Upload folder using huggingface_hub

chunks/chunk_100_0.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_0",
+  "text": "Sunflower API Documentation Version 1.0 Date September 2025 Developed by Sunbird AI Table of Contents Introduction Authentication Rate Limiting API Endpoints Error Handling Code Examples Best Practices Troubleshooting Introduction The Sunflower API provides access to Sunbird AIs multilingual language model, specifically designed for Ugandan languages. The API specializes in Multilingual conversations in Ugandan languages (Luganda, Acholi, Ateso, etc.) Cross-lingual translations and explanations "
+}

chunks/chunk_100_1.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_1",
+  "text": "ons in Ugandan languages (Luganda, Acholi, Ateso, etc.) Cross-lingual translations and explanations Cultural context understanding Educational content in local languages Key Features Automatic retry with exponential backoff Context-aware responses Usage tracking and monitoring Support for custom system messages Message history management Professional error handling Model Information Primary Model SunbirdSunflower-14B-FP8 Supported Languages Luganda, Acholi, Ateso, English, and other Ugandan lang"
+}

chunks/chunk_100_10.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_10",
+  "text": "25-09-26T103000Z  Common Error Messages Model Loading (503)  detail  The AI model is currently loading. This usually takes 2-3 minutes. Please try again shortly.  Timeout (504)  detail  The request timed out. Please try again with a shorter prompt or check your network connection.  Invalid Request (400)  detail  Message 0 content cannot be empty  Code Examples Python Examples 1. Basic Chat Completion import requests import json def chatwithsunflower ( messages , apikey , baseurl  httpsapi.sunbir"
+}

chunks/chunk_100_11.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_11",
+  "text": "ion import requests import json def chatwithsunflower ( messages , apikey , baseurl  httpsapi.sunbird.ai )  Send a chat completion request to Sunflower API  url  f   baseurl  taskssunflowerinference headers   Authorization  f Bearer  apikey   , Content-Type  applicationjson  payload   messages  messages , modeltype  qwen , temperature  0.3 , stream  False  try  response  requests . post ( url , headers  headers , json  payload , timeout  30 ) response . raiseforstatus () return response . json ("
+}

chunks/chunk_100_12.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_12",
+  "text": "aders  headers , json  payload , timeout  30 ) response . raiseforstatus () return response . json () except requests . exceptions . RequestException as e  print ( f Request failed  e   ) return None  Example usage apikey  yourapikeyhere messages    role  system , content  You are Sunflower, a multilingual assistant for Ugandan languages made by Sunbird AI. ,  role  user , content  Translate Good morning to Luganda   result  chatwithsunflower ( messages , apikey ) if result  print ( f Response  "
+}

chunks/chunk_100_13.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_13",
+  "text": "morning to Luganda   result  chatwithsunflower ( messages , apikey ) if result  print ( f Response  result  content    ) print ( f Tokens used  result  usage  totaltokens    ) 2. Simple Inference import requests def simpleinference ( instruction , apikey , baseurl  httpsapi.sunbird.ai )  Send a simple inference request to Sunflower API  url  f   baseurl  taskssunflowersimple headers   Authorization  f Bearer  apikey    data   instruction  instruction , modeltype  qwen , temperature  0.3  try  re"
+}

chunks/chunk_100_14.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_14",
+  "text": "n  f Bearer  apikey    data   instruction  instruction , modeltype  qwen , temperature  0.3  try  response  requests . post ( url , headers  headers , data  data , timeout  30 ) response . raiseforstatus () return response . json () except requests . exceptions . RequestException as e  print ( f Request failed  e   ) return None  Example usage apikey  yourapikeyhere instruction  Explain the meaning of Ubuntu in Ugandan context result  simpleinference ( instruction , apikey ) if result  print ( f"
+}

chunks/chunk_100_15.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_15",
+  "text": "g of Ubuntu in Ugandan context result  simpleinference ( instruction , apikey ) if result  print ( f Response  result  response    ) 3. Conversation Management class SunflowerConversation  def init ( self , apikey , baseurl  httpsapi.sunbird.ai ) self . apikey  apikey self . baseurl  baseurl self . messages   def setsystemmessage ( self , message ) Set or update the system message  Remove existing system message self . messages   msg for msg in self . messages if msg  role  ! system   Add new sy"
+}

