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README.md
ADDED
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|
| 1 |
+
---
|
| 2 |
+
base_model: meta-llama/Llama-3.1-70B-Instruct
|
| 3 |
+
language:
|
| 4 |
+
- en
|
| 5 |
+
- de
|
| 6 |
+
- fr
|
| 7 |
+
- it
|
| 8 |
+
- pt
|
| 9 |
+
- hi
|
| 10 |
+
- es
|
| 11 |
+
- th
|
| 12 |
+
library_name: transformers
|
| 13 |
+
license: llama3.1
|
| 14 |
+
pipeline_tag: text-generation
|
| 15 |
+
tags:
|
| 16 |
+
- facebook
|
| 17 |
+
- meta
|
| 18 |
+
- pytorch
|
| 19 |
+
- llama
|
| 20 |
+
- llama-3
|
| 21 |
+
- mlx
|
| 22 |
+
extra_gated_prompt: "### LLAMA 3.1 COMMUNITY LICENSE AGREEMENT\nLlama 3.1 Version\
|
| 23 |
+
\ Release Date: July 23, 2024\n\"Agreement\" means the terms and conditions for\
|
| 24 |
+
\ use, reproduction, distribution and modification of the Llama Materials set forth\
|
| 25 |
+
\ herein.\n\"Documentation\" means the specifications, manuals and documentation\
|
| 26 |
+
\ accompanying Llama 3.1 distributed by Meta at https://llama.meta.com/doc/overview.\n\
|
| 27 |
+
\"Licensee\" or \"you\" means you, or your employer or any other person or entity\
|
| 28 |
+
\ (if you are entering into this Agreement on such person or entity’s behalf), of\
|
| 29 |
+
\ the age required under applicable laws, rules or regulations to provide legal\
|
| 30 |
+
\ consent and that has legal authority to bind your employer or such other person\
|
| 31 |
+
\ or entity if you are entering in this Agreement on their behalf.\n\"Llama 3.1\"\
|
| 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://llama.meta.com/llama-downloads.\n\"Llama Materials\" means,\
|
| 36 |
+
\ collectively, Meta’s proprietary Llama 3.1 and Documentation (and any portion\
|
| 37 |
+
\ thereof) made available under this Agreement.\n\"Meta\" or \"we\" means Meta Platforms\
|
| 38 |
+
\ Ireland Limited (if you are located in or, if you are an entity, your principal\
|
| 39 |
+
\ place of business is in the EEA or Switzerland) and Meta Platforms, Inc. (if you\
|
| 40 |
+
\ are located outside of the EEA or Switzerland).\n \n1. License Rights and Redistribution.\n\
|
| 41 |
+
a. Grant of Rights. You are granted a non-exclusive, worldwide, non-transferable\
|
| 42 |
+
\ and royalty-free limited license under Meta’s intellectual property or other rights\
|
| 43 |
+
\ owned by Meta embodied in the Llama Materials to use, reproduce, distribute, copy,\
|
| 44 |
+
\ create derivative works of, and make modifications to the Llama Materials.\nb.\
|
| 45 |
+
\ Redistribution and Use.\ni. If you distribute or make available the Llama Materials\
|
| 46 |
+
\ (or any derivative works thereof), or a product or service (including another\
|
| 47 |
+
\ AI model) that contains any of them, you shall (A) provide a copy of this Agreement\
|
| 48 |
+
\ with any such Llama Materials; and (B) prominently display “Built with Llama”\
|
| 49 |
+
\ on a related website, user interface, blogpost, about page, or product documentation.\
|
| 50 |
+
\ If you use the Llama Materials or any outputs or results of the Llama Materials\
|
| 51 |
+
\ to create, train, fine tune, or otherwise improve an AI model, which is distributed\
|
| 52 |
+
\ or made available, you shall also include “Llama” at the beginning of any such\
|
| 53 |
+
\ AI model name.\nii. If you receive Llama Materials, or any derivative works thereof,\
|
| 54 |
+
\ from a Licensee as part of an integrated end user product, then Section 2 of\
|
| 55 |
+
\ this Agreement will not apply to you.\niii. You must retain in all copies of the\
|
| 56 |
+
\ Llama Materials that you distribute the following attribution notice within a\
|
| 57 |
+
\ “Notice” text file distributed as a part of such copies: “Llama 3.1 is licensed\
|
| 58 |
+
\ under the Llama 3.1 Community License, Copyright © Meta Platforms, Inc. All Rights\
|
| 59 |
+
\ Reserved.”\niv. Your use of the Llama Materials must comply with applicable laws\
|
| 60 |
+
\ and regulations (including trade compliance laws and regulations) and adhere to\
|
| 61 |
+
\ the Acceptable Use Policy for the Llama Materials (available at https://llama.meta.com/llama3_1/use-policy),\
|
| 62 |
+
\ which is hereby incorporated by reference into this Agreement.\n2. Additional\
|
| 63 |
+
\ Commercial Terms. If, on the Llama 3.1 version release date, the monthly active\
|
| 64 |
+
\ users of the products or services made available by or for Licensee, or Licensee’s\
|
| 65 |
+
\ affiliates, is greater than 700 million monthly active users in the preceding\
|
| 66 |
+
\ calendar month, you must request a license from Meta, which Meta may grant to\
|
| 67 |
+
\ you in its sole discretion, and you are not authorized to exercise any of the\
|
