1cf843d17d214b44e230c5cb58bf02c7cca1a1f7ac15ef9f70beed4895ef797f

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,234 @@
----
-license: mit
----
+---
+language:
+- en
+- de
+- fr
+- it
+- pt
+- hi
+- es
+- th
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- facebook
+- meta
+- pytorch
+- llama
+- llama-3
+- mlx
+license: llama3.2
+extra_gated_prompt: "### LLAMA 3.2 COMMUNITY LICENSE AGREEMENT\n\nLlama 3.2 Version\
+  \ Release Date: September 25, 2024\n\n“Agreement” means the terms and conditions\
+  \ for use, reproduction, distribution  and modification of the Llama Materials set\
+  \ forth herein.\n\n“Documentation” means the specifications, manuals and documentation\
+  \ accompanying Llama 3.2 distributed by Meta at https://llama.meta.com/doc/overview.\n\
+  \n“Licensee” or “you” means you, or your employer or any other person or entity\
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+  \ of the age required under applicable laws, rules or regulations to provide legal\
+  \ consent and that has legal authority to bind your employer or such other person\
+  \ or entity if you are entering in this Agreement on their behalf.\n\n“Llama 3.2”\
+  \ means the foundational large language models and software and algorithms, including\
+  \ machine-learning model code, trained model weights, inference-enabling code, training-enabling\
+  \ code, fine-tuning enabling code and other elements of the foregoing distributed\
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+  Meta is committed to promoting safe and fair use of its tools and features, including\
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+  #### Prohibited Uses\nWe want everyone to use Llama 3.2 safely and responsibly.\
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+  \ such information or materials.\n        5. Sexual solicitation\n        6. Any\
+  \ other criminal activity\n    1. Engage in, promote, incite, or facilitate the\
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+  \ and eating disorders\n    13. Any content intended to incite or promote violence,\
+  \ abuse, or any infliction of bodily harm to an individual\n3. Intentionally deceive\
+  \ or mislead others, including use of Llama 3.2 related to the following:\n    14.\
+  \ Generating, promoting, or furthering fraud or the creation or promotion of disinformation\n\
+  \    15. Generating, promoting, or furthering defamatory content, including the\
+  \ creation of defamatory statements, images, or other content\n    16. Generating,\
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+  \ without consent, authorization, or legal right\n    18. Representing that the\
+  \ use of Llama 3.2 or outputs are human-generated\n    19. Generating or facilitating\
+  \ false online engagement, including fake reviews and other means of fake online\
+  \ engagement \n4. Fail to appropriately disclose to end users any known dangers\
+  \ of your AI system 5. Interact with third party tools, models, or software designed\
+  \ to generate unlawful content or engage in unlawful or harmful conduct and/or represent\
+  \ that the outputs of such tools, models, or software are associated with Meta or\
+  \ Llama 3.2\n\nWith respect to any multimodal models included in Llama 3.2, the\
+  \ rights granted under Section 1(a) of the Llama 3.2 Community License Agreement\
+  \ are not being granted to you if you are an individual domiciled in, or a company\
+  \ with a principal place of business in, the European Union. This restriction does\
+  \ not apply to end users of a product or service that incorporates any such multimodal\
+  \ models.\n\nPlease report any violation of this Policy, software “bug,” or other\
+  \ problems that could lead to a violation of this Policy through one of the following\
+  \ means:\n\n* Reporting issues with the model: [https://github.com/meta-llama/llama-models/issues](https://l.workplace.com/l.php?u=https%3A%2F%2Fgithub.com%2Fmeta-llama%2Fllama-models%2Fissues&h=AT0qV8W9BFT6NwihiOHRuKYQM_UnkzN_NmHMy91OT55gkLpgi4kQupHUl0ssR4dQsIQ8n3tfd0vtkobvsEvt1l4Ic6GXI2EeuHV8N08OG2WnbAmm0FL4ObkazC6G_256vN0lN9DsykCvCqGZ)\n\
+  * Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)\n\
+  * Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)\n\
+  * Reporting violations of the Acceptable Use Policy or unlicensed uses of Llama\
+  \ 3.2: LlamaUseReport@meta.com"
+extra_gated_fields:
+  First Name: text
+  Last Name: text
+  Date of birth: date_picker
+  Country: country
+  Affiliation: text
+  Job title:
+    type: select
+    options:
+    - Student
+    - Research Graduate
+    - AI researcher
+    - AI developer/engineer
+    - Reporter
+    - Other
+  geo: ip_location
+  ? By clicking Submit below I accept the terms of the license and acknowledge that
+    the information I provide will be collected stored processed and shared in accordance
+    with the Meta Privacy Policy
+  : checkbox
+extra_gated_description: The information you provide will be collected, stored, processed
+  and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
+extra_gated_button_content: Submit
+base_model: meta-llama/Llama-3.2-1B
+---
+
+# bobachicken/Llama-3.2-1B-Alpaca
+
+The Model [bobachicken/Llama-3.2-1B-Alpaca](https://huggingface.co/bobachicken/Llama-3.2-1B-Alpaca) was converted to MLX format from [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) using mlx-lm version **0.19.3**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("bobachicken/Llama-3.2-1B-Alpaca")
+
+prompt="hello"
+
+if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
+    messages = [{"role": "user", "content": prompt}]
+    prompt = tokenizer.apply_chat_template(
+        messages, tokenize=False, add_generation_prompt=True
+    )
+
+response = generate(model, tokenizer, prompt=prompt, verbose=True)
+```

config.json

@@ -0,0 +1,35 @@
+{
+    "architectures": [
+        "LlamaForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": 128000,
+    "eos_token_id": 128001,
+    "head_dim": 64,
+    "hidden_act": "silu",
+    "hidden_size": 2048,
+    "initializer_range": 0.02,
+    "intermediate_size": 8192,
+    "max_position_embeddings": 131072,
+    "mlp_bias": false,
+    "model_type": "llama",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 16,
+    "num_key_value_heads": 8,
+    "pretraining_tp": 1,
+    "rms_norm_eps": 1e-05,
+    "rope_scaling": {
+        "factor": 32.0,
+        "high_freq_factor": 4.0,
+        "low_freq_factor": 1.0,
+        "original_max_position_embeddings": 8192,
+        "rope_type": "llama3"
+    },
+    "rope_theta": 500000.0,
+    "tie_word_embeddings": true,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.45.0.dev0",
+    "use_cache": true,
+    "vocab_size": 128256
+}

model.safetensors.index.json

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special_tokens_map.json

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