chunks/chunk_100_16.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_16",
+  "text": " system message self . messages   msg for msg in self . messages if msg  role  ! system   Add new system message at the beginning self . messages . insert ( 0 ,  role  system , content  message ) def addusermessage ( self , content ) Add a user message to the conversation self . messages . append ( role  user , content  content ) def getresponse ( self , modeltype  qwen , temperature  0.3 ) Get AI response and add it to conversation url  f   self . baseurl  taskssunflowerinference headers   Auth"
+}

chunks/chunk_100_17.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_17",
+  "text": " response and add it to conversation url  f   self . baseurl  taskssunflowerinference headers   Authorization  f Bearer  self . apikey   , Content-Type  applicationjson  payload   messages  self . messages , modeltype  modeltype , temperature  temperature  try  response  requests . post ( url , headers  headers , json  payload , timeout  30 ) response . raiseforstatus () result  response . json ()  Add assistant response to conversation self . messages . append ( role  assistant , content  resul"
+}

chunks/chunk_100_18.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_18",
+  "text": "  Add assistant response to conversation self . messages . append ( role  assistant , content  result  content  ) return result except requests . exceptions . RequestException as e  print ( f Request failed  e   ) return None def clearconversation ( self ) Clear conversation history but keep system message systemmessages   msg for msg in self . messages if msg  role   system  self . messages  systemmessages  Example usage conversation  SunflowerConversation ( yourapikeyhere )  Set system message"
+}

chunks/chunk_100_19.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_19",
+  "text": "emmessages  Example usage conversation  SunflowerConversation ( yourapikeyhere )  Set system message conversation . setsystemmessage ( You are Sunflower, a helpful assistant specializing in Ugandan languages and culture. )  Have a conversation conversation . addusermessage ( Hello, can you greet me in Luganda? ) response1  conversation . getresponse () print ( f AI  response1  content    ) conversation . addusermessage ( How do I say thank you in Acholi? ) response2  conversation . getresponse ("
+}

chunks/chunk_100_2.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_2",
+  "text": "SunbirdSunflower-14B-FP8 Supported Languages Luganda, Acholi, Ateso, English, and other Ugandan languages Model Types Qwen Authentication All API requests require authentication using a valid API key. Include your API key in the request headers Authorization Bearer YOURAPIKEY Obtaining API Keys If you dont already have an account, create one at httpsapi.sunbird.airegister and login. Go to the tokens page to get your access token which youll use to authenticate Rate Limiting The API implements ra"
+}

chunks/chunk_100_20.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_20",
+  "text": "ation . addusermessage ( How do I say thank you in Acholi? ) response2  conversation . getresponse () print ( f AI  response2  content    ) 4. Error Handling with Retry Logic import time import random from typing import Optional def sunflowerrequestwithretry ( messages , apikey , maxretries  3 , basedelay  2.0 , baseurl  httpsapi.sunbird.ai ) - Optional  dict   Make a request to Sunflower API with exponential backoff retry  url  f   baseurl  taskssunflowerinference headers   Authorization  f Bea"
+}

chunks/chunk_100_21.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_21",
+  "text": " exponential backoff retry  url  f   baseurl  taskssunflowerinference headers   Authorization  f Bearer  apikey   , Content-Type  applicationjson  payload   messages  messages , modeltype  qwen , temperature  0.3  for attempt in range ( maxretries  1 ) try  response  requests . post ( url , headers  headers , json  payload , timeout  30 ) if response . statuscode  200  return response . json () elif response . statuscode  503   Model loading - retry with longer delay if attempt  maxretries  dela"
+}

chunks/chunk_100_22.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_22",
+  "text": "if response . statuscode  503   Model loading - retry with longer delay if attempt  maxretries  delay  basedelay  ( 2  attempt )  random . uniform ( 0 , 1 ) print ( f Model loading, retrying in  delay  .1f  seconds... ) time . sleep ( delay ) continue elif response . statuscode  429   Rate limited - retry with exponential backoff if attempt  maxretries  delay  basedelay  ( 2  attempt ) print ( f Rate limited, retrying in  delay  .1f  seconds... ) time . sleep ( delay ) continue else  print ( f R"
+}

chunks/chunk_100_23.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_23",
+  "text": "ate limited, retrying in  delay  .1f  seconds... ) time . sleep ( delay ) continue else  print ( f Request failed with status  response . statuscode    response . text   ) return None except requests . exceptions . Timeout  if attempt  maxretries  delay  basedelay  ( 2  attempt ) print ( f Request timed out, retrying in  delay  .1f  seconds... ) time . sleep ( delay ) continue else  print ( Request timed out after all retries ) return None except requests . exceptions . RequestException as e  pr"
+}