| 68 |
+
\ rights under this Agreement unless or until Meta otherwise expressly grants you\
|
| 69 |
+
\ such rights.\n3. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE\
|
| 70 |
+
\ LLAMA MATERIALS AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN “AS IS”\
|
| 71 |
+
\ BASIS, WITHOUT WARRANTIES OF ANY KIND, AND META DISCLAIMS ALL WARRANTIES OF ANY\
|
| 72 |
+
\ KIND, BOTH EXPRESS AND IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES\
|
| 73 |
+
\ OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.\
|
| 74 |
+
\ YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS OF USING OR REDISTRIBUTING\
|
| 75 |
+
\ THE LLAMA MATERIALS AND ASSUME ANY RISKS ASSOCIATED WITH YOUR USE OF THE LLAMA\
|
| 76 |
+
\ MATERIALS AND ANY OUTPUT AND RESULTS.\n4. Limitation of Liability. IN NO EVENT\
|
| 77 |
+
\ WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF LIABILITY, WHETHER IN\
|
| 78 |
+
\ CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, ARISING OUT OF THIS\
|
| 79 |
+
\ AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL, CONSEQUENTIAL, INCIDENTAL,\
|
| 80 |
+
\ EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS AFFILIATES HAVE BEEN ADVISED\
|
| 81 |
+
\ OF THE POSSIBILITY OF ANY OF THE FOREGOING.\n5. Intellectual Property.\na. No\
|
| 82 |
+
\ trademark licenses are granted under this Agreement, and in connection with the\
|
| 83 |
+
\ Llama Materials, neither Meta nor Licensee may use any name or mark owned by or\
|
| 84 |
+
\ associated with the other or any of its affiliates, except as required for reasonable\
|
| 85 |
+
\ and customary use in describing and redistributing the Llama Materials or as set\
|
| 86 |
+
\ forth in this Section 5(a). Meta hereby grants you a license to use “Llama” (the\
|
| 87 |
+
\ “Mark”) solely as required to comply with the last sentence of Section 1.b.i.\
|
| 88 |
+
\ You will comply with Meta’s brand guidelines (currently accessible at https://about.meta.com/brand/resources/meta/company-brand/\
|
| 89 |
+
\ ). All goodwill arising out of your use of the Mark will inure to the benefit\
|
| 90 |
+
\ of Meta.\nb. Subject to Meta’s ownership of Llama Materials and derivatives made\
|
| 91 |
+
\ by or for Meta, with respect to any derivative works and modifications of the\
|
| 92 |
+
\ Llama Materials that are made by you, as between you and Meta, you are and will\
|
| 93 |
+
\ be the owner of such derivative works and modifications.\nc. If you institute\
|
| 94 |
+
\ litigation or other proceedings against Meta or any entity (including a cross-claim\
|
| 95 |
+
\ or counterclaim in a lawsuit) alleging that the Llama Materials or Llama 3.1 outputs\
|
| 96 |
+
\ or results, or any portion of any of the foregoing, constitutes infringement of\
|
| 97 |
+
\ intellectual property or other rights owned or licensable by you, then any licenses\
|
| 98 |
+
\ granted to you under this Agreement shall terminate as of the date such litigation\
|
| 99 |
+
\ or claim is filed or instituted. You will indemnify and hold harmless Meta from\
|
| 100 |
+
\ and against any claim by any third party arising out of or related to your use\
|
| 101 |
+
\ or distribution of the Llama Materials.\n6. Term and Termination. The term of\
|
| 102 |
+
\ this Agreement will commence upon your acceptance of this Agreement or access\
|
| 103 |
+
\ to the Llama Materials and will continue in full force and effect until terminated\
|
| 104 |
+
\ in accordance with the terms and conditions herein. Meta may terminate this Agreement\
|
| 105 |
+
\ if you are in breach of any term or condition of this Agreement. Upon termination\
|
| 106 |
+
\ of this Agreement, you shall delete and cease use of the Llama Materials. Sections\
|
| 107 |
+
\ 3, 4 and 7 shall survive the termination of this Agreement.\n7. Governing Law\
|
| 108 |
+
\ and Jurisdiction. This Agreement will be governed and construed under the laws\
|
| 109 |
+
\ of the State of California without regard to choice of law principles, and the\
|
| 110 |
+
\ UN Convention on Contracts for the International Sale of Goods does not apply\
|
| 111 |
+
\ to this Agreement. The courts of California shall have exclusive jurisdiction\
|
| 112 |
+
\ of any dispute arising out of this Agreement.\n### Llama 3.1 Acceptable Use Policy\n\
|
| 113 |
+
Meta is committed to promoting safe and fair use of its tools and features, including\
|
| 114 |
+
\ Llama 3.1. If you access or use Llama 3.1, you agree to this Acceptable Use Policy\
|
| 115 |
+
\ (“Policy”). The most recent copy of this policy can be found at [https://llama.meta.com/llama3_1/use-policy](https://llama.meta.com/llama3_1/use-policy)\n\
|
| 116 |
+
#### Prohibited Uses\nWe want everyone to use Llama 3.1 safely and responsibly.\
|
