llama-3.1-8b-instruct Beta
Text Generation • MetaThe Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models. The Llama 3.1 instruction tuned text only models are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks.
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Worker - Streaming
export interface Env { AI: Ai;}
export default { async fetch(request, env): Promise<Response> {
const messages = [ { role: "system", content: "You are a friendly assistant" }, { role: "user", content: "What is the origin of the phrase Hello, World", }, ];
const stream = await env.AI.run("@cf/meta/llama-3.1-8b-instruct", { messages, stream: true, });
return new Response(stream, { headers: { "content-type": "text/event-stream" }, }); },} satisfies ExportedHandler<Env>;Worker
export interface Env { AI: Ai;}
export default { async fetch(request, env): Promise<Response> {
const messages = [ { role: "system", content: "You are a friendly assistant" }, { role: "user", content: "What is the origin of the phrase Hello, World", }, ]; const response = await env.AI.run("@cf/meta/llama-3.1-8b-instruct", { messages });
return Response.json(response); },} satisfies ExportedHandler<Env>;Python
import osimport requests
ACCOUNT_ID = "your-account-id"AUTH_TOKEN = os.environ.get("CLOUDFLARE_AUTH_TOKEN")
prompt = "Tell me all about PEP-8"response = requests.post( f"https://api.cloudflare.com/client/v4/accounts/{ACCOUNT_ID}/ai/run/@cf/meta/llama-3.1-8b-instruct", headers={"Authorization": f"Bearer {AUTH_TOKEN}"}, json={ "messages": [ {"role": "system", "content": "You are a friendly assistant"}, {"role": "user", "content": prompt} ] })result = response.json()print(result)curl
curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run/@cf/meta/llama-3.1-8b-instruct \ -X POST \ -H "Authorization: Bearer $CLOUDFLARE_AUTH_TOKEN" \ -d '{ "messages": [{ "role": "system", "content": "You are a friendly assistant" }, { "role": "user", "content": "Why is pizza so good" }]}'Parameters
Input
- Prompt object
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promptstring min 1 max 131072The input text prompt for the model to generate a response.
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imageone of-
0arrayAn array of integers that represent the image data constrained to 8-bit unsigned integer values
-
itemsnumberA value between 0 and 255
-
-
1stringBinary string representing the image contents.
-
-
rawbooleanIf true, a chat template is not applied and you must adhere to the specific model's expected formatting.
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streambooleanIf true, the response will be streamed back incrementally using SSE, Server Sent Events.
-
max_tokensinteger default 256The maximum number of tokens to generate in the response.
-
temperaturenumber default 0.6 min 0 max 5Controls the randomness of the output; higher values produce more random results.
-
top_pnumber min 0 max 2Adjusts the creativity of the AI's responses by controlling how many possible words it considers. Lower values make outputs more predictable; higher values allow for more varied and creative responses.
-
top_kinteger min 1 max 50Limits the AI to choose from the top 'k' most probable words. Lower values make responses more focused; higher values introduce more variety and potential surprises.
-
seedinteger min 1 max 9999999999Random seed for reproducibility of the generation.
-
repetition_penaltynumber min 0 max 2Penalty for repeated tokens; higher values discourage repetition.
-
frequency_penaltynumber min 0 max 2Decreases the likelihood of the model repeating the same lines verbatim.
-
presence_penaltynumber min 0 max 2Increases the likelihood of the model introducing new topics.
-
lorastringName of the LoRA (Low-Rank Adaptation) model to fine-tune the base model.
-
- Messages object
-
messagesarrayAn array of message objects representing the conversation history.
-
itemsobject-
rolestringThe role of the message sender (e.g., 'user', 'assistant', 'system', 'tool').
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contentstring max 131072The content of the message as a string.
-
-
-
imageone of-
0arrayAn array of integers that represent the image data constrained to 8-bit unsigned integer values
-
itemsnumberA value between 0 and 255
-
-
1stringBinary string representing the image contents.
-
-
functionsarray-
itemsobject-
namestring -
codestring
-
-
-
toolsarrayA list of tools available for the assistant to use.
-
itemsone of-
0object-
namestringThe name of the tool. More descriptive the better.
-
descriptionstringA brief description of what the tool does.
-
parametersobjectSchema defining the parameters accepted by the tool.
-
typestringThe type of the parameters object (usually 'object').
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requiredarrayList of required parameter names.
-
itemsstring
-
-
propertiesobjectDefinitions of each parameter.
