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@@ -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

@@ -0,0 +1,189 @@
+---
+library_name: transformers
+language:
+- ar
+- de
+- en
+- es
+- fr
+- hi
+- id
+- it
+- pt
+- th
+- tl
+- vi
+base_model:
+- meta-llama/Llama-4-Scout-17B-16E
+tags:
+- facebook
+- meta
+- pytorch
+- llama
+- llama-4
+- mlx
+extra_gated_prompt: '**LLAMA 4 COMMUNITY LICENSE AGREEMENT**
+
+  Llama 4 Version Effective Date: April 5, 2025
+
+  "**Agreement**" means the terms and conditions for use, reproduction, distribution
+  and modification of the Llama Materials set forth herein.
+
+  "**Documentation**" means the specifications, manuals and documentation accompanying
+  Llama 4 distributed by Meta at [https://www.llama.com/docs/overview](https://llama.com/docs/overview).
+
+  "**Licensee**" or "**you**" means you, or your employer or any other person or entity
+  (if you are entering into this Agreement on such person or entity’s behalf), 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.
+
+  "**Llama 4**" 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 by Meta at [https://www.llama.com/llama-downloads](https://www.llama.com/llama-downloads).
+
+  "**Llama Materials**" means, collectively, Meta’s proprietary Llama 4 and Documentation
+  (and any portion thereof) made available under this Agreement.
+
+  "**Meta**" or "**we**" means Meta Platforms Ireland Limited (if you are located
+  in or, if you are an entity, your principal place of business is in the EEA or Switzerland)
+  and Meta Platforms, Inc. (if you are located outside of the EEA or Switzerland). 
+
+  By clicking "I Accept" below or by using or distributing any portion or element
+  of the Llama Materials, you agree to be bound by this Agreement.
+
+  1\. **License Rights and Redistribution**.
+
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+
+  b. Redistribution and Use.  
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+  i. If you distribute or make available the Llama Materials (or any derivative works
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+  any outputs or results of the Llama Materials to create, train, fine tune, or otherwise
+  improve an AI model, which is distributed or made available, you shall also include
+  "Llama" at the beginning of any such AI model name.
+
+  ii. If you receive Llama Materials, or any derivative works thereof, from a Licensee
+  as part of an integrated end user product, then Section 2 of this Agreement will
+  not apply to you. 
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+  iii. You must retain in all copies of the Llama Materials that you distribute the
+  following attribution notice within a "Notice" text file distributed as a part of
+  such copies: "Llama 4 is licensed under the Llama 4 Community License, Copyright
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+  iv. Your use of the Llama Materials must comply with applicable laws and regulations
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+  Policy for the Llama Materials (available at [https://www.llama.com/llama4/use-policy](https://www.llama.com/llama4/use-policy)),
+  which is hereby incorporated by reference into this Agreement.        2\. **Additional
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+
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+  AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES
+  OF ANY KIND, AND META DISCLAIMS ALL WARRANTIES OF ANY KIND, BOTH EXPRESS AND IMPLIED,
+  INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY,
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+  5\. **Intellectual Property**.
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+  a. No trademark licenses are granted under this Agreement, and in connection with
+  the Llama Materials, neither Meta nor Licensee may use any name or mark owned by
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+  will comply with Meta’s brand guidelines (currently accessible at [https://about.meta.com/brand/resources/meta/company-brand/](https://about.meta.com/brand/resources/meta/company-brand/)[)](https://en.facebookbrand.com/).
+  All goodwill arising out of your use of the Mark will inure to the benefit of Meta.
+
+  b. Subject to Meta’s ownership of Llama Materials and derivatives made by or for
+  Meta, with respect to any derivative works and modifications of the Llama Materials
+  that are made by you, as between you and Meta, you are and will be the owner of
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+
+  c. If you institute litigation or other proceedings against Meta or any entity (including
+  a cross-claim or counterclaim in a lawsuit) alleging that the Llama Materials or
+  Llama 4 outputs or results, or any portion of any of the foregoing, constitutes
+  infringement of intellectual property or other rights owned or licensable by you,
+  then any licenses granted to you under this Agreement shall terminate as of the
+  date such litigation or claim is filed or instituted. You will indemnify and hold
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+  6\. **Term and Termination**. The term of this Agreement will commence upon your
+  acceptance of this Agreement or access to the Llama Materials and will continue
+  in full force and effect until terminated in accordance with the terms and conditions
+  herein. Meta may terminate this Agreement if you are in breach of any term or condition
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+  this Agreement. 
