mistral-7b-instruct-v0.2-lora Beta
Text Generation • MistralAIThe Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.2.
- LoRA
Playground
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Launch the LLM PlaygroundUsage
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/mistral/mistral-7b-instruct-v0.2-lora", { 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/mistral/mistral-7b-instruct-v0.2-lora", { 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/mistral/mistral-7b-instruct-v0.2-lora", 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/mistral/mistral-7b-instruct-v0.2-lora \ -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
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0object-
promptstring min 1 max 131072The input text prompt for the model to generate a response.
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image-
0arrayAn array of integers that represent the image data constrained to 8-bit unsigned integer values
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itemsnumberA value between 0 and 255
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1stringBinary string representing the image contents.
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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.
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max_tokensinteger default 256The maximum number of tokens to generate in the response.
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temperaturenumber default 0.6 min 0 max 5Controls the randomness of the output; higher values produce more random results.
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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.
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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.
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seedinteger min 1 max 9999999999Random seed for reproducibility of the generation.
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repetition_penaltynumber min 0 max 2Penalty for repeated tokens; higher values discourage repetition.
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frequency_penaltynumber min 0 max 2Decreases the likelihood of the model repeating the same lines verbatim.
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presence_penaltynumber min 0 max 2Increases the likelihood of the model introducing new topics.
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lorastringName of the LoRA (Low-Rank Adaptation) model to fine-tune the base model.
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1object-
messagesarrayAn array of message objects representing the conversation history.
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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.
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image-
0arrayAn array of integers that represent the image data constrained to 8-bit unsigned integer values
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itemsnumberA value between 0 and 255
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1stringBinary string representing the image contents.
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functionsarray-
itemsobject-
namestring -
codestring
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toolsarrayA list of tools available for the assistant to use.
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items-
0object-
namestringThe name of the tool. More descriptive the better.
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descriptionstringA brief description of what the tool does.
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parametersobjectSchema defining the parameters accepted by the tool.
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typestringThe type of the parameters object (usually 'object').
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requiredarrayList of required parameter names.
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itemsstring
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propertiesobjectDefinitions of each parameter.
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additionalPropertiesobject-
typestringThe data type of the parameter.
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descriptionstringA description of the expected parameter.
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1object-
typestringSpecifies the type of tool (e.g., 'function').
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functionobjectDetails of the function tool.
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namestringThe name of the function.
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descriptionstringA brief description of what the function does.
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parametersobjectSchema defining the parameters accepted by the function.
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typestringThe type of the parameters object (usually 'object').
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requiredarrayList of required parameter names.
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itemsstring
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-
propertiesobjectDefinitions of each parameter.
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additionalPropertiesobject-
typestringThe data type of the parameter.
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descriptionstringA description of the expected parameter.
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-
-
-
-
-
-
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streambooleanIf true, the response will be streamed back incrementally.
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max_tokensinteger default 256The maximum number of tokens to generate in the response.
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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.
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repetition_penaltynumber min 0 max 2Penalty for repeated tokens; higher values discourage repetition.
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frequency_penaltynumber min 0 max 2Decreases the likelihood of the model repeating the same lines verbatim.
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presence_penaltynumber min 0 max 2Increases the likelihood of the model introducing new topics.
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Output
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0object-
responsestringThe generated text response from the model
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tool_callsarrayAn array of tool calls requests made during the response generation
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itemsobject-
argumentsobjectThe arguments passed to be passed to the tool call request
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namestringThe name of the tool to be called
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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" } ]}