chunks/chunk_100_24.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_24",
+  "text": "t timed out after all retries ) return None except requests . exceptions . RequestException as e  print ( f Request failed  e   ) return None print ( All retry attempts exhausted ) return None  Example usage messages    role  user , content  What is the capital of Uganda?   result  sunflowerrequestwithretry ( messages , yourapikeyhere ) if result  print ( f Response  result  content    ) JavaScriptNode.js Examples 1. Basic Chat Completion const axios  require ( axios ) async function chatWithSun"
+}

chunks/chunk_100_25.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_25",
+  "text": "tNode.js Examples 1. Basic Chat Completion const axios  require ( axios ) async function chatWithSunflower ( messages , apiKey , baseUrl  httpsapi.sunbird.ai )  const url    baseUrl  taskssunflowerinference  const headers   Authorization  Bearer  apiKey   , Content-Type  applicationjson  const payload   messages  messages , modeltype  qwen , temperature  0.3 , stream  false  try  const response  await axios . post ( url , payload ,  headers  headers , timeout  30000 ) return response . data   ca"
+}

chunks/chunk_100_26.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_26",
+  "text": "wait axios . post ( url , payload ,  headers  headers , timeout  30000 ) return response . data   catch ( error )  console . error ( Request failed , error . message ) if ( error . response )  console . error ( Response data , error . response . data )  return null     Example usage const apiKey  yourapikeyhere  const messages    role  system , content  You are Sunflower, a multilingual assistant for Ugandan languages. ,  role  user , content  How do you say welcome in Luganda?   chatWithSunflow"
+}

chunks/chunk_100_27.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_27",
+  "text": "for Ugandan languages. ,  role  user , content  How do you say welcome in Luganda?   chatWithSunflower ( messages , apiKey ) . then ( result   if ( result )  console . log ( Response , result . content ) console . log ( Tokens used , result . usage . totaltokens )  ) 2. Simple Inference const FormData  require ( form-data ) const axios  require ( axios ) async function simpleInference ( instruction , apiKey , baseUrl  httpsapi.sunbird.ai )  const url    baseUrl  taskssunflowersimple  const formD"
+}

chunks/chunk_100_28.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_28",
+  "text": "n , apiKey , baseUrl  httpsapi.sunbird.ai )  const url    baseUrl  taskssunflowersimple  const formData  new FormData () formData . append ( instruction , instruction ) formData . append ( modeltype , qwen ) formData . append ( temperature , 0.3 ) const headers   Authorization  Bearer  apiKey   , ... formData . getHeaders ()  try  const response  await axios . post ( url , formData ,  headers  headers , timeout  30000 ) return response . data   catch ( error )  console . error ( Request failed ,"
+}

chunks/chunk_100_29.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_29",
+  "text": "ders , timeout  30000 ) return response . data   catch ( error )  console . error ( Request failed , error . message ) return null     Example usage const apiKey  yourapikeyhere  const instruction  Translate How are you? to Ateso  simpleInference ( instruction , apiKey ) . then ( result   if ( result )  console . log ( Response , result . response )  ) cURL Examples 1. Chat Completion curl -X POST httpsapi.sunbird.aitaskssunflowerinference  -H Authorization Bearer YOURAPIKEY  -H Content-Type app"
+}

chunks/chunk_100_3.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_3",
+  "text": "ns page to get your access token which youll use to authenticate Rate Limiting The API implements rate limiting based on account types Free Tier Limited requests per hour Professional Higher rate limits Enterprise Custom rate limits API Endpoints 1. Chat Completions Endpoint Endpoint POST taskssunflowerinference Professional endpoint for multilingual chat completions with full conversation management. Request Format  messages    role  systemuserassistant , content  Message content  , modeltype  "
+}

chunks/chunk_100_30.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_30",
+  "text": " httpsapi.sunbird.aitaskssunflowerinference  -H Authorization Bearer YOURAPIKEY  -H Content-Type applicationjson  -d  messages   role system, content You are Sunflower, a multilingual assistant for Ugandan languages made by Sunbird AI. ,  role user, content Translate Good evening to Luganda  , modeltype qwen, temperature 0.3  2. Simple Inference curl -X POST httpsapi.sunbird.aitaskssunflowersimple  -H Authorization Bearer YOURAPIKEY  -F instructionWhat are some traditional Ugandan foods?  -F mod"
+}