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+  7\. **Governing Law and Jurisdiction**. This Agreement will be governed and construed
+  under the laws of the State of California without regard to choice of law principles,
+  and the UN Convention on Contracts for the International Sale of Goods does not
+  apply to this Agreement. The courts of California shall have exclusive jurisdiction
+  of any dispute arising out of this Agreement.'
+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
+extra_gated_heading: Please be sure to provide your full legal name, date of birth,
+  and full organization name with all corporate identifiers. Avoid the use of acronyms
+  and special characters. Failure to follow these instructions may prevent you from
+  accessing this model and others on Hugging Face. You will not have the ability to
+  edit this form after submission, so please ensure all information is accurate.
+license: other
+license_name: llama4
+---
+
+# mlx-community/Llama-4-Scout-17B-16E-Instruct-4bit
+This model was converted to MLX format from [`meta-llama/Llama-4-Scout-17B-16E-Instruct`]() using mlx-vlm version **0.1.21**.
+Refer to the [original model card](https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E-Instruct) for more details on the model.
+## Use with mlx
+
+```bash
+pip install -U mlx-vlm
+```
+
+```bash
+python -m mlx_vlm.generate --model mlx-community/Llama-4-Scout-17B-16E-Instruct-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
+```

chat_template.json

@@ -0,0 +1,3 @@
+{
+  "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n    {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n    {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n    {%- if strftime_now is defined %}\n        {%- set date_string = strftime_now(\"%d %b %Y\") %}\n    {%- else %}\n        {%- set date_string = \"26 Jul 2024\" %}\n    {%- endif %}\n{%- endif %}\n{%- if not tools is defined %}\n    {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}    \n    {%- if messages[0]['content'] is string %}\n        {%- set system_message = messages[0]['content']|trim %}\n    {%- else %}\n        {#- FIXME: The processor requires an array, always. #}\n        {%- set system_message = messages[0]['content'][0]['text']|trim %}\n    {%- endif %}\n    {%- set messages = messages[1:] %}\n    {%- set user_supplied_system_message = true %}\n{%- else %}\n    {%- set system_message = \"\" %}\n    {%- set user_supplied_system_message = false %}\n{%- endif %}\n\n{#- System message if the user supplied one #}\n{%- if user_supplied_system_message %}\n    {{- \"<|header_start|>system<|header_end|>\\n\\n\" }}\n    {%- if tools is not none %}\n        {{- \"Environment: ipython\\n\" }}\n    {%- endif %}\n    {%- if tools is not none and not tools_in_user_message %}\n        {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n        {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n        {{- \"Do not use variables.\\n\\n\" }}\n        {%- for t in tools %}\n            {{- t | tojson(indent=4) }}\n            {{- \"\\n\\n\" }}\n        {%- endfor %}\n    {%- endif %}\n    {{- system_message }}\n    {{- \"<|eot|>\" }}\n{%- endif %}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n    {#- Extract the first user message so we can plug it in here #}\n    {%- if messages | length != 0 %}\n        {%- set first_user_message = messages[0]['content']|trim %}\n        {%- set messages = messages[1:] %}\n    {%- else %}\n        {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n    {{- '<|header_start|>user<|header_end|>\\n\\n' -}}\n    {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n    {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n    {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n    {{- \"Do not use variables.