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Copyright 2023-2024 01.AI
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This work, [Your Model Name], is based on the work originally authored by 01.AI.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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Attribution
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If you create derivative works based on this model, please include the following attribution in your derivative works:
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This work is a derivative of [The Yi-1.5 Series Model You Base On] by 01.AI, used under the Apache 2.0 License.
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README.md
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README.md
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# Yi-1.5-9B-Chat_a13680797743312896292833
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---
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license: Apache License 2.0
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---
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<div align="center">
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Yi-1.5-9B-Chat
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<picture>
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<img src="https://raw.githubusercontent.com/01-ai/Yi/main/assets/img/Yi_logo_icon_light.svg" width="150px">
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</picture>
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</div>
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<p align="center">
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<a href="https://github.com/01-ai">🐙 GitHub</a> •
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<a href="https://discord.gg/hYUwWddeAu">👾 Discord</a> •
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<a href="https://twitter.com/01ai_yi">🐤 Twitter</a> •
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<a href="https://github.com/01-ai/Yi-1.5/issues/2">💬 WeChat</a>
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<br/>
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<a href="https://arxiv.org/abs/2403.04652">📝 Paper</a> •
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<a href="https://01-ai.github.io/">💪 Tech Blog</a> •
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<a href="https://github.com/01-ai/Yi/tree/main?tab=readme-ov-file#faq">🙌 FAQ</a> •
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<a href="https://github.com/01-ai/Yi/tree/main?tab=readme-ov-file#learning-hub">📗 Learning Hub</a>
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</p>
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# Intro
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Yi-1.5 is an upgraded version of Yi. It is continuously pre-trained on Yi with a high-quality corpus of 500B tokens and fine-tuned on 3M diverse fine-tuning samples.
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Compared with Yi, Yi-1.5 delivers stronger performance in coding, math, reasoning, and instruction-following capability, while still maintaining excellent capabilities in language understanding, commonsense reasoning, and reading comprehension.
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<div align="center">
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Model | Context Length | Pre-trained Tokens
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| :------------: | :------------: | :------------: |
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| Yi-1.5 | 4K, 16K, 32K | 3.6T
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</div>
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# Models
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- Chat models
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<div align="center">
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| Name | Download |
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| --------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| Yi-1.5-34B-Chat | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI)|
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| Yi-1.5-34B-Chat-16K | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI)|
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| Yi-1.5-9B-Chat | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI)|
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| Yi-1.5-9B-Chat-16K | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI)|
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| Yi-1.5-6B-Chat | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI)|
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</div>
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- Base models
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<div align="center">
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| Name | Download |
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| ---------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| Yi-1.5-34B | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI)|
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| Yi-1.5-34B-32K | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI)|
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| Yi-1.5-9B | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI)|
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| Yi-1.5-9B-32K | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI)|
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| Yi-1.5-6B | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI)|
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</div>
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# Benchmarks
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- Chat models
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Yi-1.5-34B-Chat is on par with or excels beyond larger models in most benchmarks.
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Yi-1.5-9B-Chat is the top performer among similarly sized open-source models.
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- Base models
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Yi-1.5-34B is on par with or excels beyond larger models in some benchmarks.
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Yi-1.5-9B is the top performer among similarly sized open-source models.
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# Quick Start
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For getting up and running with Yi-1.5 models quickly, see [README](https://github.com/01-ai/Yi-1.5).
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 48,
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"num_key_value_heads": 4,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 5000000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.40.0",
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"use_cache": false,
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"vocab_size": 64000
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}
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{"framework":"Pytorch","task":"text-generation"}
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"pad_token_id": 0,
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"transformers_version": "4.40.0"
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}
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076b120baa027eee3ffcecb9bd2243f0 config.json
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cc8e8e96be047d8884a430c2ba535801 generation_config.json
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a4bd326c13fb1f27b7145dffffe2f421 model-00001-of-00004.safetensors
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054231cb22dc430b9e3424a4c5a361d6 model-00002-of-00004.safetensors
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1cd9fd99d24ce8c8f557decb08e73776 model-00003-of-00004.safetensors
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1e9be95036261e6c214e5ab5fe50194f model-00004-of-00004.safetensors
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8918290652a4ee6dc89dea20d86768d4 model.safetensors.index.json
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ca53c07de6656e16e23f2665679d7ce3 special_tokens_map.json
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291724ef50f729e45d68f474a7755bbc tokenizer.model
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366d56972635d94369dd6e57e90d1e4a tokenizer_config.json
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{
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}
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}
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||||
|
|
@ -0,0 +1,30 @@
|
|||
{
|
||||
"bos_token": {
|
||||
"content": "<|startoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|im_end|>",
|
||||
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|
||||
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||||
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|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
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|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
File diff suppressed because it is too large
Load Diff
Binary file not shown.
|
|
@ -0,0 +1,53 @@
|
|||
{
|
||||
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|
||||
"add_eos_token": false,
|
||||
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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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|
||||
"special": true
|
||||
},
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||||
"1": {
|
||||
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||||
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||||
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||||
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|
||||
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||||
"special": true
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||||
},
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||||
"2": {
|
||||
"content": "<|endoftext|>",
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||||
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|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"7": {
|
||||
"content": "<|im_end|>",
|
||||
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|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
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|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"bos_token": "<|startoftext|>",
|
||||
"chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|im_start|>user\\n' + content + '<|im_end|>\\n<|im_start|>assistant\\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|im_end|>' + '\\n' }}{% endif %}{% endfor %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"legacy": true,
|
||||
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|
||||
"pad_token": "<unk>",
|
||||
"padding_side": "right",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
Loading…
Reference in New Issue