From 3cea0ccb97146a4fdeefcba8dcb28ab4988828a9 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Mon, 20 Jul 2026 13:26:12 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: steven0226/llama-3.2-3b-taiwan-chat Source: Original Platform --- .gitattributes | 36 + LICENSE.txt | 70 + NOTICE | 1 + README.md | 284 ++++ chat_template.jinja | 139 ++ config.json | 37 + generation_config.json | 14 + loss_curve.png | Bin 0 -> 90228 bytes model-00001-of-00002.safetensors | 3 + model-00002-of-00002.safetensors | 3 + model.safetensors.index.json | 261 ++++ special_tokens_map.json | 23 + tokenizer.json | 3 + tokenizer_config.json | 2067 ++++++++++++++++++++++++++++++ 14 files changed, 2941 insertions(+) create mode 100644 .gitattributes create mode 100644 LICENSE.txt create mode 100644 NOTICE create mode 100644 README.md create mode 100644 chat_template.jinja create mode 100644 config.json create mode 100644 generation_config.json create mode 100644 loss_curve.png create mode 100644 model-00001-of-00002.safetensors create mode 100644 model-00002-of-00002.safetensors create mode 100644 model.safetensors.index.json create mode 100644 special_tokens_map.json create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..52373fe --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text diff --git a/LICENSE.txt b/LICENSE.txt new file mode 100644 index 0000000..83f13c3 --- /dev/null +++ b/LICENSE.txt @@ -0,0 +1,70 @@ +LLAMA 3.2 COMMUNITY LICENSE AGREEMENT + +Llama 3.2 Version Release Date: September 25, 2024 + +“Agreement” means the terms and conditions for use, reproduction, distribution and modification of the Llama Materials set forth herein. + + +“Documentation” means the specifications, manuals and documentation accompanying Llama 3.2 distributed by Meta at https://www.llama.com/docs/overview. + + +“Licensee” or “you” means you, or your employer or any other person or entity (if you are entering into this Agreement on such person or entity’s behalf), of the age required under applicable laws, rules or regulations to provide legal consent and that has legal authority to bind your employer or such other person or entity if you are entering in this Agreement on their behalf. + + +“Llama 3.2” means the foundational large language models and software and algorithms, including machine-learning model code, trained model weights, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Meta at https://www.llama.com/llama-downloads. + + +“Llama Materials” means, collectively, Meta’s proprietary Llama 3.2 and Documentation (and any portion thereof) made available under this Agreement. + + +“Meta” or “we” means Meta Platforms Ireland Limited (if you are located in or, if you are an entity, your principal place of business is in the EEA or Switzerland) and Meta Platforms, Inc. 