| 117 |
+
\ You agree you will not use, or allow others to use, Llama 3.1 to:\n 1. Violate\
|
| 118 |
+
\ the law or others’ rights, including to:\n 1. Engage in, promote, generate,\
|
| 119 |
+
\ contribute to, encourage, plan, incite, or further illegal or unlawful activity\
|
| 120 |
+
\ or content, such as:\n 1. Violence or terrorism\n 2. Exploitation\
|
| 121 |
+
\ or harm to children, including the solicitation, creation, acquisition, or dissemination\
|
| 122 |
+
\ of child exploitative content or failure to report Child Sexual Abuse Material\n\
|
| 123 |
+
\ 3. Human trafficking, exploitation, and sexual violence\n 4. The\
|
| 124 |
+
\ illegal distribution of information or materials to minors, including obscene\
|
| 125 |
+
\ materials, or failure to employ legally required age-gating in connection with\
|
| 126 |
+
\ such information or materials.\n 5. Sexual solicitation\n 6. Any\
|
| 127 |
+
\ other criminal activity\n 3. Engage in, promote, incite, or facilitate the\
|
| 128 |
+
\ harassment, abuse, threatening, or bullying of individuals or groups of individuals\n\
|
| 129 |
+
\ 4. Engage in, promote, incite, or facilitate discrimination or other unlawful\
|
| 130 |
+
\ or harmful conduct in the provision of employment, employment benefits, credit,\
|
| 131 |
+
\ housing, other economic benefits, or other essential goods and services\n 5.\
|
| 132 |
+
\ Engage in the unauthorized or unlicensed practice of any profession including,\
|
| 133 |
+
\ but not limited to, financial, legal, medical/health, or related professional\
|
| 134 |
+
\ practices\n 6. Collect, process, disclose, generate, or infer health, demographic,\
|
| 135 |
+
\ or other sensitive personal or private information about individuals without rights\
|
| 136 |
+
\ and consents required by applicable laws\n 7. Engage in or facilitate any action\
|
| 137 |
+
\ or generate any content that infringes, misappropriates, or otherwise violates\
|
| 138 |
+
\ any third-party rights, including the outputs or results of any products or services\
|
| 139 |
+
\ using the Llama Materials\n 8. Create, generate, or facilitate the creation\
|
| 140 |
+
\ of malicious code, malware, computer viruses or do anything else that could disable,\
|
| 141 |
+
\ overburden, interfere with or impair the proper working, integrity, operation\
|
| 142 |
+
\ or appearance of a website or computer system\n2. Engage in, promote, incite,\
|
| 143 |
+
\ facilitate, or assist in the planning or development of activities that present\
|
| 144 |
+
\ a risk of death or bodily harm to individuals, including use of Llama 3.1 related\
|
| 145 |
+
\ to the following:\n 1. Military, warfare, nuclear industries or applications,\
|
| 146 |
+
\ espionage, use for materials or activities that are subject to the International\
|
| 147 |
+
\ Traffic Arms Regulations (ITAR) maintained by the United States Department of\
|
| 148 |
+
\ State\n 2. Guns and illegal weapons (including weapon development)\n 3.\
|
| 149 |
+
\ Illegal drugs and regulated/controlled substances\n 4. Operation of critical\
|
| 150 |
+
\ infrastructure, transportation technologies, or heavy machinery\n 5. Self-harm\
|
| 151 |
+
\ or harm to others, including suicide, cutting, and eating disorders\n 6. Any\
|
| 152 |
+
\ content intended to incite or promote violence, abuse, or any infliction of bodily\
|
| 153 |
+
\ harm to an individual\n3. Intentionally deceive or mislead others, including use\
|
| 154 |
+
\ of Llama 3.1 related to the following:\n 1. Generating, promoting, or furthering\
|
| 155 |
+
\ fraud or the creation or promotion of disinformation\n 2. Generating, promoting,\
|
| 156 |
+
\ or furthering defamatory content, including the creation of defamatory statements,\
|
| 157 |
+
\ images, or other content\n 3. Generating, promoting, or further distributing\
|
| 158 |
+
\ spam\n 4. Impersonating another individual without consent, authorization,\
|
| 159 |
+
\ or legal right\n 5. Representing that the use of Llama 3.1 or outputs are human-generated\n\
|
| 160 |
+
\ 6. Generating or facilitating false online engagement, including fake reviews\
|
| 161 |
+
\ and other means of fake online engagement\n4. Fail to appropriately disclose to\
|
| 162 |
+
\ end users any known dangers of your AI system\nPlease report any violation of\
|
| 163 |
+
\ this Policy, software “bug,” or other problems that could lead to a violation\
|
| 164 |
+
\ of this Policy through one of the following means:\n * Reporting issues with\
|
| 165 |
+
\ the model: [https://github.com/meta-llama/llama-models/issues](https://github.com/meta-llama/llama-models/issues)\n\
|
| 166 |
+
