Command R is a Large Language Model optimized for conversational interaction and long context tasks.

Tools 35B

225.1K Pulls Updated 5 weeks ago

5 weeks ago

c9994fa85c15 · 21GB

model
command-r
·
32.3B
·
Q4_1
params
{"stop":["<|START_OF_TURN_TOKEN|>","<|END_OF_TURN_TOKEN|>"]}
license
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system
You are a knowledgable assistant. You can answer questions and perform tasks.
template
{{- if or .Tools .System }}<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|> {{- if .Tools }}# 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. {{ if .System }}# User Preamble {{ .System }} {{- end }} ## Available Tools Here is a list of tools that you have available to you: {{- range .Tools }} ```python def {{ .Function.Name }}( {{- range $name, $property := .Function.Parameters.Properties }}{{ $name }}: {{ $property.Type }}, {{ end }}) -> List[Dict]: '''{{ .Function.Description }} {{- if .Function.Parameters.Properties }} Args: {{- range $name, $property := .Function.Parameters.Properties }} {{ $name }} ({{ $property.Type }}): {{ $property.Description }} {{- end }} {{- end }} ''' pass ``` {{- end }} {{- else if .System }}{{ .System }} {{- end }}<|END_OF_TURN_TOKEN|> {{- end }} {{- range .Messages }} {{- if eq .Role "system" }} {{- continue }} {{- end }}<|START_OF_TURN_TOKEN|> {{- if eq .Role "user" }}<|USER_TOKEN|>{{ .Content }} {{- if $.Tools }}<|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 } ]``` {{- end }} {{- else if eq .Role "assistant" }}<|CHATBOT_TOKEN|> {{- if .Content }}{{ .Content }} {{- else if .ToolCalls }} Action: ```json [ {{- range .ToolCalls }} { "tool_name": "{{ .Function.Name }}", "parameters": {{ .Function.Arguments }} } {{- end }} ]``` {{- end }} {{- else if eq .Role "tool" }}<|SYSTEM_TOKEN|><results> console_output: {{ .Content }} </results> {{- end }}<|END_OF_TURN_TOKEN|> {{- end }}<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>

Readme

Command R is a generative model optimized for long context tasks such as retrieval-augmented generation (RAG) and using external APIs and tools. As a model built for companies to implement at scale, Command R boasts:

  • Strong accuracy on RAG and Tool Use
  • Low latency, and high throughput
  • Longer 128k context
  • Strong capabilities across 10 key languages

There are currently two versions of Command R:

  • Original release tagged v0.1
  • August 2024 update tagged 08-2024

References