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README.md CHANGED
@@ -1,18 +1,211 @@
1
  ---
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- base_model: unsloth/Llama-3.2-1B-Instruct
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  language:
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  - en
 
 
 
 
 
 
 
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  library_name: transformers
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- license: llama3.2
7
  tags:
8
- - llama-3
9
- - llama
10
- - meta
11
  - facebook
12
- - unsloth
13
- - transformers
 
 
14
  - TensorBlock
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  - GGUF
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <div style="width: auto; margin-left: auto; margin-right: auto">
@@ -26,13 +219,12 @@ tags:
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  </div>
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  </div>
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- ## unsloth/Llama-3.2-1B-Instruct - GGUF
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31
- This repo contains GGUF format model files for [unsloth/Llama-3.2-1B-Instruct](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct).
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  The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
34
 
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-
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  <div style="text-align: left; margin: 20px 0;">
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  <a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
38
  Run them on the TensorBlock client using your local machine ↗
@@ -41,12 +233,11 @@ The files were quantized using machines provided by [TensorBlock](https://tensor
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  ## Prompt template
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-
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  ```
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  <|begin_of_text|><|start_header_id|>system<|end_header_id|>
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  Cutting Knowledge Date: December 2023
49
- Today Date: 08 Nov 2024
50
 
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  {system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
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@@ -57,18 +248,18 @@ Today Date: 08 Nov 2024
57
 
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  | Filename | Quant type | File Size | Description |
59
  | -------- | ---------- | --------- | ----------- |
60
- | [Llama-3.2-1B-Instruct-Q2_K.gguf](https://huggingface.co/tensorblock/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q2_K.gguf) | Q2_K | 0.541 GB | smallest, significant quality loss - not recommended for most purposes |
61
- | [Llama-3.2-1B-Instruct-Q3_K_S.gguf](https://huggingface.co/tensorblock/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q3_K_S.gguf) | Q3_K_S | 0.598 GB | very small, high quality loss |
62
- | [Llama-3.2-1B-Instruct-Q3_K_M.gguf](https://huggingface.co/tensorblock/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q3_K_M.gguf) | Q3_K_M | 0.643 GB | very small, high quality loss |
63
- | [Llama-3.2-1B-Instruct-Q3_K_L.gguf](https://huggingface.co/tensorblock/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q3_K_L.gguf) | Q3_K_L | 0.682 GB | small, substantial quality loss |
64
- | [Llama-3.2-1B-Instruct-Q4_0.gguf](https://huggingface.co/tensorblock/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q4_0.gguf) | Q4_0 | 0.718 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
65
- | [Llama-3.2-1B-Instruct-Q4_K_S.gguf](https://huggingface.co/tensorblock/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q4_K_S.gguf) | Q4_K_S | 0.722 GB | small, greater quality loss |
66
- | [Llama-3.2-1B-Instruct-Q4_K_M.gguf](https://huggingface.co/tensorblock/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q4_K_M.gguf) | Q4_K_M | 0.752 GB | medium, balanced quality - recommended |
67
- | [Llama-3.2-1B-Instruct-Q5_0.gguf](https://huggingface.co/tensorblock/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q5_0.gguf) | Q5_0 | 0.831 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
68
- | [Llama-3.2-1B-Instruct-Q5_K_S.gguf](https://huggingface.co/tensorblock/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q5_K_S.gguf) | Q5_K_S | 0.831 GB | large, low quality loss - recommended |
69
- | [Llama-3.2-1B-Instruct-Q5_K_M.gguf](https://huggingface.co/tensorblock/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q5_K_M.gguf) | Q5_K_M | 0.849 GB | large, very low quality loss - recommended |
70
- | [Llama-3.2-1B-Instruct-Q6_K.gguf](https://huggingface.co/tensorblock/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q6_K.gguf) | Q6_K | 0.952 GB | very large, extremely low quality loss |
71
- | [Llama-3.2-1B-Instruct-Q8_0.gguf](https://huggingface.co/tensorblock/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q8_0.gguf) | Q8_0 | 1.230 GB | very large, extremely low quality loss - not recommended |
72
 
73
 
74
  ## Downloading instruction
 
1
  ---
 
2
  language:
3
  - en
4
+ - de
5
+ - fr
6
+ - it
7
+ - pt
8
+ - hi
9
+ - es
10
+ - th
11
  library_name: transformers
12
+ pipeline_tag: text-generation
13
  tags:
 
