# Documentation

## Docs

- [DeepSeek R1](https://docs.shaktistudio.ai/api-reference/inference/deepseek-R1.md): Create a chat completion for given messages with streaming support using DeepSeek's R1 model, optimized for advanced reasoning and problem-solving tasks
- [DeepSeek V3](https://docs.shaktistudio.ai/api-reference/inference/deepseek-V3.md): Create a chat completion for given messages with streaming support using DeepSeek's V3 model, optimized for reasoning, mathematics, coding, and complex analytical tasks
- [Flux Dev API](https://docs.shaktistudio.ai/api-reference/inference/flux-dev.md): Generate high-quality images using the Flux model
- [Gemma 3 4B](https://docs.shaktistudio.ai/api-reference/inference/gemma3-4B.md): Create a chat completion for given messages with streaming support using Google's Gemma-IT model, optimized for instruction following and conversational AI tasks
- [Llama 3.1 70B API](https://docs.shaktistudio.ai/api-reference/inference/llama3.1-70B.md): Create a chat completion for given messages with streaming support
- [Llama 3.1 8B API](https://docs.shaktistudio.ai/api-reference/inference/llama3.1-8B.md): Create a chat completion for given messages with streaming support
- [LLM Metric API](https://docs.shaktistudio.ai/api-reference/inference/llm-metric.md): Retrieve detailed metrics about token counts, processing time, and performance statistics
- [Qwen 2.5 72B](https://docs.shaktistudio.ai/api-reference/inference/qwen2.5-72B.md): Create a chat completion for given messages with streaming support using Alibaba's Qwen 2.5 72B model, optimized for reasoning, coding, and multilingual understanding
- [Whisper V2 API](https://docs.shaktistudio.ai/api-reference/inference/whisper-v2.md): Process audio files for transcription or translation with advanced options
- [Whisper V3 API](https://docs.shaktistudio.ai/api-reference/inference/whisper-v3.md): Process audio files for transcription or translation with enhanced language support. Supports multiple audio formats and provides detailed word-level timestamps and speaker diarization.
- [Shakti Studio APIs](https://docs.shaktistudio.ai/api-reference/introduction.md)
- [Retrieve List of LLM/VLM Jobs By Org ID](https://docs.shaktistudio.ai/api-reference/training/llm/get-job.md): Fetches a list of all LLM or VLM training jobs associated with the specified organization.
- [Retrieve LLM/VLM Job Details By Request ID](https://docs.shaktistudio.ai/api-reference/training/llm/get-job-by-req.md): Fetch metadata and configuration details of a training job identified by the provided request_id and org_id.
- [Start a new LLM/VLM training job](https://docs.shaktistudio.ai/api-reference/training/llm/start-a-new-llm-vlm-training-job.md): Submit a new training job with the specified configuration, training data, and metadata.
- [Compilation Configurations](https://docs.shaktistudio.ai/configurations/compilation-configurations.md): Reference guide for model compilation configurations, including Optimization settings and Quantization options for different hardware environments.
- [LLM Training Configuration](https://docs.shaktistudio.ai/configurations/llm-training-configuration.md): Detailed guide for configuring LLM training parameters, including input/output features, quantization settings, and prompt templating for combining multiple data columns.
- [Deploying NIM](https://docs.shaktistudio.ai/deploying-nim.md): Guide to deploying NIM on the Simplismart platform
- [Image Generation Models](https://docs.shaktistudio.ai/get-started/playground/image-generation-models.md)
- [Large Language Models](https://docs.shaktistudio.ai/get-started/playground/large-language-models.md)
- [Transcription Models](https://docs.shaktistudio.ai/get-started/playground/transcription-models.md)
- [Model Deployment Guide](https://docs.shaktistudio.ai/guides/deployment-guides.md)
- [Dynamic Lora Compilation](https://docs.shaktistudio.ai/guides/dynamic-lora-compilation.md)
- [Overview](https://docs.shaktistudio.ai/guides/flux-compilation-guide.md): Comprehensive guide for compiling Flux models
- [Multi Control Net](https://docs.shaktistudio.ai/guides/multi-control-net.md)
- [Multi Mode Control Net](https://docs.shaktistudio.ai/guides/multi-mode-control-net.md)
- [Multi Pipeline](https://docs.shaktistudio.ai/guides/multi-pipeline.md)
- [Optimization Guide](https://docs.shaktistudio.ai/guides/optimization-guide.md)
- [Whisper Deployment Guide](https://docs.shaktistudio.ai/guides/whisper-deployment-guide.md)
- [Dedicated Endpoint](https://docs.shaktistudio.ai/inference/dedicated-endpoint.md)
- [Serverless Endpoint](https://docs.shaktistudio.ai/inference/serverless-endpoint.md)
- [Adding a Custom Model](https://docs.shaktistudio.ai/model-suite/adding-a-custom-model.md): Prepare and add a custom model or custom pipeline to the platform using the standard model interface and runtime configuration.