\\n\\n\" }}\n    {%- for t in tools %}\n        {{- t | tojson(indent=4) }}\n        {{- \"\\n\\n\" }}\n    {%- endfor %}\n    {{- first_user_message + \"<|eot|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n    {{- '<|header_start|>' + message['role'] + '<|header_end|>\\n\\n' }}\n        {%- if message['content'] is string %}\n            {{- message['content'] }}\n        {%- else %}\n            {%- for content in message['content'] %}\n                {%- if content['type'] == 'image' %}\n                    {{- '<|image|>' }}\n                {%- elif content['type'] == 'text' %}\n                    {{- content['text'] }}\n                {%- endif %}\n            {%- endfor %}\n        {%- endif %}\n        {{- \"<|eot|>\" }}\n    {%- elif 'tool_calls' in message and message.tool_calls|length > 0 %}\n       {{- '<|header_start|>assistant<|header_end|>\\n\\n' -}}\n       {{- '<|python_start|>' }}\n        {%- if message['content'] is string %}\n            {{- message['content'] }}\n        {%- else %}\n            {%- for content in message['content'] %}\n                {%- if content['type'] == 'image' %}\n                    {{- '<|image|>' }}\n                {%- elif content['type'] == 'text' %}\n                    {{- content['text'] }}\n                {%- endif %}\n            {%- endfor %}\n        {%- endif %}\n       {{- '<|python_end|>' }}\n        {%- for tool_call in message.tool_calls %}\n           {{- '{\"name\": \"' + tool_call.function.name + '\", ' }}\n           {{- '\"parameters\": ' }}\n           {{- tool_call.function.arguments | tojson }}\n           {{- \"}\" }}\n        {%- endfor %}\n       {{- \"<|eot|>\" }}\n    {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n        {{- \"<|header_start|>ipython<|header_end|>\\n\\n\" }}\n        {%- if message.content is mapping or message.content is iterable %}\n            {{- message.content | tojson }}\n        {%- else %}\n            {{- message.content }}\n        {%- endif %}\n        {{- \"<|eot|>\" }}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|header_start|>assistant<|header_end|>\\n\\n' }}\n{%- endif %}\n"
+}

config.json

@@ -0,0 +1,360 @@
+{
+    "_attn_implementation_autoset": false,
+    "add_cross_attention": false,
+    "architectures": [
+        "Llama4ForConditionalGeneration"
+    ],
+    "bad_words_ids": null,
+    "begin_suppress_tokens": null,
+    "boi_token_index": 200080,
+    "bos_token_id": null,
+    "chunk_size_feed_forward": 0,
+    "cross_attention_hidden_size": null,
+    "decoder_start_token_id": null,
+    "diversity_penalty": 0.0,
+    "do_sample": false,
+    "early_stopping": false,
+    "encoder_no_repeat_ngram_size": 0,
+    "eoi_token_index": 200081,
+    "eos_token_id": null,
+    "exponential_decay_length_penalty": null,
+    "finetuning_task": null,
+    "forced_bos_token_id": null,
+    "forced_eos_token_id": null,
+    "id2label": {
+        "0": "LABEL_0",
+        "1": "LABEL_1"
+    },
+    "image_token_index": 200092,
+    "is_decoder": false,
+    "is_encoder_decoder": false,
+    "label2id": {
+        "LABEL_0": 0,
+        "LABEL_1": 1
+    },
+    "length_penalty": 1.0,
+    "max_length": 20,
+    "min_length": 0,
+    "model_type": "llama4",
+    "no_repeat_ngram_size": 0,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_return_sequences": 1,
+    "output_attentions": false,
+    "output_hidden_states": false,
+    "output_scores": false,
+    "pad_token_id": null,
+    "prefix": null,
+    "problem_type": null,
+    "pruned_heads": {},
+    "quantization": {
+        "group_size": 64,
+        "bits": 4
+    },
+    "remove_invalid_values": false,
+    "repetition_penalty": 1.0,
+    "return_dict": true,
+    "return_dict_in_generate": false,
+    "sep_token_id": null,
+    "suppress_tokens": null,
+    "task_specific_params": null,
+    "temperature": 1.0,
+    "text_config": {
+        "return_dict": true,
+        "output_hidden_states": false,
+        "output_attentions": false,
+        "torchscript": false,
+        "torch_dtype": "bfloat16",
+        "use_bfloat16": false,
+        "tf_legacy_loss": false,
+        "pruned_heads": {},
+        "tie_word_embeddings": false,
+        "chunk_size_feed_forward": 0,
+        "is_encoder_decoder": false,
+        "is_decoder": false,
+        "cross_attention_hidden_size": null,
+        "add_cross_attention": false,
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+        "max_length": 20,
+        "min_length": 0,
+        "do_sample": false,
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+        "num_beams": 1,
+        "num_beam_groups": 1,
+        "diversity_penalty": 0.0,
+        "temperature": 1.0,
+        "top_k": 50,
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+        "typical_p": 1.0,
+        "repetition_penalty": 1.0,