 
 
14
  - facebook
15
+ - meta
16
+ - pytorch
17
+ - llama
18
+ - llama-3
19
  - TensorBlock
20
  - GGUF
21
+ license: llama3.2
22
+ extra_gated_prompt: "### LLAMA 3.2 COMMUNITY LICENSE AGREEMENT\n\nLlama 3.2 Version\
23
+ \ Release Date: September 25, 2024\n\n“Agreement” means the terms and conditions\
24
+ \ for use, reproduction, distribution and modification of the Llama Materials set\
25
+ \ forth herein.\n\n“Documentation” means the specifications, manuals and documentation\
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+ \ accompanying Llama 3.2 distributed by Meta at https://llama.meta.com/doc/overview.\n\
27
+ \n“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),\
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+ \ of 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\n“Llama 3.2”\
32
+ \ means the foundational large language models and software and algorithms, including\
33
+ \ machine-learning model code, trained model weights, inference-enabling code, training-enabling\
34
+ \ code, fine-tuning enabling code and other elements of the foregoing distributed\
35
+ \ by Meta at https://www.llama.com/llama-downloads.\n\n“Llama Materials” means,\
36
+ \ collectively, Meta’s proprietary Llama 3.2 and Documentation (and any portion\
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+ \ thereof) made available under this Agreement.\n\n“Meta” or “we” means Meta Platforms\
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+ \ Ireland Limited (if you are located in or, if you are an entity, your principal\
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+ \ place of business is in the EEA or Switzerland) and Meta Platforms, Inc. (if\
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+ \ you are located outside of the EEA or Switzerland). \n\nBy clicking “I Accept”\
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+ \ below or by using or distributing any portion or element of the Llama Materials,\
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+ \ you agree to be bound by this Agreement.\n\n1. License Rights and Redistribution.\n\
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+ a. Grant of Rights. You are granted a non-exclusive, worldwide, non-transferable\
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+ \ and royalty-free limited license under Meta’s intellectual property or other rights\
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+ \ owned by Meta embodied in the Llama Materials to use, reproduce, distribute,\
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+ \ copy, create derivative works of, and make modifications to the Llama Materials.\
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+ \ \nb. Redistribution and Use. \ni. If you distribute or make available the Llama\
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+ \ Materials (or any derivative works thereof), or a product or service (including\
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+ \ another AI model) that contains any of them, you shall (A) provide a copy of this\
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+ \ Agreement with any such Llama Materials; and (B) prominently display “Built with\
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+ \ Llama” on a related website, user interface, blogpost, about page, or product\
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+ \ documentation. If you use the Llama Materials or any outputs or results of the\
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+ \ Llama Materials to create, train, fine tune, or otherwise improve an AI model,\
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+ \ which is distributed or made available, you shall also include “Llama” at the\
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+ \ beginning of any such AI model name.\nii. If you receive Llama Materials, or any\
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+ \ derivative works thereof, from a Licensee as part of an integrated end user product,\
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+ \ then Section 2 of this Agreement will not apply to you. \niii. You must retain\
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+ \ in all copies of the Llama Materials that you distribute the following attribution\
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+ \ notice within a “Notice” text file distributed as a part of such copies: “Llama\
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+ \ 3.2 is licensed under the Llama 3.2 Community License, Copyright © Meta Platforms,\
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+ \ Inc. All Rights Reserved.”\niv. Your use of the Llama Materials must comply with\
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+ \ applicable laws and regulations (including trade compliance laws and regulations)\
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+ \ and adhere to the Acceptable Use Policy for the Llama Materials (available at\
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+ \ https://www.llama.com/llama3_2/use-policy), which is hereby incorporated by reference\
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+ \ into this Agreement.\n \n2. Additional Commercial Terms. If, on the Llama 3.2\
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+ \ version release date, the monthly active users of the products or services made\
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+ \ available by or for Licensee, or Licensee’s affiliates, is greater than 700 million\
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+ \ monthly active users in the preceding calendar month, you must request a license\
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+ \ from Meta, which Meta may grant to you in its sole discretion, and you are not\
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+ \ authorized to exercise any of the rights under this Agreement unless or until\