chunks/chunk_100_31.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_31",
+  "text": "  -H Authorization Bearer YOURAPIKEY  -F instructionWhat are some traditional Ugandan foods?  -F modeltypeqwen  -F temperature0.3 Best Practices 1. Message Management Always include a system message to provide context and improve response quality Keep conversation history relevant - trim old messages to stay within token limits Use clear, specific prompts for better results 2. Error Handling Implement retry logic for transient errors (503, 504, 429) Handle model loading delays - allow 2-3 minute"
+}

chunks/chunk_100_32.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_32",
+  "text": "ment retry logic for transient errors (503, 504, 429) Handle model loading delays - allow 2-3 minutes for cold starts Validate input before sending requests 3. Performance Optimization Use appropriate temperature settings  0.0-0.3 More deterministic, good for translations 0.4-0.7 Balanced creativity 0.8-1.0 More creative responses Consider using simple endpoint for single-turn interactions Implement caching for repeated requests 4. Rate Limiting Monitor rate limit headers in responses Implement "
+}

chunks/chunk_100_33.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_33",
+  "text": "nt caching for repeated requests 4. Rate Limiting Monitor rate limit headers in responses Implement exponential backoff for rate limit exceeded errors Consider request batching where appropriate 5. Security Never expose API keys in client-side code Use environment variables to store credentials Implement proper authentication in your applications Troubleshooting Common Issues and Solutions 1. Model Loading Errors (503) Problem The AI model is currently loading Solutions - Wait 2-3 minutes before"
+}

chunks/chunk_100_34.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_34",
+  "text": "l Loading Errors (503) Problem The AI model is currently loading Solutions - Wait 2-3 minutes before retrying - Implement exponential backoff retry logic - Use longer timeout values during cold starts 2. Empty Responses (502) Problem The model returned an empty response Solutions - Rephrase your request to be more specific - Check if the input contains inappropriate content - Try a different temperature setting 3. Timeout Errors (504) Problem Request times out Solutions - Reduce prompt length - "
+}

chunks/chunk_100_35.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_35",
+  "text": "rature setting 3. Timeout Errors (504) Problem Request times out Solutions - Reduce prompt length - Use simpler queries - Increase timeout values in your code - Check network connectivity 4. Rate Limiting (429) Problem Too many requests Solutions - Implement request queuing - Use exponential backoff - Consider upgrading your account tier 5. Invalid Message Format (400) Problem Message validation errors Solutions - Ensure all messages have role and content fields - Check that content is not empty"
+}

chunks/chunk_100_36.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_36",
+  "text": "rrors Solutions - Ensure all messages have role and content fields - Check that content is not empty - Validate role values (system, user, assistant) Debugging Tips Enable detailed logging to track requestresponse cycles Test with simple queries first before complex conversations Use the simple endpoint to isolate issues Check API status at Sunbird AIs status page Monitor token usage to avoid unexpected costs Support and Resources Getting Help Email Support infosunbird.ai Documentation httpssalt"
+}

chunks/chunk_100_37.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_37",
+  "text": "pected costs Support and Resources Getting Help Email Support infosunbird.ai Documentation httpssalt.sunbird.aidocs  2025 Sunbird AI. All rights reserved. This documentation is subject to updates and improvements. Please check the official documentation website for the latest version."
+}

chunks/chunk_100_4.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_4",
+  "text": "ent. Request Format  messages    role  systemuserassistant , content  Message content  , modeltype  qwen , temperature  0.3 , stream  false , systemmessage  Optional custom system message  Parameters Parameter Type Required Default Description messages Array Yes - List of conversation messages modeltype String No qwen Model type qwen temperature Float No 0.3 Sampling temperature (0.0-2.0) stream Boolean No false Whether to stream the response systemmessage String No null Custom system message Me"
+}

chunks/chunk_100_5.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_5",
+  "text": "oolean No false Whether to stream the response systemmessage String No null Custom system message Message Object Field Type Required Description role String Yes Message role system, user, or assistant content String Yes Message content (cannot be empty) Response Format  content  AI response content , modeltype  qwen , usage   completiontokens  150 , prompttokens  100 , totaltokens  250 , processingtime  2.35 , inferencetime  1.85 , messagecount  3  Response Fields Field Type Description content "
+}

chunks/chunk_100_6.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_6",
+  "text": "gtime  2.35 , inferencetime  1.85 , messagecount  3  Response Fields Field Type Description content String The AIs response modeltype String Model used for inference usage Object Token usage statistics processingtime Float Total processing time in seconds inferencetime Float Model inference time in seconds messagecount Integer Number of messages processed 2. Simple Inference Endpoint Endpoint POST taskssunflowersimple Simplified interface for single instructionresponse interactions. Request Form"
+}