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All Rights Reserved. \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..8c97b9e --- /dev/null +++ b/README.md @@ -0,0 +1,284 @@ +--- +license: llama3.2 +license_name: llama3.2 +license_link: https://www.llama.com/llama3_2/license/ +language: +- zh +- en +base_model: unsloth/Llama-3.2-3B-Instruct +datasets: +- yentinglin/TaiwanChat +library_name: transformers +pipeline_tag: text-generation +tags: +- llama-3.2 +- unsloth +- qlora +- lora +- taiwan +- traditional-chinese +- zh-tw +- sft +--- + +# Llama-3.2-3B Taiwan Chat + +**Built with Llama** + +以 QLoRA(Unsloth)在 TaiwanChat 子集上微調 Llama-3.2-3B-Instruct 後,**合併為完整 fp16 權重**的版本,下載即用,目標是更自然的繁體中文與台灣在地語感。 + +*(English)* Llama-3.2-3B-Instruct fine-tuned with QLoRA (Unsloth) on a subset of yentinglin/TaiwanChat to improve Traditional-Chinese (Taiwan) fluency and localization. Loss was computed on assistant responses only. Research / non-commercial use only (the dataset is CC BY-NC 4.0). + +## 訓練設定 + +| 項目 | 值 | +|---|---| +| Base model | `unsloth/Llama-3.2-3B-Instruct`(meta-llama/Llama-3.2-3B-Instruct 之權重相同鏡像) | +| 資料集 | [yentinglin/TaiwanChat](https://huggingface.co/datasets/yentinglin/TaiwanChat):取樣 15000 筆 → 過濾超過 2048 tokens 後剩 14776 筆 | +| 方法 | QLoRA:4-bit NF4 載入 + LoRA(r=16、alpha=16、dropout=0;q/k/v/o/gate/up/down 七個投影層) | +| max_seq_length | 2048 | +| Learning rate | 0.0002(linear decay、warmup ratio 0.03) | +| 訓練量 | 1 epoch(有效 batch size 8) | +| Optimizer | adamw_8bit(weight decay 0.001) | +| Loss 遮罩 | 只對 assistant 回覆計 loss(unsloth `train_on_responses_only`) | +| GPU / 時間 | NVIDIA A100-SXM4-40GB / 約 32.5 分鐘 | +| 最終 train loss | 1.2620 | +| Seed | 3407 | +| 訓練日期 | 2026-07-10 | + +![training loss](loss_curve.png) + +## 使用方式 + +這是**合併後的完整 fp16 模型**(~6.5 GB),可直接用 transformers 載入: + +```python +from transformers import pipeline + +pipe = pipeline("text-generation", model="steven0226/llama-3.2-3b-taiwan-chat", torch_dtype="auto", device_map="auto") +out = pipe([{"role": "user", "content": "請推薦台南的夜市小吃"}], max_new_tokens=256) +print(out[0]["generated_text"][-1]["content"]) +``` + +也可用 vLLM / Unsloth 載入。只想要輕量 adapter → [steven0226/llama-3.2-3b-taiwan-chat-lora](https://huggingface.co/steven0226/llama-3.2-3b-taiwan-chat-lora)。 + +## 微調前後對照 + +同樣 5 個台灣情境問題、greedy decoding(可重現),差異完全來自微調: + +
+請用台灣人習慣的說法介紹珍珠奶茶:它的由來、基本做法,以及為什麼能代表台灣的手搖飲文化。 + +**微調前(base):** + +珍珠奶茶（也稱為「珍珠」或「奶茶」），是一種非常受歡迎的台灣手搖飲，尤其是在年輕人中非常流行。 + +**由來** + +珍珠奶茶的起源可以追溯到20世紀60年代，當時在台北的街頭小吃店和咖啡館中，開始出現一種特殊的奶茶。這種奶茶使用了高質量的牛奶、糖和珍珠（即是糖化的水晶）等成分，通過手搖混合機製造出一種濃稠且有趣的飲料。 + +**基本做法** + +珍珠奶茶的基本做法如下： + +1. 使用高質量的牛奶和糖進行混合。 +2. 加入一些珍珠（糖化的水晶）。 +3. 使用手搖混合機搖拌所有成分，直到得到均勻的色彩和口感。 +4. 將熱水加入混合物中，讓它充滿溫度並擴散。 +5. 最後，將珍珠奶茶放入杯子中，並可添加 + +**微調後(fine-tuned):** + +嗨，大家好！今天我想介紹一個非常受歡迎的台灣飲品 - 珍珠奶茶。這個飲品的由來是從1970年代開始在台灣流行起來，最初被稱為「珍珠」或「珍珠奶茶」。它是一種使用奶油和糖水製成的奶茶，配上珍珠（即小型的玉米淀粉）和冰塊。 + +珍珠奶茶的基本做法是將奶油和糖水混合在一起，然後加入熱水煮沸。然後，將珍珠和冰塊放入杯子中，最後加上奶茶。這個飲品非常受歡迎，因為它既有甜美的口感，又有清爽的口感。 + +珍珠奶茶可以代表台灣的手搖飲文化，因為它是一種由於手工製作而產生的飲品。台灣的人們喜歡手搖飲，因為它可以讓他們享受一種獨特的體驗。珍珠奶茶也可以代表台灣對生活的樂觀態度，因為它是一種可以讓人們快樂和愉 + +
+ +