-
additionalPropertiesobject-
typestringThe data type of the parameter.
-
descriptionstringA description of the expected parameter.
-
-
-
-
-
1object-
typestringSpecifies the type of tool (e.g., 'function').
-
functionobjectDetails of the function tool.
-
namestringThe name of the function.
-
descriptionstringA brief description of what the function does.
-
parametersobjectSchema defining the parameters accepted by the function.
-
typestringThe type of the parameters object (usually 'object').
-
requiredarrayList of required parameter names.
-
itemsstring
-
-
propertiesobjectDefinitions of each parameter.
-
additionalPropertiesobject-
typestringThe data type of the parameter.
-
descriptionstringA description of the expected parameter.
-
-
-
-
-
-
-
-
streambooleanIf true, the response will be streamed back incrementally.
-
max_tokensinteger default 256The maximum number of tokens to generate in the response.
-
temperaturenumber default 0.6 min 0 max 5Controls the randomness of the output; higher values produce more random results.
-
top_pnumber min 0 max 2Controls the creativity of the AI's responses by adjusting how many possible words it considers. Lower values make outputs more predictable; higher values allow for more varied and creative responses.
-
top_kinteger min 1 max 50Limits the AI to choose from the top 'k' most probable words. Lower values make responses more focused; higher values introduce more variety and potential surprises.
-
seedinteger min 1 max 9999999999Random seed for reproducibility of the generation.
-
repetition_penaltynumber min 0 max 2Penalty for repeated tokens; higher values discourage repetition.
-
frequency_penaltynumber min 0 max 2Decreases the likelihood of the model repeating the same lines verbatim.
-
presence_penaltynumber min 0 max 2Increases the likelihood of the model introducing new topics.
-
Output
-
0object-
responsestringThe generated text response from the model
-
tool_callsarrayAn array of tool calls requests made during the response generation
-
itemsobject-
argumentsobjectThe arguments passed to be passed to the tool call request
-
namestringThe name of the tool to be called
-
-
-
-
1string
API Schemas
The following schemas are based on JSON Schema
{ "type": "object", "oneOf": [ { "title": "Prompt", "properties": { "prompt": { "type": "string", "minLength": 1, "maxLength": 131072, "description": "The input text prompt for the model to generate a response." }, "image": { "oneOf": [ { "type": "array", "description": "An array of integers that represent the image data constrained to 8-bit unsigned integer values", "items": { "type": "number", "description": "A value between 0 and 255" } }, { "type": "string", "format": "binary", "description": "Binary string representing the image contents." } ] }, "raw": { "type": "boolean", "default": false, "description": "If true, a chat template is not applied and you must adhere to the specific model's expected formatting." }, "stream": { "type": "boolean", "default": false, "description": "If true, the response will be streamed back incrementally using SSE, Server Sent Events." }, "max_tokens": { "type": "integer", "default": 256, "description": "The maximum number of tokens to generate in the response." }, "temperature": { "type": "number", "default": 0.6, "minimum": 0, "maximum": 5, "description": "Controls the randomness of the output; higher values produce more random results." }, "top_p": { "type": "number", "minimum": 0, "maximum": 2, "description": "Adjusts the creativity of the AI's responses by controlling how many possible words it considers. Lower values make outputs more predictable; higher values allow for more varied and creative responses." }, "top_k": { "type": "integer", "minimum": 1, "maximum": 50, "description": "Limits the AI to choose from the top 'k' most probable words. Lower values make responses more focused; higher values introduce more variety and potential surprises." }, "seed": { "type": "integer", "minimum": 1, "maximum": 9999999999, "description": "Random seed for reproducibility of the generation." }, "repetition_penalty": { "type": "number", "minimum": 0, "maximum": 2, "description": "Penalty for repeated tokens; higher values discourage repetition." }, "frequency_penalty": { "type": "number", "minimum": 0, "maximum": 2, "description": "Decreases the likelihood of the model repeating the same lines verbatim." }, "presence_penalty": { "type": "number", "minimum": 0, "maximum": 2, "description": "Increases the likelihood of the model introducing new topics." }, "lora": { "type": "string", "description": "Name of the LoRA (Low-Rank Adaptation) model to fine-tune the base model." } }, "required": [ "prompt" ] }, { "title": "Messages", "properties": { "messages": { "type": "array", "description": "An array of message objects representing the conversation history.", "items": { "type": "object", "properties": { "role": { "type": "string", "description": "The role of the message sender (e.g., 'user', 'assistant', 'system', 'tool')." }, "content": { "type": "string", "maxLength": 131072, "description": "The content of the message as a string." } }, "required": [ "role", "content" ] } }, "image": { "oneOf": [ { "type": "array", "description": "An array of integers that represent the image data constrained to 8-bit unsigned integer values", "items": { "type": "number", "description": "A value between 0 and 255" } }, { "type": "string", "format": "binary", "description": "Binary string representing the image contents." } ] }, "functions": { "type": "array", "items": { "type": "object", "properties": { "name": { "type": "string" }, "code": { "type": "string" } }, "required": [ "name", "code" ] } }, "tools": { "type": "array", "description": "A list of tools available for the assistant to use.", "items": { "type": "object", "oneOf": [ { "properties": { "name": { "type": "string", "description": "The name of the tool. More descriptive the better." }, "description": { "type": "string", "description": "A brief description of what the tool does." }, "parameters": { "type": "object", "description": "Schema defining the parameters accepted by the tool.", "properties": { "type": { "type": "string", "description": "The type of the parameters object (usually 'object')." }, "required": { "type": "array", "description": "List of required parameter names.", "items": { "type": "string" } }, "properties": { "type": "object", "description": "Definitions of each parameter.", "additionalProperties": { "type": "object", "properties": { "type": { "type": "string", "description": "The data type of the parameter." }, "description": { "type": "string", "description": "A description of the expected parameter." } }, "required": [ "type", "description" ] } } }, "required": [ "type", "properties" ] } }, "required": [ "name", "description", "parameters" ] }, { "properties": { "type": { "type": "string", "description": "Specifies the type of tool (e.g., 'function')." }, "function": { "type": "object", "description": "Details of the function tool.", "properties": { "name": { "type": "string", "description": "The name of the function." }, "description": { "type": "string", "description": "A brief description of what the function does." }, "parameters": { "type": "object", "description": "Schema defining the parameters accepted by the function.", "properties": { "type": { "type": "string", "description": "The type of the parameters object (usually 'object')." }, "required": { "type": "array", "description": "List of required parameter names.", "items": { "type": "string" } }, "properties": { "type": "object", "description": "Definitions of each parameter.", "additionalProperties": { "type": "object", "properties": { "type": { "type": "string", "description": "The data type of the parameter." }, "description": { "type": "string", "description": "A description of the expected parameter." } }, "required": [ "type", "description" ] } } }, "required": [ "type", "properties" ] } }, "required": [ "name", "description", "parameters" ] } }, "required": [ "type", "function" ] } ] } }, "stream": { "type": "boolean", "default": false, "description": "If true, the response will be streamed back incrementally." }, "max_tokens": { "type": "integer", "default": 256, "description": "The maximum number of tokens to generate in the response." }, "temperature": { "type": "number", "default": 0.6, "minimum": 0, "maximum": 5, "description": "Controls the randomness of the output; higher values produce more random results." }, "top_p": { "type": "number", "minimum": 0, "maximum": 2, "description": "Controls the creativity of the AI's responses by adjusting how many possible words it considers. Lower values make outputs more predictable; higher values allow for more varied and creative responses." }, "top_k": { "type": "integer", "minimum": 1, "maximum": 50, "description": "Limits the AI to choose from the top 'k' most probable words. Lower values make responses more focused; higher values introduce more variety and potential surprises." }, "seed": { "type": "integer", "minimum": 1, "maximum": 9999999999, "description": "Random seed for reproducibility of the generation." }, "repetition_penalty": { "type": "number", "minimum": 0, "maximum": 2, "description": "Penalty for repeated tokens; higher values discourage repetition." }, "frequency_penalty": { "type": "number", "minimum": 0, "maximum": 2, "description": "Decreases the likelihood of the model repeating the same lines verbatim." }, "presence_penalty": { "type": "number", "minimum": 0, "maximum": 2, "description": "Increases the likelihood of the model introducing new topics." } }, "required": [ "messages" ] } ]}{ "oneOf": [ { "type": "object", "contentType": "application/json", "properties": { "response": { "type": "string", "description": "The generated text response from the model" }, "tool_calls": { "type": "array", "description": "An array of tool calls requests made during the response generation", "items": { "type": "object", "properties": { "arguments": { "type": "object", "description": "The arguments passed to be passed to the tool call request" }, "name": { "type": "string", "description": "The name of the tool to be called" } } } } } }, { "type": "string", "contentType": "text/event-stream", "format": "binary" } ]}