\ * Reporting risky content generated by the model:\n developers.facebook.com/llama_output_feedback\n\
|
| 167 |
+
\ * Reporting bugs and security concerns: facebook.com/whitehat/info\n * Reporting\
|
| 168 |
+
\ violations of the Acceptable Use Policy or unlicensed uses of Meta Llama 3: [email protected]"
|
| 169 |
+
extra_gated_fields:
|
| 170 |
+
First Name: text
|
| 171 |
+
Last Name: text
|
| 172 |
+
Date of birth: date_picker
|
| 173 |
+
Country: country
|
| 174 |
+
Affiliation: text
|
| 175 |
+
Job title:
|
| 176 |
+
type: select
|
| 177 |
+
options:
|
| 178 |
+
- Student
|
| 179 |
+
- Research Graduate
|
| 180 |
+
- AI researcher
|
| 181 |
+
- AI developer/engineer
|
| 182 |
+
- Reporter
|
| 183 |
+
- Other
|
| 184 |
+
geo: ip_location
|
| 185 |
+
? By clicking Submit below I accept the terms of the license and acknowledge that
|
| 186 |
+
the information I provide will be collected stored processed and shared in accordance
|
| 187 |
+
with the Meta Privacy Policy
|
| 188 |
+
: checkbox
|
| 189 |
+
extra_gated_description: The information you provide will be collected, stored, processed
|
| 190 |
+
and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
|
| 191 |
+
extra_gated_button_content: Submit
|
| 192 |
+
---
|
| 193 |
+
|
| 194 |
+
# vanakema/Meta-Llama-3.1-70B-bf16-forcebf16
|
| 195 |
+
|
| 196 |
+
The Model [vanakema/Meta-Llama-3.1-70B-bf16-forcebf16](https://huggingface.co/vanakema/Meta-Llama-3.1-70B-bf16-forcebf16) was converted to MLX format from [meta-llama/Llama-3.1-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct) using mlx-lm version **0.18.2**.
|
| 197 |
+
|
| 198 |
+
## Use with mlx
|
| 199 |
+
|
| 200 |
+
```bash
|
| 201 |
+
pip install mlx-lm
|
| 202 |
+
```
|
| 203 |
+
|
| 204 |
+
```python
|
| 205 |
+
from mlx_lm import load, generate
|
| 206 |
+
|
| 207 |
+
model, tokenizer = load("vanakema/Meta-Llama-3.1-70B-bf16-forcebf16")
|
| 208 |
+
|
| 209 |
+
prompt="hello"
|
| 210 |
+
|
| 211 |
+
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
|
| 212 |
+
messages = [{"role": "user", "content": prompt}]
|
| 213 |
+
prompt = tokenizer.apply_chat_template(
|
| 214 |
+
messages, tokenize=False, add_generation_prompt=True
|
| 215 |
+
)
|
| 216 |
+
|
| 217 |
+
response = generate(model, tokenizer, prompt=prompt, verbose=True)
|
| 218 |
+
```
|
config.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": 8192,
|
| 15 |
+
"initializer_range": 0.02,
|
| 16 |
+
"intermediate_size": 28672,
|
| 17 |
+
"max_position_embeddings": 131072,
|
| 18 |
+
"mlp_bias": false,
|
| 19 |
+
"model_type": "llama",
|
| 20 |
+
"num_attention_heads": 64,
|
| 21 |
+
"num_hidden_layers": 80,
|
| 22 |
+
"num_key_value_heads": 8,
|
| 23 |
+
"pretraining_tp": 1,
|
| 24 |
+
"rms_norm_eps": 1e-05,
|
| 25 |
+
"rope_scaling": {
|
| 26 |
+
"factor": 8.0,
|
| 27 |
+
"low_freq_factor": 1.0,
|
| 28 |
+
"high_freq_factor": 4.0,
|
| 29 |
+
"original_max_position_embeddings": 8192,
|
| 30 |
+
"rope_type": "llama3"
|
| 31 |
+
},
|
| 32 |
+
"rope_theta": 500000.0,
|
| 33 |
+
"tie_word_embeddings": false,
|
| 34 |
+
"torch_dtype": "bfloat16",
|
| 35 |
+
"transformers_version": "4.42.3",
|
| 36 |
+
"use_cache": true,
|
| 37 |
+
"vocab_size": 128256
|
| 38 |
+
}
|
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version https://git-lfs.github.com/spec/v1
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size 5133929581
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model-00026-of-00028.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3fb2073cc53286a4a0f0acad93347fb358945865b2bb5ceb4265e2a854f373d8
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size 5133929573
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model-00027-of-00028.safetensors
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:d1ae5286687c9c333bcc077680a01a01956fc112810cb423d50452c98a098a14
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size 5133929569
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model-00028-of-00028.safetensors
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:b19dcec7cbdaa8f6c2f2ea03faf0a784c6bb91546d68761cd7aa430028cf2a63
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size 2571158049
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model.safetensors.index.json
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{
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special_tokens_map.json
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<|begin_of_text|>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|eot_id|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
}
|
| 16 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,2062 @@
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|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"128000": {