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+ \ Meta otherwise expressly grants you such rights.\n3. Disclaimer of Warranty. UNLESS\
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+ \ REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS THEREFROM\
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+ \ ARE PROVIDED ON AN “AS IS” BASIS, WITHOUT WARRANTIES OF ANY KIND, AND META DISCLAIMS\
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+ \ USE OF THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS.\n4. Limitation of Liability.\
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+ \ BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING.\n5. Intellectual Property.\n\
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+ a. No trademark licenses are granted under this Agreement, and in connection with\
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+ \ the Llama Materials, neither Meta nor Licensee may use any name or mark owned\
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+ \ for reasonable and customary use in describing and redistributing the Llama Materials\
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+ \ or as set forth in this Section 5(a). Meta hereby grants you a license to use\
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+ \ “Llama” (the “Mark”) solely as required to comply with the last sentence of Section\
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+ \ 1.b.i. You will comply with Meta’s brand guidelines (currently accessible at\
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+ \ https://about.meta.com/brand/resources/meta/company-brand/). All goodwill arising\
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+ \ out of your use of the Mark will inure to the benefit of Meta.\nb. Subject to\
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+ \ Meta’s ownership of Llama Materials and derivatives made by or for Meta, with\
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+ \ respect to any derivative works and modifications of the Llama Materials that\
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+ \ are made by you, as between you and Meta, you are and will be the owner of such\
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+ \ derivative works and modifications.\nc. If you institute litigation or other proceedings\
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+ \ against Meta or any entity (including a cross-claim or counterclaim in a lawsuit)\
98
+ \ alleging that the Llama Materials or Llama 3.2 outputs or results, or any portion\
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+ \ of any of the foregoing, constitutes infringement of intellectual property or\
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+ \ other rights owned or licensable by you, then any licenses granted to you under\
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+ \ this Agreement shall terminate as of the date such litigation or claim is filed\
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+ \ or instituted. You will indemnify and hold harmless Meta from and against any\
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+ \ claim by any third party arising out of or related to your use or distribution\
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+ \ of the Llama Materials.\n6. Term and Termination. The term of this Agreement will\
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+ \ commence upon your acceptance of this Agreement or access to the Llama Materials\
106
+ \ and will continue in full force and effect until terminated in accordance with\
107
+ \ the terms and conditions herein. Meta may terminate this Agreement if you are\
108
+ \ in breach of any term or condition of this Agreement. Upon termination of this\
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+ \ Agreement, you shall delete and cease use of the Llama Materials. Sections 3,\
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+ \ 4 and 7 shall survive the termination of this Agreement. \n7. Governing Law and\
111
+ \ Jurisdiction. This Agreement will be governed and construed under the laws of\
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+ \ the State of California without regard to choice of law principles, and the UN\
113
+ \ Convention on Contracts for the International Sale of Goods does not apply to\
114
+ \ this Agreement. The courts of California shall have exclusive jurisdiction of\
115
+ \ any dispute arising out of this Agreement. \n### Llama 3.2 Acceptable Use Policy\n\
116
+ Meta is committed to promoting safe and fair use of its tools and features, including\
117
+ \ Llama 3.2. If you access or use Llama 3.2, you agree to this Acceptable Use Policy\
118
+ \ (“**Policy**”). The most recent copy of this policy can be found at [https://www.llama.com/llama3_2/use-policy](https://www.llama.com/llama3_2/use-policy).\n\
119
+ #### Prohibited Uses\nWe want everyone to use Llama 3.2 safely and responsibly.\
120
+ \ You agree you will not use, or allow others to use, Llama 3.2 to:\n1. Violate\
121
+ \ the law or others’ rights, including to:\n 1. Engage in, promote, generate,\
122
+ \ contribute to, encourage, plan, incite, or further illegal or unlawful activity\
123
+ \ or content, such as:\n 1. Violence or terrorism\n 2. Exploitation\
124
+ \ or harm to children, including the solicitation, creation, acquisition, or dissemination\
125
+ \ of child exploitative content or failure to report Child Sexual Abuse Material\n\
126
+ \ 3. Human trafficking, exploitation, and sexual violence\n 4. The\
127
+ \ illegal distribution of information or materials to minors, including obscene\
128
+ \ materials, or failure to employ legally required age-gating in connection with\
129
+ \ such information or materials.\n 5. Sexual solicitation\n 6. Any\
130
+ \ other criminal activity\n 1. Engage in, promote, incite, or facilitate the\
