.0.dev0",
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+ "vision_config": {
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+ "multi_modal_projector_bias": false,
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+ "num_channels": 3,
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+ "patch_size": 14,
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+ "rope_theta": 10000,
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+ "vision_feature_layer": -1,
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+ "vision_feature_select_strategy": "default",
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+ "vision_output_dim": 4096
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+ }
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+ }
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