|
| 4 |
+
"content": "<|begin_of_text|>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"128001": {
|
| 12 |
+
"content": "<|end_of_text|>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"128002": {
|
| 20 |
+
"content": "<|reserved_special_token_0|>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"128003": {
|
| 28 |
+
"content": "<|reserved_special_token_1|>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"128004": {
|
| 36 |
+
"content": "<|finetune_right_pad_id|>",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
},
|
| 43 |
+
"128005": {
|
| 44 |
+
"content": "<|reserved_special_token_2|>",
|
| 45 |
+
"lstrip": false,
|
| 46 |
+
"normalized": false,
|
| 47 |
+
"rstrip": false,
|
| 48 |
+
"single_word": false,
|
| 49 |
+
"special": true
|
| 50 |
+
},
|
| 51 |
+
"128006": {
|
| 52 |
+
"content": "<|start_header_id|>",
|
| 53 |
+
"lstrip": false,
|
| 54 |
+
"normalized": false,
|
| 55 |
+
"rstrip": false,
|
| 56 |
+
"single_word": false,
|
| 57 |
+
"special": true
|
| 58 |
+
},
|
| 59 |
+
"128007": {
|
| 60 |
+
"content": "<|end_header_id|>",
|
| 61 |
+
"lstrip": false,
|
| 62 |
+
"normalized": false,
|
| 63 |
+
"rstrip": false,
|
| 64 |
+
"single_word": false,
|
| 65 |
+
"special": true
|
| 66 |
+
},
|
| 67 |
+
"128008": {
|
| 68 |
+
"content": "<|eom_id|>",
|
| 69 |
+
"lstrip": false,
|
| 70 |
+
"normalized": false,
|
| 71 |
+
"rstrip": false,
|
| 72 |
+
"single_word": false,
|
| 73 |
+
"special": true
|
| 74 |
+
},
|
| 75 |
+
"128009": {
|
| 76 |
+
"content": "<|eot_id|>",
|
| 77 |
+
"lstrip": false,
|
| 78 |
+
"normalized": false,
|
| 79 |
+
"rstrip": false,
|
| 80 |
+
"single_word": false,
|
| 81 |
+
"special": true
|
| 82 |
+
},
|
| 83 |
+
"128010": {
|
| 84 |
+
"content": "<|python_tag|>",
|
| 85 |
+
"lstrip": false,
|
| 86 |
+
"normalized": false,
|
| 87 |
+
"rstrip": false,
|
| 88 |
+
"single_word": false,
|
| 89 |
+
"special": true
|
| 90 |
+
},
|
| 91 |
+
"128011": {
|
| 92 |
+
"content": "<|reserved_special_token_3|>",
|
| 93 |
+
"lstrip": false,
|
| 94 |
+
"normalized": false,
|
| 95 |
+
"rstrip": false,
|
| 96 |
+
"single_word": false,
|
| 97 |
+
"special": true
|
| 98 |
+
},
|
| 99 |
+
"128012": {
|
| 100 |
+
"content": "<|reserved_special_token_4|>",
|
| 101 |
+
"lstrip": false,
|
| 102 |
+
"normalized": false,
|
| 103 |
+
"rstrip": false,
|
| 104 |
+
"single_word": false,
|
| 105 |
+
"special": true
|
| 106 |
+
},
|
| 107 |
+
"128013": {
|
| 108 |
+
"content": "<|reserved_special_token_5|>",
|
| 109 |
+
"lstrip": false,
|
| 110 |
+
"normalized": false,
|
| 111 |
+
"rstrip": false,
|
| 112 |
+
"single_word": false,
|
| 113 |
+
"special": true
|
| 114 |
+
},
|
| 115 |
+
"128014": {
|
| 116 |
+
"content": "<|reserved_special_token_6|>",
|
| 117 |
+
"lstrip": false,
|
| 118 |
+
"normalized": false,
|
| 119 |
+
"rstrip": false,
|
| 120 |
+
"single_word": false,
|
| 121 |
+
"special": true
|
| 122 |
+
},
|
| 123 |
+
"128015": {
|
| 124 |
+
"content": "<|reserved_special_token_7|>",
|
| 125 |
+
"lstrip": false,
|
| 126 |
+
"normalized": false,
|
| 127 |
+
"rstrip": false,
|
| 128 |
+
"single_word": false,
|
| 129 |
+
"special": true
|
| 130 |
+
},
|
| 131 |
+
"128016": {
|
| 132 |
+
"content": "<|reserved_special_token_8|>",
|
| 133 |
+
"lstrip": false,
|
| 134 |
+
"normalized": false,
|
| 135 |
+
"rstrip": false,
|
| 136 |
+
"single_word": false,
|
| 137 |
+
"special": true
|
| 138 |
+
},
|
| 139 |
+
"128017": {
|
| 140 |
+
"content": "<|reserved_special_token_9|>",
|
| 141 |
+
"lstrip": false,
|
| 142 |
+
"normalized": false,
|
| 143 |
+
"rstrip": false,
|
| 144 |
+
"single_word": false,
|
| 145 |
+
"special": true
|
| 146 |
+
},
|
| 147 |
+
"128018": {
|
| 148 |
+
"content": "<|reserved_special_token_10|>",
|
| 149 |
+
"lstrip": false,
|
| 150 |
+
"normalized": false,
|
| 151 |
+
"rstrip": false,
|
| 152 |
+
"single_word": false,
|
| 153 |
+
"special": true
|
| 154 |
+
},
|
| 155 |
+
"128019": {
|
| 156 |
+
"content": "<|reserved_special_token_11|>",
|
| 157 |
+
"lstrip": false,
|
| 158 |
+
"normalized": false,
|
| 159 |
+
"rstrip": false,
|
| 160 |
+
"single_word": false,
|
| 161 |
+
"special": true
|
| 162 |
+
},
|
| 163 |
+
"128020": {
|
| 164 |
+
"content": "<|reserved_special_token_12|>",
|
| 165 |
+
"lstrip": false,
|
| 166 |
+
"normalized": false,
|
| 167 |
+
"rstrip": false,
|
| 168 |
+
"single_word": false,
|
| 169 |
+
"special": true
|
| 170 |
+
},
|
| 171 |
+
"128021": {
|
| 172 |
+
"content": "<|reserved_special_token_13|>",
|
| 173 |
+
"lstrip": false,
|
| 174 |
+
"normalized": false,
|
| 175 |
+
"rstrip": false,
|
| 176 |
+
"single_word": false,
|
| 177 |
+
"special": true
|
| 178 |
+
},
|
| 179 |
+
"128022": {
|
| 180 |
+
"content": "<|reserved_special_token_14|>",