+我是剛來台灣的交換學生,想辦手機門號。請比較預付卡和月租方案的差別,以及辦理時要準備哪些證件。 + +**微調前(base):** + +Congratulations on your arrival in Taiwan! + +當你想辦手機門號時，預付卡和月租方案都是兩個常見的選擇。下面是一個簡單的比較： + +**預付卡（Prepaid Card）** + +* 优點：可以自行充值，無需每月繳費；可控制使用量。 +* 缺點：需要先充值一定額，否則無法使用；可能有額外的充值費用。 + +**月租方案（Postpaid Plan）** + +* 优點：不需要先充值，毎月繳費；無需額外的充值費用。 +* 缺點：每月繳費，可能會有額外的費用，如數據流量、通話等。 + +在 Taiwanese 手機業界中，預付卡和月租方案都很流行，但月租方案更為普遍。以下是兩… + +**微調後(fine-tuned):** + +當然可以幫助您！以下是預付卡和月租方案的比較： + +預付卡： +- 預付費用通常較高，例如每月500元。 +- 可以在任何時間使用，無需提前通知。 +- 通話、短信和數字通訊服務都包含在費用中。 + +月租方案： +- 月租費用通常較低，例如每月200元。 +- 通話、短信和數字通訊服務都包含在費用中，但可能不包括其他服務，如網路或視頻。 +- 通話和短信可能需要額外的費用，如果您使用大量的服務。 + +為了辦理手機門號，您可能需要提供以下證件： +- 護照或國民身份證 +- 電子郵件地址 +- 手機號碼 +- 一個有效的地址（如住所或公司地址） + +根據您的具體情況，您可能還需要提供其他證件。建議您與手機供應商聯繫，以確定… + +
+ +
+請推薦台南有名的夜市,並列出五樣必吃的小吃,每樣用一兩句話介紹。 + +**微調前(base):** + +台南有許多著名的夜市，以下是一些常見的夜市和五樣必吃小吃： + +1. **台南夜市**（台南市區） + * 這是台南最知名的夜市之一，提供各種 Taiwanese 飲食、服飾等商品。 +2. **安平夜市**（台南市區） + * 這個夜市以其豐富的夜市環境和豐富的美食而聞名，特別是其豐富的 Street Food。 +3. **新化夜市**（新化區） + * 這個夜市以其豐富的美食和豐富的購物環境而聞名，特別是其豐富的 Street Food 和手工製品。 + +以下是五樣必吃的小吃： + +1. **麻辣鍋**（台南夜市或安平夜市） + * 這是一種非常受歡迎的 Taiwanese 飲食，使用麻辣粉末和肉類調理成… + +**微調後(fine-tuned):** + +台南最受歡迎的夜市是中西路夜市和新生路夜市。以下是一些在這兩個夜市上可以找到的小吃： + +1. 中西路夜市：中西路夜市以其豐富多樣的食物而聞名，包括各種小吃、海鮮、肉類和甜點。 + +2. 新生路夜市：新生路夜市以其高品質的食物而聞名，包括各種小吃、海鮮、肉類和甜點。 + +以下是中西路夜市和新生路夜市上可以找到的一些小吃： + +中西路夜市： +- 烤雞：烤雞是一種烤熟的雞肉，通常配上薑、蒜和辣椒。它是一種簡單而美味的食物。 +- 鷹嘴豆腐：鷹嘴豆腐是一種煮熟的豆腐，通常配上醬汁和蔬菜。它是一種口感豐富且營養豐富的食物。 +- 烤魚：烤魚是一種� + +
+ +
+「土豆」這個詞在台灣和中國大陸分別指什麼?請再舉三組兩岸說法不同的日常用語,整理成表格。 + +**微調前(base):** + +「土豆」的意思在台灣是指一種小型的、白色的、扁平的豆類，通常用來做菜或食物。然而，在中國大陸，「土豆」則是指一種長而高大的、白色的、圓形的豆類。 + +以下是兩岸不同日常用語的表格： + +| 語言 | 日常用語 | +| --- | --- | +| 台灣 | 土豆 | +| 中國大陸 | 土豆 | + +另外，以下是一些兩岸不同的日常用語： + +| 語言 | 日常用語 | +| --- | --- | +| 台灣 | 錦路石 (指一種常見的花色) | +| 中國大陸 | 醉酒 (指一種常見的花色) | +| 台灣 | 錦路石 | +| 中國大陸 | 醉酒 | +| 台灣 | 錦路石 (指一種常見的花色) | +| 中國大陸… + +**微調後(fine-tuned):** + +| 語言 | 語義 | +| --- | --- | +| 中文 | 土豆 | +| 台語 | 土豆 | +| 英文 | Potato | + +| 語言 | 語義 | +| --- | --- | +| 中文 | 水果 | +| 台語 | 水果 | +| 英文 | Fruit | + +| 語言 | 語義 | +| --- | --- | +| 中文 | 飾菜 | +| 台語 | 飾菜 | +| 英文 | Vegetable | + +| 語言 | 語義 | +| --- | --- | +| 中文 | 飾菜 | +| 台語 | 飾菜 | +| 英文 | Vegetable | + +| 語言 | 語義 | +| --- | --- | +|… + +
+ +
+請解釋台灣的「垃圾不落地」政策,以及為什麼垃圾車會播放音樂? + +**微調前(base):** + +台灣的「垃圾不落地」政策是由於政府對環境保護和衛生管理的重視。這個政策要求垃圾收集、處理和廢棄地點都要遵守規定，確保垃圾不被遺棄在公共空間中。 + +關於垃圾車播放音樂的原因，我們可以從以下幾點來看： + +1. **警告和引導**：垃圾車上的音樂可能是用來警告人們不要擋路或擋車，讓人們能夠順暢通過。 +2. **安全性**：音樂也可能是用來增加垃圾車的安全性，例如避免人們誤將垃圾車當作一種交通工具。 +3. **環境保護**：音樂也可能是用來促進環境保護，例如鼓勵人們減少垃圾產量和更好地分類垃圾。 + +總之，垃圾車播放音樂的目的是為了提高安全性、環境保護和衛生管理，讓我們能夠更好 + +**微調後(fine-tuned):** + +台灣的「垃圾不落地」政策是指政府要求所有垃圾都要被收集並處理。這個政策旨在減少環境污染，並促進廢棄物管理。 + +垃圾車會播放音樂是因為它們需要在路上移動，同時也要讓人們知道他們正在進行工作。這樣可以避免與其他交通工具發生衝突，並確保安全運行。 + +
+ +## 限制 + +- 事實型內容(電信資費、店家、時刻)可能過時或幻覺,請勿當作查詢工具。 +- 訓練資料含翻譯/合成語料,偶爾仍會滲出簡體中文或英文片段。 +- 未做額外安全對齊,安全行為同 base model。 + +## 授權與合規 + +- 模型權重依 [Llama 3.2 Community License](https://www.llama.com/llama3_2/license/) 發佈(repo 內附 LICENSE.txt 與 NOTICE),使用須遵守 [Acceptable Use Policy](https://www.llama.com/llama3_2/use-policy)。 +- 訓練資料 TaiwanChat 為 [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/):**本模型僅供研究/非商業用途**。 + +## 引用 + +```bibtex +@misc{lin2023taiwanllm, + title={Taiwan LLM: Bridging the Linguistic Divide with a Culturally Aligned Language Model}, + author={Yen-Ting Lin and Yun-Nung Chen}, + year={2023}, + eprint={2311.17487}, + archivePrefix={arXiv} +} +``` + +訓練使用 [Unsloth](https://github.com/unslothai/unsloth)。訓練程式碼:[github.com/tun0000/llama32-taiwanchat-qlora](https://github.com/tun0000/llama32-taiwanchat-qlora) diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..d144a9d --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,139 @@ +{{- bos_token }} +{%- if custom_tools is defined %} + {%- set tools = custom_tools %} +{%- endif %} +{%- if not tools_in_user_message is defined %} + {%- set tools_in_user_message = true %} +{%- endif %} +{%- if not date_string is defined %} + {%- set date_string = "26 July 2024" %} +{%- endif %} +{%- if not tools is defined %} + {%- set tools = none %} +{%- endif %} + +{#- This block extracts the system message, so we can slot it into the right place. #} +{%- if messages[0]['role'] == 'system' %} + {%- set system_message = messages[0]['content'] %} + {%- set messages = messages[1:] %} +{%- else %} + {%- set system_message = "" %} +{%- endif %} + +{#- System message + builtin tools #} +{{- "<|start_header_id|>system<|end_header_id|> + +" }} +{%- if builtin_tools is defined or tools is not none %} + {{- "Environment: ipython +" }} +{%- endif %} +{%- if builtin_tools is defined %} + {{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + " + +"}} +{%- endif %} +{{- "Cutting Knowledge Date: December 2023 +" }} +{{- "Today Date: " + date_string + " + +" }} +{%- if tools is not none and not tools_in_user_message %} + {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }} + {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} + {{- "Do not use variables. + +" }} + {%- for t in tools %} + {{- t | tojson(indent=4) }} + {{- " + +" }} + {%- endfor %} +{%- endif %} +{{- system_message }} +{{- "<|eot_id|>" }} + +{#- Custom tools are passed in a user message with some extra guidance #} +{%- if tools_in_user_message and not tools is none %} + {#- Extract the first user message so we can plug it in here #} + {%- if messages | length != 0 %} + {%- set first_user_message = messages[0]['content'] %} + {%- set messages = messages[1:] %} + {%- else %} + {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }} +{%- endif %} + {{- '<|start_header_id|>user<|end_header_id|> + +' -}} + {{- "Given the following functions, please respond with a JSON for a function call " }} + {{- "with its proper arguments that best answers the given prompt. + +" }} + {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} + {{- "Do not use variables. + +" }} + {%- for t in tools %} + {{- t | tojson(indent=4) }} + {{- " + +" }} + {%- endfor %} + {{- first_user_message + "<|eot_id|>"}} +{%- endif %} + +{%- for message in messages %} + {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %} + {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|> + +'+ message['content'] + '<|eot_id|>' }} + {%- elif 'tool_calls' in message %} + {%- if not