--- title: gemma-sea-lion-v4-27b-it description: SEA-LION stands for Southeast Asian Languages In One Network, which is a collection of Large Language Models (LLMs) which have been pretrained and instruct-tuned for the Southeast Asia (SEA) region. image: https://developers.cloudflare.com/dev-products-preview.png --- > Documentation Index > Fetch the complete documentation index at: https://developers.cloudflare.com/workers-ai/llms.txt > Use this file to discover all available pages before exploring further. [Skip to content](#%5Ftop) a # gemma-sea-lion-v4-27b-it Text Generation • aisingapore `@cf/aisingapore/gemma-sea-lion-v4-27b-it` SEA-LION stands for Southeast Asian Languages In One Network, which is a collection of Large Language Models (LLMs) which have been pretrained and instruct-tuned for the Southeast Asia (SEA) region. | Model Info | | | -------------------------------------------------------------------------- | --------------------------------------------------- | | Context Window[ ↗](https://developers.cloudflare.com/workers-ai/glossary/) | 128,000 tokens | | Unit Pricing | $0.35 per M input tokens, $0.56 per M output tokens | ## Playground Try out this model with Workers AI LLM Playground. It does not require any setup or authentication and an instant way to preview and test a model directly in the browser. [ Launch the LLM Playground ](https://playground.ai.cloudflare.com/?model=@cf/aisingapore/gemma-sea-lion-v4-27b-it) ## Usage * [ Worker (Streaming) ](#tab-panel-5037) * [ TypeScript ](#tab-panel-5038) * [ Python ](#tab-panel-5039) * [ curl ](#tab-panel-5040) TypeScript ``` export interface Env { AI: Ai;} export default { async fetch(request, env): Promise { const messages = [ { role: "system", content: "You are a friendly assistant" }, { role: "user", content: "What is the origin of the phrase Hello, World", }, ]; const stream = await env.AI.run("@cf/aisingapore/gemma-sea-lion-v4-27b-it", { messages, stream: true, }); return new Response(stream, { headers: { "content-type": "text/event-stream" }, }); },} satisfies ExportedHandler; ``` ``` export interface Env { AI: Ai;} export default { async fetch(request, env): Promise { const messages = [ { role: "system", content: "You are a friendly assistant" }, { role: "user", content: "What is the origin of the phrase Hello, World", }, ]; const response = await env.AI.run("@cf/aisingapore/gemma-sea-lion-v4-27b-it", { messages }); return Response.json(response); },} satisfies ExportedHandler; ``` ``` import osimport requests ACCOUNT_ID = "your-account-id"AUTH_TOKEN = os.environ.get("CLOUDFLARE_AUTH_TOKEN") prompt = "Tell me all about PEP-8"response = requests.post( f"https://api.cloudflare.com/client/v4/accounts/{ACCOUNT_ID}/ai/run/@cf/aisingapore/gemma-sea-lion-v4-27b-it", headers={"Authorization": f"Bearer {AUTH_TOKEN}"}, json={ "messages": [ {"role": "system", "content": "You are a friendly assistant"}, {"role": "user", "content": prompt} ] })result = response.json()print(result) ``` Terminal window ``` curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run/@cf/aisingapore/gemma-sea-lion-v4-27b-it \ -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" }]}' ``` OpenAI compatible endpoints Workers AI also supports OpenAI compatible API endpoints for `/v1/chat/completions` and `/v1/embeddings`. For more details, refer to [Configurations ](https://developers.cloudflare.com/workers-ai/configuration/open-ai-compatibility/). ## Parameters Synchronous — Send a request and receive a complete response * [ Input ](#tab-panel-5041) * [ Output ](#tab-panel-5042) prompt `string`requiredminLength: 1The input text prompt for the model to generate a response. lora `string`Name of the LoRA (Low-Rank Adaptation) model to fine-tune the base model. ▶response\_format{} `object` raw `boolean`default: falseIf true, a chat template is not applied and you must adhere to the specific model's expected formatting. stream `boolean`default: falseIf true, the response will be streamed back incrementally using SSE, Server Sent Events. max\_tokens `integer`default: 2000The maximum number of tokens to generate in the response. temperature `number`default: 0.6minimum: 0maximum: 5Controls the randomness of the output; higher values produce more random results. top\_p `number`minimum: 0.001maximum: 1Adjusts 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 `integer`minimum: 1maximum: 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. seed `integer`minimum: 1maximum: 9999999999Random seed for reproducibility of the generation. repetition\_penalty `number`minimum: 0maximum: 2Penalty for repeated tokens; higher values discourage repetition. frequency\_penalty `number`minimum: \-2maximum: 2Decreases the likelihood of the model repeating the same lines verbatim. presence\_penalty `number`minimum: \-2maximum: 2Increases the likelihood of the model introducing new topics. id `string`Unique identifier for the completion object `string`enum: chat.completionObject type identifier created `number`Unix timestamp of when the completion was created model `string`Model used for the completion ▶choices\[\] `array`List of completion choices ▶usage{} `object`Usage statistics for the inference request prompt\_logprobs{} `object`Log probabilities for the prompt (if requested) Streaming — Send a request with \`stream: true\` and receive server-sent events * [ Input ](#tab-panel-5043) * [ Output ](#tab-panel-5044) prompt `string`requiredminLength: 1The input text prompt for the model to generate a response. lora `string`Name of the LoRA (Low-Rank Adaptation) model to fine-tune the base model. ▶response\_format{} `object` raw `boolean`default: falseIf true, a chat template is not applied and you must adhere to the specific model's expected formatting. stream `boolean`default: falseIf true, the response will be streamed back incrementally using SSE, Server Sent Events. max\_tokens `integer`default: 2000The maximum number of tokens to generate in the response. temperature `number`default: 0.6minimum: 0maximum: 5Controls the randomness of the output; higher values produce more random results. top\_p `number`minimum: 0.001maximum: 1Adjusts 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 `integer`minimum: 1maximum: 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. seed `integer`minimum: 1maximum: 9999999999Random seed for reproducibility of the generation. repetition\_penalty `number`minimum: 0maximum: 2Penalty for repeated tokens; higher values discourage repetition. frequency\_penalty `number`minimum: \-2maximum: 2Decreases the likelihood of the model repeating the same lines verbatim. presence\_penalty `number`minimum: \-2maximum: 2Increases the likelihood of the model introducing new topics. type `string` contentType `text/event-stream` format `binary` Batch — Send multiple requests in a single API call * [ Input ](#tab-panel-5045) * [ Output ](#tab-panel-5046) ▶requests\[\] `array`required id `string`Unique identifier for the completion object `string`enum: chat.completionObject type identifier created `number`Unix timestamp of when the completion was created model `string`Model used for the completion ▶choices\[\] `array`List of completion choices ▶usage{} `object`Usage statistics for the inference request prompt\_logprobs{} `object`Log probabilities for the prompt (if requested) ## API Schemas (Raw) Synchronous Input [ ](https://developers.cloudflare.com/workers-ai/models/gemma-sea-lion-v4-27b-it/sync-input.json "Open") [ ](https://developers.cloudflare.com/workers-ai/models/gemma-sea-lion-v4-27b-it/sync-input.json "Download") Synchronous Output [ ](https://developers.cloudflare.com/workers-ai/models/gemma-sea-lion-v4-27b-it/sync-output.json "Open") [ ](https://developers.cloudflare.com/workers-ai/models/gemma-sea-lion-v4-27b-it/sync-output.json "Download") Streaming Input [ ](https://developers.cloudflare.com/workers-ai/models/gemma-sea-lion-v4-27b-it/streaming-input.json "Open") [ ](https://developers.cloudflare.com/workers-ai/models/gemma-sea-lion-v4-27b-it/streaming-input.json "Download") Streaming Output [ ](https://developers.cloudflare.com/workers-ai/models/gemma-sea-lion-v4-27b-it/streaming-output.json "Open") [ ](https://developers.cloudflare.com/workers-ai/models/gemma-sea-lion-v4-27b-it/streaming-output.json "Download") Batch Input [ ](https://developers.cloudflare.com/workers-ai/models/gemma-sea-lion-v4-27b-it/batch-input.json "Open") [ ](https://developers.cloudflare.com/workers-ai/models/gemma-sea-lion-v4-27b-it/batch-input.json "Download") Batch Output [ ](https://developers.cloudflare.com/workers-ai/models/gemma-sea-lion-v4-27b-it/batch-output.json "Open") [ ](https://developers.cloudflare.com/workers-ai/models/gemma-sea-lion-v4-27b-it/batch-output.json "Download") ```json {"@context":"https://schema.org","@type":"TechArticle","@id":"https://developers.cloudflare.com/workers-ai/models/gemma-sea-lion-v4-27b-it/#page","headline":"gemma-sea-lion-v4-27b-it (aisingapore) · Cloudflare AI docs · Cloudflare Workers AI docs","description":"SEA-LION stands for Southeast Asian Languages In One Network, which is a collection of Large Language Models (LLMs) which have been pretrained and instruct-tuned for the Southeast Asia (SEA) region.","url":"https://developers.cloudflare.com/workers-ai/models/gemma-sea-lion-v4-27b-it/","inLanguage":"en","image":"https://developers.cloudflare.com/dev-products-preview.png","publisher":{"@type":"Organization","name":"Cloudflare","url":"https://www.cloudflare.com/"},"isPartOf":{"@type":"WebSite","@id":"https://developers.cloudflare.com/#website","name":"Cloudflare Docs","url":"https://developers.cloudflare.com/"}} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"item":{"@id":"/directory/","name":"Directory"}},{"@type":"ListItem","position":2,"item":{"@id":"/workers-ai/","name":"Workers AI"}},{"@type":"ListItem","position":3,"item":{"@id":"/workers-ai/models/","name":"Models"}}]} ```