|
| 181 |
+
"lstrip": false,
|
| 182 |
+
"normalized": false,
|
| 183 |
+
"rstrip": false,
|
| 184 |
+
"single_word": false,
|
| 185 |
+
"special": true
|
| 186 |
+
},
|
| 187 |
+
"128023": {
|
| 188 |
+
"content": "<|reserved_special_token_15|>",
|
| 189 |
+
"lstrip": false,
|
| 190 |
+
"normalized": false,
|
| 191 |
+
"rstrip": false,
|
| 192 |
+
"single_word": false,
|
| 193 |
+
"special": true
|
| 194 |
+
},
|
| 195 |
+
"128024": {
|
| 196 |
+
"content": "<|reserved_special_token_16|>",
|
| 197 |
+
"lstrip": false,
|
| 198 |
+
"normalized": false,
|
| 199 |
+
"rstrip": false,
|
| 200 |
+
"single_word": false,
|
| 201 |
+
"special": true
|
| 202 |
+
},
|
| 203 |
+
"128025": {
|
| 204 |
+
"content": "<|reserved_special_token_17|>",
|
| 205 |
+
"lstrip": false,
|
| 206 |
+
"normalized": false,
|
| 207 |
+
"rstrip": false,
|
| 208 |
+
"single_word": false,
|
| 209 |
+
"special": true
|
| 210 |
+
},
|
| 211 |
+
"128026": {
|
| 212 |
+
"content": "<|reserved_special_token_18|>",
|
| 213 |
+
"lstrip": false,
|
| 214 |
+
"normalized": false,
|
| 215 |
+
"rstrip": false,
|
| 216 |
+
"single_word": false,
|
| 217 |
+
"special": true
|
| 218 |
+
},
|
| 219 |
+
"128027": {
|
| 220 |
+
"content": "<|reserved_special_token_19|>",
|
| 221 |
+
"lstrip": false,
|
| 222 |
+
"normalized": false,
|
| 223 |
+
"rstrip": false,
|
| 224 |
+
"single_word": false,
|
| 225 |
+
"special": true
|
| 226 |
+
},
|
| 227 |
+
"128028": {
|
| 228 |
+
"content": "<|reserved_special_token_20|>",
|
| 229 |
+
"lstrip": false,
|
| 230 |
+
"normalized": false,
|
| 231 |
+
"rstrip": false,
|
| 232 |
+
"single_word": false,
|
| 233 |
+
"special": true
|
| 234 |
+
},
|
| 235 |
+
"128029": {
|
| 236 |
+
"content": "<|reserved_special_token_21|>",
|
| 237 |
+
"lstrip": false,
|
| 238 |
+
"normalized": false,
|
| 239 |
+
"rstrip": false,
|
| 240 |
+
"single_word": false,
|
| 241 |
+
"special": true
|
| 242 |
+
},
|
| 243 |
+
"128030": {
|
| 244 |
+
"content": "<|reserved_special_token_22|>",
|
| 245 |
+
"lstrip": false,
|
| 246 |
+
"normalized": false,
|
| 247 |
+
"rstrip": false,
|
| 248 |
+
"single_word": false,
|
| 249 |
+
"special": true
|
| 250 |
+
},
|
| 251 |
+
"128031": {
|
| 252 |
+
"content": "<|reserved_special_token_23|>",
|
| 253 |
+
"lstrip": false,
|
| 254 |
+
"normalized": false,
|
| 255 |
+
"rstrip": false,
|
| 256 |
+
"single_word": false,
|
| 257 |
+
"special": true
|
| 258 |
+
},
|
| 259 |
+
"128032": {
|
| 260 |
+
"content": "<|reserved_special_token_24|>",
|
| 261 |
+
"lstrip": false,
|
| 262 |
+
"normalized": false,
|
| 263 |
+
"rstrip": false,
|
| 264 |
+
"single_word": false,
|
| 265 |
+
"special": true
|
| 266 |
+
},
|
| 267 |
+
"128033": {
|
| 268 |
+
"content": "<|reserved_special_token_25|>",
|
| 269 |
+
"lstrip": false,
|
| 270 |
+
"normalized": false,
|
| 271 |
+
"rstrip": false,
|
| 272 |
+
"single_word": false,
|
| 273 |
+
"special": true
|
| 274 |
+
},
|
| 275 |
+
"128034": {
|
| 276 |
+
"content": "<|reserved_special_token_26|>",
|
| 277 |
+
"lstrip": false,
|
| 278 |
+
"normalized": false,
|
| 279 |
+
"rstrip": false,
|
| 280 |
+
"single_word": false,
|
| 281 |
+
"special": true
|
| 282 |
+
},
|
| 283 |
+
"128035": {
|
| 284 |
+
"content": "<|reserved_special_token_27|>",
|
| 285 |
+
"lstrip": false,
|
| 286 |
+
"normalized": false,
|
| 287 |
+
"rstrip": false,
|
| 288 |
+
"single_word": false,
|
| 289 |
+
"special": true
|
| 290 |
+
},
|
| 291 |
+
"128036": {
|
| 292 |
+
"content": "<|reserved_special_token_28|>",
|
| 293 |
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| 1530 |
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| 1533 |
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| 1537 |
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| 1540 |
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| 1541 |
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| 1548 |
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| 1549 |
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| 1556 |
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| 1561 |
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| 1562 |
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| 1564 |
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| 1565 |
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| 1570 |
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| 1572 |
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| 1580 |
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| 1588 |
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| 1604 |
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| 1605 |
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| 1613 |
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| 1620 |