message.tool_calls|length == 1 %} + {{- raise_exception("This model only supports single tool-calls at once!") }} + {%- endif %} + {%- set tool_call = message.tool_calls[0].function %} + {%- if builtin_tools is defined and tool_call.name in builtin_tools %} + {{- '<|start_header_id|>assistant<|end_header_id|> + +' -}} + {{- "<|python_tag|>" + tool_call.name + ".call(" }} + {%- for arg_name, arg_val in tool_call.arguments | items %} + {{- arg_name + '="' + arg_val + '"' }} + {%- if not loop.last %} + {{- ", " }} + {%- endif %} + {%- endfor %} + {{- ")" }} + {%- else %} + {{- '<|start_header_id|>assistant<|end_header_id|> + +' -}} + {{- '{"name": "' + tool_call.name + '", ' }} + {{- '"parameters": ' }} + {{- tool_call.arguments | tojson }} + {{- "}" }} + {%- endif %} + {%- if builtin_tools is defined %} + {#- This means we're in ipython mode #} + {{- "<|eom_id|>" }} + {%- else %} + {{- "<|eot_id|>" }} + {%- endif %} + {%- elif message.role == "tool" or message.role == "ipython" %} + {{- "<|start_header_id|>ipython<|end_header_id|> + +" }} + {%- if message.content is mapping or message.content is iterable %} + {{- message.content | tojson }} + {%- else %} + {{- message.content }} + {%- endif %} + {{- "<|eot_id|>" }} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|start_header_id|>assistant<|end_header_id|> + +' }} +{%- endif %} diff --git a/config.json b/config.json new file mode 100644 index 0000000..f66f74c --- /dev/null +++ b/config.json @@ -0,0 +1,37 @@ +{ + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 128000, + "torch_dtype": "bfloat16", + "eos_token_id": 128009, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 3072, + "initializer_range": 0.02, + "intermediate_size": 8192, + "max_position_embeddings": 131072, + "mlp_bias": false, + "model_type": "llama", + "num_attention_heads": 24, + "num_hidden_layers": 28, + "num_key_value_heads": 8, + "pad_token_id": 128004, + "pretraining_tp": 1, + "rms_norm_eps": 1e-05, + "rope_scaling": { + "factor": 32.0, + "high_freq_factor": 4.0, + "low_freq_factor": 1.0, + "original_max_position_embeddings": 8192, + "rope_type": "llama3" + }, + "rope_theta": 500000.0, + "tie_word_embeddings": true, + "unsloth_fixed": true, + "unsloth_version": "2026.7.2", + "use_cache": true, + 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}, + "bos_token": "<|begin_of_text|>", + "clean_up_tokenization_spaces": true, + "eos_token": "<|eot_id|>", + "extra_special_tokens": {}, + "model_input_names": [ + "input_ids", + "attention_mask" + ], + "model_max_length": 131072, + "pad_token": "<|finetune_right_pad_id|>", + "padding_side": "left", + "tokenizer_class": "PreTrainedTokenizerFast", + "unk_token": null, + "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 July 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'] %}\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'] %}\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'] + '<|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" +} \ No newline at end of file