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README.md ADDED
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+ ---
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+ language:
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+ - en
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+ - de
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+ - fr
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+ - it
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+ - pt
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+ - hi
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+ - es
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+ - th
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+ license: llama3.1
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+ library_name: transformers
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+ tags:
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+ - facebook
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+ - meta
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+ - pytorch
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+ - llama
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+ - llama-3
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+ - mlx
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+ pipeline_tag: text-generation
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+ extra_gated_prompt: "### LLAMA 3.1 COMMUNITY LICENSE AGREEMENT\nLlama 3.1 Version\
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+ \ Release Date: July 23, 2024\n\"Agreement\" means the terms and conditions for\
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+ \ of any dispute arising out of this Agreement.\n### Llama 3.1 Acceptable Use Policy\n\
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+ Meta is committed to promoting safe and fair use of its tools and features, including\
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+ \ Llama 3.1. If you access or use Llama 3.1, you agree to this Acceptable Use Policy\
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+ #### Prohibited Uses\nWe want everyone to use Llama 3.1 safely and responsibly.\
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+ \ or harm to others, including suicide, cutting, and eating disorders\n 6. Any\
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+ \ content intended to incite or promote violence, abuse, or any infliction of bodily\
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+ \ harm to an individual\n3. Intentionally deceive or mislead others, including use\
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+ \ of Llama 3.1 related to the following:\n 1. Generating, promoting, or furthering\
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+ \ fraud or the creation or promotion of disinformation\n 2. Generating, promoting,\
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+ \ or furthering defamatory content, including the creation of defamatory statements,\
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+ \ images, or other content\n 3. Generating, promoting, or further distributing\
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+ \ spam\n 4. Impersonating another individual without consent, authorization,\
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+ \ 6. Generating or facilitating false online engagement, including fake reviews\
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+ \ and other means of fake online engagement\n4. Fail to appropriately disclose to\
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+ \ end users any known dangers of your AI system\nPlease report any violation of\
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+ \ this Policy, software “bug,” or other problems that could lead to a violation\
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+ \ of this Policy through one of the following means:\n * Reporting issues with\
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+ \ * Reporting risky content generated by the model:\n developers.facebook.com/llama_output_feedback\n\
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+ \ * Reporting bugs and security concerns: facebook.com/whitehat/info\n * Reporting\
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+ \ violations of the Acceptable Use Policy or unlicensed uses of Meta Llama 3: LlamaUseReport@meta.com"
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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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+ 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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+ ---
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+
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+ # mlx-community/Meta-Llama-3.1-70B-Instruct-8bit
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+
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+ The Model [mlx-community/Meta-Llama-3.1-70B-Instruct-8bit](https://huggingface.co/mlx-community/Meta-Llama-3.1-70B-Instruct-8bit) was converted to MLX format from [meta-llama/Meta-Llama-3.1-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct) using mlx-lm version **0.16.0**.
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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/Meta-Llama-3.1-70B-Instruct-8bit")
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+ response = generate(model, tokenizer, prompt="hello", verbose=True)
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+ ```
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+ "mlp_bias": false,
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+ "model_type": "llama",
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+ "num_attention_heads": 64,
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+ "num_hidden_layers": 80,
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+ "num_key_value_heads": 8,
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+ "pretraining_tp": 1,
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+ "quantization": {
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+ "rope_type": "llama3"
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+ },
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+ "rope_theta": 500000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.42.3",
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+ "use_cache": true,
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+ "vocab_size": 128256
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+ }
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1964
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1982
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1983
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1985
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1988
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1990
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1991
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1993
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1996
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2004
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2012
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2013
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2014
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2015
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2016
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2017
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+ },
2019
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2020
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2030
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2031
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+ }
2051
+ },
2052
+ "bos_token": "<|begin_of_text|>",
2053
+ "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}",
2054
+ "clean_up_tokenization_spaces": true,
2055
+ "eos_token": "<|eot_id|>",
2056
+ "model_input_names": [
2057
+ "input_ids",
2058
+ "attention_mask"
2059
+ ],
2060
+ "model_max_length": 131072,
2061
+ "tokenizer_class": "PreTrainedTokenizerFast"
2062
+ }