C4ai Command R V01 4bit
該模型是從 CohereForAI/c4ai-command-r-v01 轉換為 MLX 格式的 4bit 量化版本,支持多語言對話和工具使用。
下載量 381
發布時間 : 3/13/2024
模型概述
一個強大的多語言對話 AI 模型,支持工具使用和基於文檔的問答,適用於廣泛的交互式任務。
模型特點
多語言支持
支持包括中文在內的10種主要語言對話
工具集成
可調用外部工具如互聯網搜索來增強回答能力
文檔引用
支持基於提供的文檔生成引用來源的回答
MLX 優化
轉換為 MLX 格式並量化,適合在 Apple 芯片上高效運行
模型能力
多語言文本生成
工具調用
文檔引用
問答系統
對話系統
使用案例
信息查詢
事實性問題回答
回答關於世界事實的問題,如動物特徵等
可生成帶引用的準確回答
多語言應用
多語言客服
支持多種語言的客戶服務對話
流暢的多語言交互能力
🚀 mlx-community/c4ai-command-r-v01-4bit
本模型是從 CohereForAI/c4ai-command-r-v01
轉換為 MLX 格式的。有關該模型的更多詳細信息,請參考 原始模型卡片。
🚀 快速開始
📦 安裝指南
要使用此模型與 MLX 配合,需要先安裝 mlx-lm
:
pip install mlx-lm
💻 使用示例
基礎用法
以下是一個簡單的使用示例,展示瞭如何加載模型並生成響應:
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/c4ai-command-r-v01-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
高級用法 - 工具使用 🛠️
此示例展示瞭如何使用工具來增強模型的功能:
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/c4ai-command-r-v01-4bit")
# 使用 command-r 工具使用模板格式化消息
conversation = [
{"role": "user", "content": "Whats the biggest penguin in the world?"}
]
# 定義模型可用的工具:
tools = [
{
"name": "internet_search",
"description": "Returns a list of relevant document snippets for a textual query retrieved from the internet",
"parameter_definitions": {
"query": {
"description": "Query to search the internet with",
"type": 'str',
"required": True
}
}
},
{
'name': "directly_answer",
"description": "Calls a standard (un-augmented) AI chatbot to generate a response given the conversation history",
'parameter_definitions': {}
}
]
formatted_input = tokenizer.apply_tool_use_template(conversation, tools=tools, tokenize=False, add_generation_prompt=True)
response = generate(model, tokenizer, prompt=formatted_input, verbose=True)
提示 [點擊展開]
<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|># Safety Preamble
The instructions in this section override those in the task description and style guide sections. Don't answer questions that are harmful or immoral.
# System Preamble
## Basic Rules
You are a powerful conversational AI trained by Cohere to help people. You are augmented by a number of tools, and your job is to use and consume the output of these tools to best help the user. You will see a conversation history between yourself and a user, ending with an utterance from the user. You will then see a specific instruction instructing you what kind of response to generate. When you answer the user's requests, you cite your sources in your answers, according to those instructions.
# User Preamble
## Task and Context
You help people answer their questions and other requests interactively. You will be asked a very wide array of requests on all kinds of topics. You will be equipped with a wide range of search engines or similar tools to help you, which you use to research your answer. You should focus on serving the user's needs as best you can, which will be wide-ranging.
## Style Guide
Unless the user asks for a different style of answer, you should answer in full sentences, using proper grammar and spelling.