+        "length_penalty": 1.0,
+        "no_repeat_ngram_size": 0,
+        "encoder_no_repeat_ngram_size": 0,
+        "bad_words_ids": null,
+        "num_return_sequences": 1,
+        "output_scores": false,
+        "return_dict_in_generate": false,
+        "forced_bos_token_id": null,
+        "forced_eos_token_id": null,
+        "remove_invalid_values": false,
+        "exponential_decay_length_penalty": null,
+        "suppress_tokens": null,
+        "begin_suppress_tokens": null,
+        "architectures": null,
+        "finetuning_task": null,
+        "id2label": {
+            "0": "LABEL_0",
+            "1": "LABEL_1"
+        },
+        "label2id": {
+            "LABEL_0": 0,
+            "LABEL_1": 1
+        },
+        "tokenizer_class": null,
+        "prefix": null,
+        "bos_token_id": 200000,
+        "pad_token_id": 200018,
+        "eos_token_id": [
+            200001,
+            200007,
+            200008
+        ],
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+        "task_specific_params": null,
+        "problem_type": null,
+        "_name_or_path": "",
+        "_attn_implementation_autoset": true,
+        "attention_bias": false,
+        "for_llm_compressor": false,
+        "model_type": "llama4_text",
+        "attn_temperature_tuning": 4,
+        "attn_scale": 0.1,
+        "floor_scale": 8192,
+        "vocab_size": 202048,
+        "max_position_embeddings": 10485760,
+        "hidden_size": 5120,
+        "intermediate_size": 8192,
+        "intermediate_size_mlp": 16384,
+        "num_hidden_layers": 48,
+        "num_attention_heads": 40,
+        "rope_scaling": {
+            "factor": 8.0,
+            "high_freq_factor": 4.0,
+            "low_freq_factor": 1.0,
+            "original_max_position_embeddings": 8192,
+            "rope_type": "llama3"
+        },
+        "num_key_value_heads": 8,
+        "hidden_act": "silu",
+        "initializer_range": 0.02,
+        "rms_norm_eps": 1e-05,
+        "use_cache": true,
+        "rope_theta": 500000.0,
+        "attention_dropout": 0.0,
+        "head_dim": 128,
+        "use_qk_norm": true,
+        "num_experts_per_tok": 1,
+        "num_local_experts": 16,
+        "output_router_logits": false,
+        "router_aux_loss_coef": 0.001,
+        "router_jitter_noise": 0.0,
+        "no_rope_layers": [
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+        "interleave_moe_layer_step": 1,
+        "moe_layers": [
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+        "attention_chunk_size": 8192
+    },
+    "tf_legacy_loss": false,
+    "tie_encoder_decoder": false,
+    "tie_word_embeddings": false,
+    "tokenizer_class": null,
+    "top_k": 50,
+    "top_p": 1.0,
+    "torch_dtype": "bfloat16",
+    "torchscript": false,
+    "transformers_version": "4.51.0",
+    "typical_p": 1.0,
+    "use_bfloat16": false,
+    "vision_config": {
+        "hidden_size": 1408,
+        "hidden_act": "gelu",
+        "num_hidden_layers": 34,
+        "num_channels": 3,
+        "intermediate_size": 5632,
+        "image_size": 336,
+        "vision_output_dim": 4096,
+        "patch_size": 14,
+        "norm_eps": 1e-05,
+        "num_attention_heads": 16,
+        "initializer_range": 0.02,
+        "pixel_shuffle_ratio": 0.5,
+        "projector_input_dim": 4096,
+        "projector_output_dim": 4096,
+        "multi_modal_projector_bias": false,
+        "projector_dropout": 0.0,
+        "attention_dropout": 0.0,
+        "vision_feature_layer": -1,
+        "vision_feature_select_strategy": "default",
+        "rope_theta": 10000,
+        "return_dict": true,
+        "output_hidden_states": false,
+        "output_attentions": false,
+        "torchscript": false,
+        "torch_dtype": null,
+        "use_bfloat16": false,
+        "tf_legacy_loss": false,
+        "pruned_heads": {},
+        "tie_word_embeddings": true,
+        "chunk_size_feed_forward": 0,
+        "is_encoder_decoder": false,
+        "is_decoder": false,
+        "cross_attention_hidden_size": null,
+        "add_cross_attention": false,
+        "tie_encoder_decoder": false,
+        "max_length": 20,
+        "min_length": 0,
+        "do_sample": false,
+        "early_stopping": false,
+        "num_beams": 1,
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