131
+ \ harassment, abuse, threatening, or bullying of individuals or groups of individuals\n\
132
+ \ 2. Engage in, promote, incite, or facilitate discrimination or other unlawful\
133
+ \ or harmful conduct in the provision of employment, employment benefits, credit,\
134
+ \ housing, other economic benefits, or other essential goods and services\n 3.\
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+ \ Engage in the unauthorized or unlicensed practice of any profession including,\
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+ \ but not limited to, financial, legal, medical/health, or related professional\
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+ \ practices\n 4. Collect, process, disclose, generate, or infer private or sensitive\
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+ \ information about individuals, including information about individuals’ identity,\
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+ \ health, or demographic information, unless you have obtained the right to do so\
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+ \ in accordance with applicable law\n 5. Engage in or facilitate any action or\
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+ \ generate any content that infringes, misappropriates, or otherwise violates any\
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+ \ third-party rights, including the outputs or results of any products or services\
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+ \ using the Llama Materials\n 6. 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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+ \ overburden, interfere with or impair the proper working, integrity, operation\
146
+ \ or appearance of a website or computer system\n 7. Engage in any action, or\
147
+ \ facilitate any action, to intentionally circumvent or remove usage restrictions\
148
+ \ or other safety measures, or to enable functionality disabled by Meta \n2. Engage\
149
+ \ in, promote, incite, facilitate, or assist in the planning or development of activities\
150
+ \ that present a risk of death or bodily harm to individuals, including use of Llama\
151
+ \ 3.2 related to the following:\n 8. Military, warfare, nuclear industries or\
152
+ \ applications, espionage, use for materials or activities that are subject to the\
153
+ \ International Traffic Arms Regulations (ITAR) maintained by the United States\
154
+ \ Department of State or to the U.S. Biological Weapons Anti-Terrorism Act of 1989\
155
+ \ or the Chemical Weapons Convention Implementation Act of 1997\n 9. Guns and\
156
+ \ illegal weapons (including weapon development)\n 10. Illegal drugs and regulated/controlled\
157
+ \ substances\n 11. Operation of critical infrastructure, transportation technologies,\
158
+ \ or heavy machinery\n 12. Self-harm or harm to others, including suicide, cutting,\
159
+ \ and eating disorders\n 13. Any content intended to incite or promote violence,\
160
+ \ abuse, or any infliction of bodily harm to an individual\n3. Intentionally deceive\
161
+ \ or mislead others, including use of Llama 3.2 related to the following:\n 14.\
162
+ \ Generating, promoting, or furthering fraud or the creation or promotion of disinformation\n\
163
+ \ 15. Generating, promoting, or furthering defamatory content, including the\
164
+ \ creation of defamatory statements, images, or other content\n 16. Generating,\
165
+ \ promoting, or further distributing spam\n 17. Impersonating another individual\
166
+ \ without consent, authorization, or legal right\n 18. Representing that the\
167
+ \ use of Llama 3.2 or outputs are human-generated\n 19. Generating or facilitating\
168
+ \ false online engagement, including fake reviews and other means of fake online\
169
+ \ engagement \n4. Fail to appropriately disclose to end users any known dangers\
170
+ \ of your AI system 5. Interact with third party tools, models, or software designed\
171
+ \ to generate unlawful content or engage in unlawful or harmful conduct and/or represent\
172
+ \ that the outputs of such tools, models, or software are associated with Meta or\
173
+ \ Llama 3.2\n\nWith respect to any multimodal models included in Llama 3.2, the\
174
+ \ rights granted under Section 1(a) of the Llama 3.2 Community License Agreement\
175
+ \ are not being granted to you if you are an individual domiciled in, or a company\
176
+ \ with a principal place of business in, the European Union. This restriction does\
177
+ \ not apply to end users of a product or service that incorporates any such multimodal\
178
+ \ models.\n\nPlease report any violation of this Policy, software “bug,” or other\
179
+ \ problems that could lead to a violation of this Policy through one of the following\
180
+ \ 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\
181
+ * Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)\n\
182
+ * Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)\n\
183
+ * Reporting violations of the Acceptable Use Policy or unlicensed uses of Llama\
184
+ \ 3.2: LlamaUseReport@meta.com"
185
+ extra_gated_fields:
186
+ First Name: text
187
+ Last Name: text
188
+ Date of birth: date_picker
189
+ Country: country
190
+ Affiliation: text
191
+ Job title:
192
+ type: select
193
+ options:
194
+ - Student
195
+ - Research Graduate
196
+ - AI researcher
197
+ - AI developer/engineer
198
+ - Reporter
199
+ - Other
200
+ geo: ip_location
201
+ ? By clicking Submit below I accept the terms of the license and acknowledge that
202
+ the information I provide will be collected stored processed and shared in accordance
203
+ with the Meta Privacy Policy
204
+ : checkbox
205
+ extra_gated_description: The information you provide will be collected, stored, processed
206
+ and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
207
+ extra_gated_button_content: Submit
208
+ base_model: meta-llama/Llama-3.2-1B-Instruct
209
  ---
210
 