## Available Tools
Here is a list of tools that you have available to you:
```python
def internet_search(query: str) -> List[Dict]:
"""Returns a list of relevant document snippets for a textual query retrieved from the internet
Args:
query (str): Query to search the internet with
"""
pass
```
```python
def directly_answer() -> List[Dict]:
"""Calls a standard (un-augmented) AI chatbot to generate a response given the conversation history
"""
pass
```<|START_OF_TURN_TOKEN|><|USER_TOKEN|>Whats the biggest penguin in the world?<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>Write 'Action:' followed by a json-formatted list of actions that you want to perform in order to produce a good response to the user's last input. You can use any of the supplied tools any number of times, but you should aim to execute the minimum number of necessary actions for the input. You should use the `directly-answer` tool if calling the other tools is unnecessary. The list of actions you want to call should be formatted as a list of json objects, for example:
```json
[
{
"tool_name": title of the tool in the specification,
"parameters": a dict of parameters to input into the tool as they are defined in the specs, or {} if it takes no parameters
}
]```<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>
Action:```json
[
{
"tool_name": "internet_search",
"parameters": {
"query": "biggest penguin in the world"
}
}
]
```
高級用法 - RAG 使用 📚
此示例展示瞭如何使用檢索增強生成(RAG)來增強模型的回答:
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/c4ai-command-r-v01-4bit")
# 使用 command-r 工具使用模板格式化消息
conversation = [
{"role": "user", "content": "Whats the biggest penguin in the world?"}
]
# 定義用於基礎的文檔:
documents = [
{ "title": "Tall penguins", "text": "Emperor penguins are the tallest growing up to 122 cm in height." },
{ "title": "Penguin habitats", "text": "Emperor penguins only live in Antarctica."}
]
formatted_input = tokenizer.apply_grounded_generation_template(
conversation,
documents=documents,
citation_mode="accurate", # or "fast"
tokenize=False,
add_generation_prompt=True,
)
response = generate(model, tokenizer, prompt=formatted_input, verbose=True)
提示 [點擊展開]
<BOS_TOKEN><BOS_TOKEN><|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|># Safety Preamble
The instructions in this section override those in the task description and style guide sections. Don't answer questions that are harmful or immoral.
# System Preamble
## Basic Rules
You are a powerful conversational AI trained by Cohere to help people. You are augmented by a number of tools, and your job is to use and consume the output of these tools to best help the user. You will see a conversation history between yourself and a user, ending with an utterance from the user. You will then see a specific instruction instructing you what kind of response to generate. When you answer the user's requests, you cite your sources in your answers, according to those instructions.
# User Preamble
## Task and Context
You help people answer their questions and other requests interactively. You will be asked a very wide array of requests on all kinds of topics. You will be equipped with a wide range of search engines or similar tools to help you, which you use to research your answer. You should focus on serving the user's needs as best you can, which will be wide-ranging.
## Style Guide
Unless the user asks for a different style of answer, you should answer in full sentences, using proper grammar and spelling.<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|USER_TOKEN|>Whats the biggest penguin in the world?<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|><results>
Document: 0
title: Tall penguins
text: Emperor penguins are the tallest growing up to 122 cm in height.
Document: 1
title: Penguin habitats
text: Emperor penguins only live in Antarctica.
</results><|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>Carefully perform the following instructions, in order, starting each with a new line.
Firstly, Decide which of the retrieved documents are relevant to the user's last input by writing 'Relevant Documents:' followed by comma-separated list of document numbers. If none are relevant, you should instead write 'None'.
Secondly, Decide which of the retrieved documents contain facts that should be cited in a good answer to the user's last input by writing 'Cited Documents:' followed a comma-separated list of document numbers. If you dont want to cite any of them, you should instead write 'None'.
Thirdly, Write 'Answer:' followed by a response to the user's last input in high quality natural english. Use the retrieved documents to help you. Do not insert any citations or grounding markup.
Finally, Write 'Grounded answer:' followed by a response to the user's last input in high quality natural english. Use the symbols <co: doc> and </co: doc> to indicate when a fact comes from a document in the search result, e.g <co: 0>my fact</co: 0> for a fact from document 0.<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>
Relevant Documents: 0,1
Cited Documents: 0
Answer: The tallest species of penguin in the world is the emperor penguin (Aptenodytes forsteri), which can reach heights of up to 122 cm.
Grounded answer: The tallest species of penguin in the world is the <co: 0>emperor penguin</co: 0> <co: 0>(Aptenodytes forsteri)</co: 0>, which can reach <co: 0>heights of up to 122 cm.</co: 0>
📚 詳細文檔
- 支持語言:英語、法語、德語、西班牙語、意大利語、葡萄牙語、日語、韓語、中文、阿拉伯語
- 庫名稱:transformers
- 標籤:mlx
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