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| 1621 |
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| 1634 |
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| 1652 |
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| 1828 |
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| 1829 |
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| 1830 |
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|
| 1850 |
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| 1860 |
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| 1861 |
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|
| 1866 |
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|
| 1868 |
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| 1870 |
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| 1876 |
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|
| 1882 |
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| 1883 |
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|
| 1884 |
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|
| 1885 |
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| 1886 |
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|
| 1887 |
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| 1888 |
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| 1889 |
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|
| 1890 |
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|
| 1892 |
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|
| 1893 |
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| 1894 |
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| 1895 |
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| 1897 |
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|
| 1898 |
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|
| 1900 |
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| 1901 |
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| 1902 |
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| 1903 |
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| 1905 |
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| 1906 |
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| 1907 |
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|
| 1908 |
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| 1909 |
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| 1910 |
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| 1911 |
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| 1913 |
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|
| 1914 |
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|
| 1915 |
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|
| 1916 |
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| 1917 |
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| 1918 |
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| 1919 |
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| 1920 |
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| 1921 |
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|
| 1922 |
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|
| 1923 |
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|
| 1924 |
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|
| 1925 |
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| 1926 |
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| 1927 |
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| 1928 |
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| 1929 |
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|
| 1930 |
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|
| 1931 |
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|
| 1932 |
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|
| 1933 |
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| 1934 |
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|
| 1935 |
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|
| 1936 |
+
"single_word": false,
|
| 1937 |
+
"special": true
|
| 1938 |
+
},
|
| 1939 |
+
"128242": {
|
| 1940 |
+
"content": "<|reserved_special_token_234|>",
|
| 1941 |
+
"lstrip": false,
|
| 1942 |
+
"normalized": false,
|
| 1943 |
+
"rstrip": false,
|
| 1944 |
+
"single_word": false,
|
| 1945 |
+
"special": true
|
| 1946 |
+
},
|
| 1947 |
+
"128243": {
|
| 1948 |
+
"content": "<|reserved_special_token_235|>",
|
| 1949 |
+
"lstrip": false,
|
| 1950 |
+
"normalized": false,
|
| 1951 |
+
"rstrip": false,
|
| 1952 |
+
"single_word": false,
|
| 1953 |
+
"special": true
|
| 1954 |
+
},
|
| 1955 |
+
"128244": {
|
| 1956 |
+
"content": "<|reserved_special_token_236|>",
|
| 1957 |
+
"lstrip": false,
|
| 1958 |
+
"normalized": false,
|
| 1959 |
+
"rstrip": false,
