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.vscode/settings.json

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"search.exclude": {
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"**/dist": true
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},
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"typescript.tsdk": "node_modules/typescript/lib",
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"typescript.tsdk": "node_modules/typescript/lib"
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}

CONTRIBUTING.md

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If you want to format the whole codebase, you can do `pnpm -r format` at the root.
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Other than that, we avoid runtime dependencies unless they're strictly needed. For example, our only dependency is `hash-wasm`, and it's only in the browser context and when uploaded files are > 10MB.
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Other than that, we avoid runtime dependencies unless they're strictly needed. Even then, we prefer vendoring the code.
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## Pull requests
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packages/hub/src/lib/upload-file.spec.ts

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hubUrl: TEST_HUB_URL,
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});
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}
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});
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}, 30_000);
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});
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MIT License
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Copyright (c) 2020 Dani Biró
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Permission is hereby granted, free of charge, to any person obtaining a copy
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Check the beginning of the files from the /src directory.
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Special thank you to the authors of original C algorithms:
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The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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The above copyright notice and this permission notice shall be included in all
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packages/ollama-utils/package.json

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{
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"name": "@huggingface/ollama-utils",
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"packageManager": "[email protected]",
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"version": "0.0.4",
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"version": "0.0.6",
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"description": "Various utilities for maintaining Ollama compatibility with models on Hugging Face hub",
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"repository": "https://github.com/huggingface/huggingface.js.git",
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"publishConfig": {

