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Browse files- README.md +181 -31
- chat_template.jinja +109 -0
- config.json +48 -0
- generation_config.json +12 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +751 -0
- tokenizer.json +3 -0
- tokenizer_config.json +13 -0
README.md
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---
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license: llama3.1
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datasets:
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- justindal/leetcode-python-dataset
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base_model:
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- justindal/llama3.1-8b-instruct-mlx-8bit
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- meta-llama/Llama-3.1-8B-Instruct
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pipeline_tag: text-generation
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library_name: mlx
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tags:
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- meta
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- llama
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- leetcode
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language:
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- en
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- de
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- hi
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- es
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---
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# Model Information
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LoRA fine-tuned variant of `justindal/llama3.1-8b-instruct-mlx-8bit` for LeetCode-style Python solution generation.
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## Use with Python
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```python
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from mlx_lm import load, generate
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model, tokenizer = load("justindal/llama3.1-8b-instruct-mlx-8bit-leetcode-lora")
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prompt = "Given an integer array nums, return indices of two numbers that add up to target."
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response = generate(model, tokenizer, prompt=prompt, max_tokens=512)
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print(response)
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```
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## Base Model
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This model is a variant of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct).
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---
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language:
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- en
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- de
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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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base_model: justindal/llama3.1-8b-instruct-mlx-8bit
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pipeline_tag: text-generation
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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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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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\ use, reproduction, distribution and modification of the Llama Materials set forth\
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\ herein.\n\"Documentation\" means the specifications, manuals and documentation\
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\ accompanying Llama 3.1 distributed by Meta at https://llama.meta.com/doc/overview.\n\
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+
\"Licensee\" or \"you\" means you, or your employer or any other person or entity\
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\ (if you are entering into this Agreement on such person or entity’s behalf), of\
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\ the age required under applicable laws, rules or regulations to provide legal\
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\ consent and that has legal authority to bind your employer or such other person\
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\ or entity if you are entering in this Agreement on their behalf.\n\"Llama 3.1\"\
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\ means the foundational large language models and software and algorithms, including\
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\ machine-learning model code, trained model weights, inference-enabling code, training-enabling\
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\ code, fine-tuning enabling code and other elements of the foregoing distributed\
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\ by Meta at https://llama.meta.com/llama-downloads.\n\"Llama Materials\" means,\