chunks/chunk_100_7.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_7",
+  "text": " taskssunflowersimple Simplified interface for single instructionresponse interactions. Request Format (Form Data)  instruction  Translate Good morning to Luganda , modeltype  qwen , temperature  0.3 , systemmessage  You are Sunflower, a multilingual assistant for Ugandan languages made by Sunbird AI.  Parameter Type Required Default Description instruction String Yes - The instruction or question modeltype String No qwen Model type qwen temperature Float No 0.3 Sampling temperature (0.0-2.0) sy"
+}

chunks/chunk_100_8.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_8",
+  "text": " modeltype String No qwen Model type qwen temperature Float No 0.3 Sampling temperature (0.0-2.0) systemmessage String No null Custom system message Response Format  response  AI response content , modeltype  qwen , processingtime  1.85 , usage   completiontokens  120 , prompttokens  80 , totaltokens  200 , success  true  Error Handling The API uses standard HTTP status codes and provides detailed error messages. HTTP Status Codes Code Description 200 Success 400 Bad Request - Invalid input 401 "
+}

chunks/chunk_100_9.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/sunflower/#__codelineno-3-1",
+  "chunk_id": "100_9",
+  "text": " error messages. HTTP Status Codes Code Description 200 Success 400 Bad Request - Invalid input 401 Unauthorized - Invalid API key 429 Too Many Requests - Rate limit exceeded 500 Internal Server Error 502 Bad Gateway - Empty model response 503 Service Unavailable - Model loading 504 Gateway Timeout - Request timeout Error Response Format  detail  Error description , statuscode  400 , timestamp  2025-09-26T103000Z  Common Error Messages Model Loading (503)  detail  The AI model is currently loadi"
+}

chunks/chunk_10_0.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/overview/",
+  "chunk_id": "10_0",
+  "text": "Sunflower Quantized Inference Overview The Sunflower models are available in 14B and 32B sizes and support 8-bit and 4-bit quantized inference for efficient performance on GPUs with limited memory. Quantization reduces memory requirements while keeping inference quality high, enabling large models to run on consumer-grade GPUs or hardware with limited VRAM. Feature 8-bit 4-bit Memory Usage Higher (16GB for 14B) Lower (10GB for 14B) Speed  Fast  Faster Accuracy Very Good Slightly Lower VRAM Effic"
+}

chunks/chunk_10_1.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/overview/",
+  "chunk_id": "10_1",
+  "text": "(16GB for 14B) Lower (10GB for 14B) Speed  Fast  Faster Accuracy Very Good Slightly Lower VRAM Efficiency Moderate High  Important Do not set both 8-bit and 4-bit modes at the same time.  Sunflower 14B Models 14B 8-bit Balanced memory and accuracy, suitable for most GPUs. 14B 4-bit Optimized for memory-limited GPUs and faster inference, with minimal accuracy trade-off.  Sunflower 32B Models 32B 8-bit High accuracy, requires more GPU memory. 32B 4-bit Reduced memory usage, faster inference, sligh"
+}

chunks/chunk_10_2.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/overview/",
+  "chunk_id": "10_2",
+  "text": "bit High accuracy, requires more GPU memory. 32B 4-bit Reduced memory usage, faster inference, slightly lower accuracy. The usage process is identical for 14B and 32B only model size and quantization type differ. Tips  Best Practices Use 4-bit models when GPU memory is limited or faster inference is needed. 8-bit models offer a good balance of memory usage and accuracy . Always choose either 8-bit or 4-bit for a model. For large inputs or batch processing, monitor GPU memory to avoid out-of-memo"
+}

chunks/chunk_10_3.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/overview/",
+  "chunk_id": "10_3",
+  "text": " or 4-bit for a model. For large inputs or batch processing, monitor GPU memory to avoid out-of-memory errors. Adjust inference parameters (like sequence length or tokens) for optimal performance based on your hardware."
+}

chunks/chunk_11_0.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/inference/",
+  "chunk_id": "11_0",
+  "text": "Sunbird Sunflower Quantized Model Usage Installation  Installation Install the required Python packages bash !pip install torch transformers accelerate bitsandbytes torch  PyTorch library for model computation. transformers  Hugging Face Transformers library for model handling. accelerate  Optimizes model loading across devices. bitsandbytes  Enables efficient 4-bit and 8-bit model quantization. Import the necessary libraries for loading and running the model. import torch import transformers fr"
+}