|
| 1960 |
+
"single_word": false,
|
| 1961 |
+
"special": true
|
| 1962 |
+
},
|
| 1963 |
+
"128245": {
|
| 1964 |
+
"content": "<|reserved_special_token_237|>",
|
| 1965 |
+
"lstrip": false,
|
| 1966 |
+
"normalized": false,
|
| 1967 |
+
"rstrip": false,
|
| 1968 |
+
"single_word": false,
|
| 1969 |
+
"special": true
|
| 1970 |
+
},
|
| 1971 |
+
"128246": {
|
| 1972 |
+
"content": "<|reserved_special_token_238|>",
|
| 1973 |
+
"lstrip": false,
|
| 1974 |
+
"normalized": false,
|
| 1975 |
+
"rstrip": false,
|
| 1976 |
+
"single_word": false,
|
| 1977 |
+
"special": true
|
| 1978 |
+
},
|
| 1979 |
+
"128247": {
|
| 1980 |
+
"content": "<|reserved_special_token_239|>",
|
| 1981 |
+
"lstrip": false,
|
| 1982 |
+
"normalized": false,
|
| 1983 |
+
"rstrip": false,
|
| 1984 |
+
"single_word": false,
|
| 1985 |
+
"special": true
|
| 1986 |
+
},
|
| 1987 |
+
"128248": {
|
| 1988 |
+
"content": "<|reserved_special_token_240|>",
|
| 1989 |
+
"lstrip": false,
|
| 1990 |
+
"normalized": false,
|
| 1991 |
+
"rstrip": false,
|
| 1992 |
+
"single_word": false,
|
| 1993 |
+
"special": true
|
| 1994 |
+
},
|
| 1995 |
+
"128249": {
|
| 1996 |
+
"content": "<|reserved_special_token_241|>",
|
| 1997 |
+
"lstrip": false,
|
| 1998 |
+
"normalized": false,
|
| 1999 |
+
"rstrip": false,
|
| 2000 |
+
"single_word": false,
|
| 2001 |
+
"special": true
|
| 2002 |
+
},
|
| 2003 |
+
"128250": {
|
| 2004 |
+
"content": "<|reserved_special_token_242|>",
|
| 2005 |
+
"lstrip": false,
|
| 2006 |
+
"normalized": false,
|
| 2007 |
+
"rstrip": false,
|
| 2008 |
+
"single_word": false,
|
| 2009 |
+
"special": true
|
| 2010 |
+
},
|
| 2011 |
+
"128251": {
|
| 2012 |
+
"content": "<|reserved_special_token_243|>",
|
| 2013 |
+
"lstrip": false,
|
| 2014 |
+
"normalized": false,
|
| 2015 |
+
"rstrip": false,
|
| 2016 |
+
"single_word": false,
|
| 2017 |
+
"special": true
|
| 2018 |
+
},
|
| 2019 |
+
"128252": {
|
| 2020 |
+
"content": "<|reserved_special_token_244|>",
|
| 2021 |
+
"lstrip": false,
|
| 2022 |
+
"normalized": false,
|
| 2023 |
+
"rstrip": false,
|
| 2024 |
+
"single_word": false,
|
| 2025 |
+
"special": true
|
| 2026 |
+
},
|
| 2027 |
+
"128253": {
|
| 2028 |
+
"content": "<|reserved_special_token_245|>",
|
| 2029 |
+
"lstrip": false,
|
| 2030 |
+
"normalized": false,
|
| 2031 |
+
"rstrip": false,
|
| 2032 |
+
"single_word": false,
|
| 2033 |
+
"special": true
|
| 2034 |
+
},
|
| 2035 |
+
"128254": {
|
| 2036 |
+
"content": "<|reserved_special_token_246|>",
|
| 2037 |
+
"lstrip": false,
|
| 2038 |
+
"normalized": false,
|
| 2039 |
+
"rstrip": false,
|
| 2040 |
+
"single_word": false,
|
| 2041 |
+
"special": true
|
| 2042 |
+
},
|
| 2043 |
+
"128255": {
|
| 2044 |
+
"content": "<|reserved_special_token_247|>",
|
| 2045 |
+
"lstrip": false,
|
| 2046 |
+
"normalized": false,
|
| 2047 |
+
"rstrip": false,
|
| 2048 |
+
"single_word": false,
|
| 2049 |
+
"special": true
|
| 2050 |
+
}
|
| 2051 |
+
},
|
| 2052 |
+
"bos_token": "<|begin_of_text|>",
|
| 2053 |
+
"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 {%- set date_string = \"26 Jul 2024\" %}\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 {%- set system_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n{%- else %}\n {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message + builtin tools #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if builtin_tools is defined or tools is not none %}\n {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{%- if builtin_tools is defined %}\n {{- \"Tools: \" + builtin_tools | reject('equalto', 'code_interpreter') | join(\", \") + \"\\n\\n\"}}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\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_id|>\" }}\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 {{- '<|start_header_id|>user<|end_header_id|>\\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_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {%- if builtin_tools is defined and tool_call.name in builtin_tools %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- \"<|python_tag|>\" + tool_call.name + \".call(\" }}\n {%- for arg_name, arg_val in tool_call.arguments | items %}\n {{- arg_name + '=\"' + arg_val + '\"' }}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- endif %}\n {%- endfor %}\n {{- \")\" }}\n {%- else %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {%- endif %}\n {%- if builtin_tools is defined %}\n {#- This means we're in ipython mode #}\n {{- \"<|eom_id|>\" }}\n {%- else %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\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_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\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 |
+
}
|