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\ collectively, Meta’s proprietary Llama 3.1 and Documentation (and any portion\
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\ to this Agreement. The courts of California shall have exclusive jurisdiction\
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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 children, including the solicitation, creation, acquisition, or dissemination\
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\ of child exploitative content or failure to report Child Sexual Abuse Material\n\
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\ but not limited to, financial, legal, medical/health, or related professional\
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\ or other sensitive personal or private information about individuals without rights\
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\ and consents required by applicable laws\n 7. Engage in or facilitate any action\
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\ or generate any content that infringes, misappropriates, or otherwise violates\
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\ using the Llama Materials\n 8. Create, generate, or facilitate the creation\
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\ of malicious code, malware, computer viruses or do anything else that could disable,\
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\ or appearance of a website or computer system\n2. Engage in, promote, incite,\
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\ content intended to incite or promote violence, abuse, or any infliction of bodily\
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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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\ or legal right\n 5. Representing that the use of Llama 3.1 or outputs are human-generated\n\
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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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\ the model: [https://github.com/meta-llama/llama-models/issues](https://github.com/meta-llama/llama-models/issues)\n\
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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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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
|
| 186 |
+
with the Meta Privacy Policy
|
| 187 |
+
: checkbox
|
| 188 |
+
extra_gated_description: The information you provide will be collected, stored, processed
|
| 189 |
+
and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
|
| 190 |
+
extra_gated_button_content: Submit
|
| 191 |
+
library_name: mlx
|
| 192 |
---
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,109 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
| 1 |
+
{{- bos_token }}
|
| 2 |
+
{%- if custom_tools is defined %}
|
| 3 |
+
{%- set tools = custom_tools %}
|
| 4 |
+
{%- endif %}
|
| 5 |
+
{%- if not tools_in_user_message is defined %}
|
| 6 |
+
{%- set tools_in_user_message = true %}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{%- if not date_string is defined %}
|
| 9 |
+
{%- set date_string = "26 Jul 2024" %}
|
| 10 |
+
{%- endif %}
|
| 11 |
+
{%- if not tools is defined %}
|
| 12 |
+
{%- set tools = none %}
|
| 13 |
+
{%- endif %}
|
| 14 |
+
|
| 15 |
+
{#- This block extracts the system message, so we can slot it into the right place. #}
|
| 16 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 17 |
+
{%- set system_message = messages[0]['content']|trim %}
|
| 18 |
+
{%- set messages = messages[1:] %}
|
| 19 |
+
{%- else %}
|
| 20 |
+
{%- set system_message = "" %}
|
| 21 |
+
{%- endif %}
|
| 22 |
+
|
| 23 |
+
{#- System message + builtin tools #}
|
| 24 |
+
{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
|
| 25 |
+
{%- if builtin_tools is defined or tools is not none %}
|
| 26 |
+
{{- "Environment: ipython\n" }}
|
| 27 |
+
{%- endif %}
|
| 28 |
+
{%- if builtin_tools is defined %}
|
| 29 |
+
{{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "\n\n"}}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{{- "Cutting Knowledge Date: December 2023\n" }}
|
| 32 |
+
{{- "Today Date: " + date_string + "\n\n" }}
|
| 33 |
+
{%- if tools is not none and not tools_in_user_message %}
|
| 34 |
+
{{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
|
| 35 |
+
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
|
| 36 |
+
{{- "Do not use variables.\n\n" }}
|
| 37 |
+
{%- for t in tools %}
|
| 38 |
+
{{- t | tojson(indent=4) }}
|
| 39 |
+
{{- "\n\n" }}
|
| 40 |
+
{%- endfor %}
|
| 41 |
+
{%- endif %}
|
| 42 |
+
{{- system_message }}
|
| 43 |
+
{{- "<|eot_id|>" }}
|
| 44 |
+
|
| 45 |
+
{#- Custom tools are passed in a user message with some extra guidance #}
|
| 46 |
+
{%- if tools_in_user_message and not tools is none %}
|
| 47 |
+
{#- Extract the first user message so we can plug it in here #}
|
| 48 |
+
{%- if messages | length != 0 %}
|
| 49 |
+
{%- set first_user_message = messages[0]['content']|trim %}
|
| 50 |
+
{%- set messages = messages[1:] %}
|
| 51 |
+
{%- else %}
|
| 52 |
+
{{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
|
| 53 |
+
{%- endif %}
|
| 54 |
+
{{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