211
  <div style="width: auto; margin-left: auto; margin-right: auto">
 
219
  </div>
220
  </div>
221
 
222
+ ## meta-llama/Llama-3.2-1B-Instruct - GGUF
223
 
224
+ This repo contains GGUF format model files for [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct).
225
 
226
  The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
227
 
 
228
  <div style="text-align: left; margin: 20px 0;">
229
  <a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
230
  Run them on the TensorBlock client using your local machine ↗
 
233
 
234
  ## Prompt template
235
 
 
236
  ```
237
  <|begin_of_text|><|start_header_id|>system<|end_header_id|>
238
 
239
  Cutting Knowledge Date: December 2023
240
+ Today Date: 22 Nov 2024
241
 
242
  {system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
243
 
 
248
 
249
  | Filename | Quant type | File Size | Description |
250
  | -------- | ---------- | --------- | ----------- |
251
+ | [Llama-3.2-1B-Instruct-Q2_K.gguf](https://huggingface.co/tensorblock/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q2_K.gguf) | Q2_K | 0.581 GB | smallest, significant quality loss - not recommended for most purposes |
252
+ | [Llama-3.2-1B-Instruct-Q3_K_S.gguf](https://huggingface.co/tensorblock/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q3_K_S.gguf) | Q3_K_S | 0.642 GB | very small, high quality loss |
253
+ | [Llama-3.2-1B-Instruct-Q3_K_M.gguf](https://huggingface.co/tensorblock/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q3_K_M.gguf) | Q3_K_M | 0.691 GB | very small, high quality loss |
254
+ | [Llama-3.2-1B-Instruct-Q3_K_L.gguf](https://huggingface.co/tensorblock/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q3_K_L.gguf) | Q3_K_L | 0.733 GB | small, substantial quality loss |
255
+ | [Llama-3.2-1B-Instruct-Q4_0.gguf](https://huggingface.co/tensorblock/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q4_0.gguf) | Q4_0 | 0.771 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
256
+ | [Llama-3.2-1B-Instruct-Q4_K_S.gguf](https://huggingface.co/tensorblock/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q4_K_S.gguf) | Q4_K_S | 0.776 GB | small, greater quality loss |
257
+ | [Llama-3.2-1B-Instruct-Q4_K_M.gguf](https://huggingface.co/tensorblock/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q4_K_M.gguf) | Q4_K_M | 0.808 GB | medium, balanced quality - recommended |
258
+ | [Llama-3.2-1B-Instruct-Q5_0.gguf](https://huggingface.co/tensorblock/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q5_0.gguf) | Q5_0 | 0.893 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
259
+ | [Llama-3.2-1B-Instruct-Q5_K_S.gguf](https://huggingface.co/tensorblock/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q5_K_S.gguf) | Q5_K_S | 0.893 GB | large, low quality loss - recommended |
260
+ | [Llama-3.2-1B-Instruct-Q5_K_M.gguf](https://huggingface.co/tensorblock/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q5_K_M.gguf) | Q5_K_M | 0.912 GB | large, very low quality loss - recommended |
261
+ | [Llama-3.2-1B-Instruct-Q6_K.gguf](https://huggingface.co/tensorblock/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q6_K.gguf) | Q6_K | 1.022 GB | very large, extremely low quality loss |
262
+ | [Llama-3.2-1B-Instruct-Q8_0.gguf](https://huggingface.co/tensorblock/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q8_0.gguf) | Q8_0 | 1.321 GB | very large, extremely low quality loss - not recommended |
263
 
264
 
265
  ## Downloading instruction