chunks/chunk_11_1.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/inference/",
+  "chunk_id": "11_1",
+  "text": "mport the necessary libraries for loading and running the model. import torch import transformers from transformers import AutoModelForCausalLM , AutoTokenizer , BitsAndBytesConfig import os from getpass import getpass 3. Authentication  Set your Hugging Face token to access models os . environ  HFTOKEN   getpass ( HFTOKEN  ) 4. Load Tokenizer and Model Replace MODELNAME with the specific model you want to use, e.g., SunbirdSunflower-14B-4bit-nf4-bnb or SunbirdSunflower-14B-8bit-bnb .  Load toke"
+}

chunks/chunk_11_2.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/inference/",
+  "chunk_id": "11_2",
+  "text": "u want to use, e.g., SunbirdSunflower-14B-4bit-nf4-bnb or SunbirdSunflower-14B-8bit-bnb .  Load tokenizer tokenizer  AutoTokenizer . frompretrained ( MODELNAME )  Configure quantization (choose one) quantizationconfig  BitsAndBytesConfig (  For 4-bit models loadin4bit  True , bnb4bitquanttype  nf4 , bnb4bitcomputedtype  torch . bfloat16 , bnb4bitusedoublequant  True ,  For 8-bit models, comment out above and use  loadin8bitTrue,  llmint8threshold6.0 )  Load model model  AutoModelForCausalLM . fr"
+}

chunks/chunk_11_3.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/inference/",
+  "chunk_id": "11_3",
+  "text": "t above and use  loadin8bitTrue,  llmint8threshold6.0 )  Load model model  AutoModelForCausalLM . frompretrained ( MODELNAME , quantizationconfig  quantizationconfig , devicemap  auto ,  or cuda0 for single GPU trustremotecode  True ) Note Only change MODELNAME and adjust quantization parameters. Everything else remains the same for any model. 5. Prepare Chat Prompt  Define system message (assistant role) SYSTEMMESSAGE  You are Sunflower, a multilingual assistant for Ugandan languages made by Su"
+}

chunks/chunk_11_4.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/inference/",
+  "chunk_id": "11_4",
+  "text": "nt role) SYSTEMMESSAGE  You are Sunflower, a multilingual assistant for Ugandan languages made by Sunbird AI. You specialise in accurate translations, explanations, summaries, and other cross-lingual tasks.  Example user prompt prompttext  Sunbird AI is a non-profit research organization in Kampala, Uganda. We build and deploy practical applied machine learning systems for African contexts. userprompt  f Translate to Luganda  prompttext    Structure messages messages    role  system , content  S"
+}

chunks/chunk_11_5.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/inference/",
+  "chunk_id": "11_5",
+  "text": "ompt  f Translate to Luganda  prompttext    Structure messages messages    role  system , content  SYSTEMMESSAGE ,  role  user , content  userprompt    Prepare model input prompt  tokenizer . applychattemplate ( messages , tokenize  False , addgenerationprompt  True ) inputs  tokenizer ( prompt , returntensors  pt ) . to ( model . device ) 6. Configure Text Generation  Streamer outputs tokens in real-time textstreamer  transformers . TextStreamer ( tokenizer , skipprompt  True , skipspecialtoken"
+}

chunks/chunk_11_6.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/inference/",
+  "chunk_id": "11_6",
+  "text": "eal-time textstreamer  transformers . TextStreamer ( tokenizer , skipprompt  True , skipspecialtokens  True )  Generation parameters numbeams  5  Adjust for higher quality generationconfig   maxnewtokens  512 ,  Maximum tokens to generate temperature  0.3 ,  Lower  more deterministic dosample  True ,  Enable sampling norepeatngramsize  5 ,  Avoid repeated phrases numbeams  numbeams ,  Beam search width  Beam search improves output quality but slows generation. TextStreamer works only when numbea"
+}

chunks/chunk_11_7.json

@@ -0,0 +1,5 @@
+{
+  "source_url": "https://salt.sunbird.ai/sunflower/inference/",
+  "chunk_id": "11_7",
+  "text": "width  Beam search improves output quality but slows generation. TextStreamer works only when numbeams  1 . 7. Generate Output  Generate model output outputs  model . generate (  inputs ,  generationconfig , streamer  textstreamer if numbeams  1 else None , )  Decode if using multi-beam search if numbeams  1  response  tokenizer . decode ( outputs  0  len ( inputs  inputids  0 ), skipspecialtokens  True ) print ( response ) Single-beam real-time streaming. Multi-beam output decoded after generat"
+}