|
| 55 |
+
{{- "Given the following functions, please respond with a JSON for a function call " }}
|
| 56 |
+
{{- "with its proper arguments that best answers the given prompt.\n\n" }}
|
| 57 |
+
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
|
| 58 |
+
{{- "Do not use variables.\n\n" }}
|
| 59 |
+
{%- for t in tools %}
|
| 60 |
+
{{- t | tojson(indent=4) }}
|
| 61 |
+
{{- "\n\n" }}
|
| 62 |
+
{%- endfor %}
|
| 63 |
+
{{- first_user_message + "<|eot_id|>"}}
|
| 64 |
+
{%- endif %}
|
| 65 |
+
|
| 66 |
+
{%- for message in messages %}
|
| 67 |
+
{%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
|
| 68 |
+
{{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
|
| 69 |
+
{%- elif 'tool_calls' in message %}
|
| 70 |
+
{%- if not message.tool_calls|length == 1 %}
|
| 71 |
+
{{- raise_exception("This model only supports single tool-calls at once!") }}
|
| 72 |
+
{%- endif %}
|
| 73 |
+
{%- set tool_call = message.tool_calls[0].function %}
|
| 74 |
+
{%- if builtin_tools is defined and tool_call.name in builtin_tools %}
|
| 75 |
+
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
|
| 76 |
+
{{- "<|python_tag|>" + tool_call.name + ".call(" }}
|
| 77 |
+
{%- for arg_name, arg_val in tool_call.arguments | items %}
|
| 78 |
+
{{- arg_name + '="' + arg_val + '"' }}
|
| 79 |
+
{%- if not loop.last %}
|
| 80 |
+
{{- ", " }}
|
| 81 |
+
{%- endif %}
|
| 82 |
+
{%- endfor %}
|
| 83 |
+
{{- ")" }}
|
| 84 |
+
{%- else %}
|
| 85 |
+
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
|
| 86 |
+
{{- '{"name": "' + tool_call.name + '", ' }}
|
| 87 |
+
{{- '"parameters": ' }}
|
| 88 |
+
{{- tool_call.arguments | tojson }}
|
| 89 |
+
{{- "}" }}
|
| 90 |
+
{%- endif %}
|
| 91 |
+
{%- if builtin_tools is defined %}
|
| 92 |
+
{#- This means we're in ipython mode #}
|
| 93 |
+
{{- "<|eom_id|>" }}
|
| 94 |
+
{%- else %}
|
| 95 |
+
{{- "<|eot_id|>" }}
|
| 96 |
+
{%- endif %}
|
| 97 |
+
{%- elif message.role == "tool" or message.role == "ipython" %}
|
| 98 |
+
{{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
|
| 99 |
+
{%- if message.content is mapping or message.content is iterable %}
|
| 100 |
+
{{- message.content | tojson }}
|
| 101 |
+
{%- else %}
|
| 102 |
+
{{- message.content }}
|
| 103 |
+
{%- endif %}
|
| 104 |
+
{{- "<|eot_id|>" }}
|
| 105 |
+
{%- endif %}
|
| 106 |
+
{%- endfor %}
|
| 107 |
+
{%- if add_generation_prompt %}
|
| 108 |
+
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
|
| 109 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"LlamaForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 128000,
|
| 8 |
+
"eos_token_id": [
|
| 9 |
+
128001,
|
| 10 |
+
128008,
|
| 11 |
+
128009
|
| 12 |
+
],
|
| 13 |
+
"hidden_act": "silu",
|
| 14 |
+
"hidden_size": 4096,
|
| 15 |
+
"initializer_range": 0.02,
|
| 16 |
+
"intermediate_size": 14336,
|
| 17 |
+
"max_position_embeddings": 131072,
|
| 18 |
+
"mlp_bias": false,
|
| 19 |
+
"model_type": "llama",
|
| 20 |
+
"num_attention_heads": 32,
|
| 21 |
+
"num_hidden_layers": 32,
|
| 22 |
+
"num_key_value_heads": 8,
|
| 23 |
+
"pretraining_tp": 1,
|
| 24 |
+
"quantization": {
|
| 25 |
+
"group_size": 32,
|
| 26 |
+
"bits": 8,
|
| 27 |
+
"mode": "affine"
|
| 28 |
+
},
|
| 29 |
+
"quantization_config": {
|
| 30 |
+
"group_size": 32,
|
| 31 |
+
"bits": 8,
|
| 32 |
+
"mode": "affine"
|
| 33 |
+
},
|
| 34 |
+
"rms_norm_eps": 1e-05,
|
| 35 |
+
"rope_scaling": {
|
| 36 |
+
"factor": 8.0,
|
| 37 |
+
"low_freq_factor": 1.0,
|
| 38 |
+
"high_freq_factor": 4.0,
|
| 39 |
+
"original_max_position_embeddings": 8192,
|
| 40 |
+
"rope_type": "llama3"
|
| 41 |
+
},
|
| 42 |
+
"rope_theta": 500000.0,
|
| 43 |
+
"tie_word_embeddings": false,
|
| 44 |
+
"torch_dtype": "bfloat16",
|
| 45 |
+
"transformers_version": "4.42.3",
|
| 46 |
+
"use_cache": true,
|
| 47 |
+
"vocab_size": 128256
|
| 48 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 128000,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
128001,
|
| 6 |
+
128008,
|
| 7 |
+
128009
|
| 8 |
+
],
|
| 9 |
+
"temperature": 0.6,
|
| 10 |
+
"top_p": 0.9,
|
| 11 |
+
"transformers_version": "4.42.3"
|
| 12 |
+
}
|
model-00001-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:96b0b212a9eea51fbfdcb1eb2d33ef2a6abe7f281368ce834d8277dc7315efa1
|
| 3 |
+
size 5366582299
|
model-00002-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c0c8fa96f492977787d8d779b055feb40bbed79f995536a17bdf5b548adf097d
|
| 3 |
+
size 3667779901
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,751 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
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|
|
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|
|
|
|
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|
|
|
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|
|
|
|
|
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|
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|
|
|
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|
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|
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version https://git-lfs.github.com/spec/v1
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tokenizer_config.json
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