packages/ollama-utils/src/chat-template-automap.ts

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// This file is auto generated, please do not modify manually
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// To update it, run "pnpm run build:automap"
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import { OllamaChatTemplateMapEntry } from "./types";
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import type { OllamaChatTemplateMapEntry } from "./types";
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/**
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* Skipped these models due to error:
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* - library/qwen2-math:72b
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* - library/falcon:180b
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* - library/stable-beluga:13b
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* - library/firefunction-v2:70b
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* - library/gemma3:12b
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* - library/gemma3:27b
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export const OLLAMA_CHAT_TEMPLATE_MAPPING: OllamaChatTemplateMapEntry[] = [
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{
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model: "library/gemma3:1b",
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gguf: "{{ bos_token }}\n{%- if messages[0]['role'] == 'system' -%}\n {%- set first_user_prefix = messages[0]['content'][0]['text'] + '\n\n' -%}\n {%- set loop_messages = messages[1:] -%}\n{%- else -%}\n {%- set first_user_prefix = \"\" -%}\n {%- set loop_messages = messages -%}\n{%- endif -%}\n{%- for message in loop_messages -%}\n {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}\n {{ raise_exception(\"Conversation roles must alternate user/assistant/user/assistant/...\") }}\n {%- endif -%}\n {%- if (message['role'] == 'assistant') -%}\n {%- set role = \"model\" -%}\n {%- else -%}\n {%- set role = message['role'] -%}\n {%- endif -%}\n {{ '<start_of_turn>' + role + '\n' + (first_user_prefix if loop.first else \"\") }}\n {%- if message['content'] is string -%}\n {{ message['content'] | trim }}\n {%- elif message['content'] is iterable -%}\n {%- for item in message['content'] -%}\n {%- if item['type'] == 'image' -%}\n {{ '<start_of_image>' }}\n {%- elif item['type'] == 'text' -%}\n {{ item['text'] | trim }}\n {%- endif -%}\n {%- endfor -%}\n {%- else -%}\n {{ raise_exception(\"Invalid content type\") }}\n {%- endif -%}\n {{ '<end_of_turn>\n' }}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n {{'<start_of_turn>model\n'}}\n{%- endif -%}\n",
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ollama: {
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template:
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'{{- range $i, $_ := .Messages }}\n{{- $last := eq (len (slice $.Messages $i)) 1 }}\n{{- if or (eq .Role "user") (eq .Role "system") }}<start_of_turn>user\n{{ .Content }}<end_of_turn>\n{{ if $last }}<start_of_turn>model\n{{ end }}\n{{- else if eq .Role "assistant" }}<start_of_turn>model\n{{ .Content }}{{ if not $last }}<end_of_turn>\n{{ end }}\n{{- end }}\n{{- end }}',
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tokens: ["<start_of_turn>", "<start_of_image>", "<end_of_turn>"],
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params: {
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stop: ["<end_of_turn>"],
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temperature: 0.1,
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},
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},
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},
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gguf: "[gMASK]<sop>{% for item in messages %}{% if item['tools'] is defined %}<|system|>\n你是一个名为 ChatGLM 的人工智能助手。你是基于智谱AI训练的语言模型 GLM-4 模型开发的,你的任务是针对用户的问题和要求提供适当的答复和支持。\n\n# 可用工具{% set tools = item['tools'] %}{% for tool in tools %}{% if tool['type'] == 'function' %}\n\n## {{ tool['function']['name'] }}\n\n{{ tool['function'] | tojson(indent=4) }}\n在调用上述函数时,请使用 Json 格式表示调用的参数。{% elif tool['type'] == 'python' %}\n\n## python\n\n当你向 `python` 发送包含 Python 代码的消息时,该代码将会在一个有状态的 Jupyter notebook 环境中执行。\n`python` 返回代码执行的输出,或在执行 60 秒后返回超时。\n`/mnt/data` 将会持久化存储你的文件。在此会话中,`python` 无法访问互联网。不要使用 `python` 进行任何网络请求或者在线 API 调用,这些在线内容的访问将不会成功。{% elif tool['type'] == 'simple_browser' %}\n\n## simple_browser\n\n你可以使用 `simple_browser` 工具。该工具支持以下函数:\n`search(query: str, recency_days: int)`:使用搜索引擎进行查询并显示结果,可以使用 `recency_days` 参数控制搜索内容的时效性。\n`mclick(ids: list[int])`:获取一系列指定 id 的页面内容。每次调用时,须选择3-10个页面。选择多个角度的页面,同时尽可能选择可信任的信息来源。考虑到部分页面是无法加载的,你也可以多打开一些可能有用的页面而不用担心内容过多。\n`open_url(url: str)`:打开指定的 URL。\n\n使用 `【{引用 id}†{引用文本}】` 来引用内容。\n\n操作步骤:1. 使用 `search` 来获得信息列表; 2. 使用 `mclick` 来获取指定 ID 页面的内容; 3. 根据获得的内容进行回复。在回复中应当引用信息来源。\n 如果用户提供了 URL,也可以用 `open_url` 直接打开页面。\n如果初次搜索结果没有找到合适的信息,也可以再次使用 `search` 进行搜索。{% elif tool['type'] == 'cogview' %}\n\n## cogview\n\n如果用户的请求中包含了对图像的描述,你可以使用 `cogview` 来生成图像并展示给用户。你需要向 `cogview` 发送图像描述,规则:\n- 发送给 `cogview` 的消息必须使用英语。用户的中文描述必须完全翻译为英语。\n- 应当尽可能详细地描述图像生成的需求,需求描述约 100 英文单词。\n- 保持用户原始描述的意图。不要虚构内容或者没见过的人物。\n- 如无特殊说明,所在地为中国,持有中国立场并遵循中国社会主义价值观。{% endif %}{% endfor %}{% endif %}{% if item['content'] %}<|{{ item['role'] }}|>{{ item['metadata'] }}\n{{ item['content'] }}{% endif %}{% endfor %}{% if add_generation_prompt %}<|assistant|>{% endif %}",

packages/tasks/src/tasks/chat-completion/inference.ts

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* choices field will always be an empty array. All other chunks will also include a usage
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*/
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include_usage: boolean;
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include_usage?: boolean;
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[property: string]: unknown;
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}
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/**

packages/tasks/src/tasks/chat-completion/spec/input.json

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},
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"ChatCompletionInputStreamOptions": {
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"type": "object",
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"required": ["include_usage"],
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"properties": {
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"include_usage": {
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"type": "boolean",

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