- [Creating a Deployment](https://docs.shaktistudio.ai/model-suite/deployments/creating-a-deployment.md): Steps to guide you through the process of creating a Deployment
- [Deploying a Docker Container](https://docs.shaktistudio.ai/model-suite/deployments/deploy-docker-container.md)
- [Deploying a Custom Model](https://docs.shaktistudio.ai/model-suite/deployments/deploying-a-custom-model.md)
- [Inference & Monitoring](https://docs.shaktistudio.ai/model-suite/deployments/inference-and-monitoring.md)
- [Secrets](https://docs.shaktistudio.ai/model-suite/integrations/secrets.md): Step-by-step instructions for adding a Secret.
- [Optimise a Model](https://docs.shaktistudio.ai/model-suite/optimise-a-model.md): End-to-end process for adding, configuring, and compiling a model on the platform.
- [API Keys](https://docs.shaktistudio.ai/model-suite/settings/api-keys.md)
- [Billing](https://docs.shaktistudio.ai/model-suite/settings/billing.md)
- [Create Organization Profile Contact](https://docs.shaktistudio.ai/model-suite/settings/create-organization-profile-contact.md)
- [Usage](https://docs.shaktistudio.ai/model-suite/settings/usage.md)
- [Workspaces](https://docs.shaktistudio.ai/model-suite/settings/workspaces.md): Scope models and deployments within your organisation using Workspaces
- [Your Organisation](https://docs.shaktistudio.ai/model-suite/settings/your-organisation.md): Manage your organisation(s) and team members within this section
- [Introduction](https://docs.shaktistudio.ai/overview.md)
- [Deploy Your First Model](https://docs.shaktistudio.ai/quickstart/deploy.md): Step-by-step guide to deploying an AI model on Shakti Studio
- [Inference](https://docs.shaktistudio.ai/quickstart/inference.md)
- [Sign Up](https://docs.shaktistudio.ai/quickstart/signup.md): Quickly create an account and unlock full access to our AI workspace
- [Terminology Guide](https://docs.shaktistudio.ai/reference/terminology-guide.md)
- [Deploy Fine-Tuned model](https://docs.shaktistudio.ai/training-suite/deploy-fine-tuned-model.md)
- [Introduction](https://docs.shaktistudio.ai/training-suite/introduction.md)
- [DPO (LLM)](https://docs.shaktistudio.ai/training-suite/llms/dpo-llm.md)
- [GRPO (LLM)](https://docs.shaktistudio.ai/training-suite/llms/grpo-llm.md): Guidelines for preparing train_dataset entries to fine-tune a LLM with text prompts.
- [SFT (LLM)](https://docs.shaktistudio.ai/training-suite/llms/sft-llm.md): Description of your new file.
- [Creating a Training Job](https://docs.shaktistudio.ai/training-suite/llms/training-new.md)
- [Supported Models](https://docs.shaktistudio.ai/training-suite/supported-models.md)
- [GRPO (VLM)](https://docs.shaktistudio.ai/training-suite/vlms/grpo-vlm.md): Guidelines for preparing train_dataset entries to fine-tune a VLM with both images and text prompts.
- [Model Optimization Troubleshooting Guide](https://docs.shaktistudio.ai/troubleshooting-faq/model-compilation-troubleshooting.md): Refer to this guide to ensure proper configuration of infrastructure settings for model compilation and inference. It also helps identify and prevent common issues related to hardware incompatibilities and performance bottlenecks.
- [Model Deployment Troubleshooting Guide](https://docs.shaktistudio.ai/troubleshooting-faq/model-deployment-troubleshooting.md): Follow this comprehensive guide to successfully deploy models on the Shakti Studio platform, from initial configuration to production monitoring.
- [VAD Parameter Tuning](https://docs.shaktistudio.ai/troubleshooting-faq/vad-parameter-tuning.md): Guide to tuning Voice Activity Detection parameters
- [Frequently Asked Questions](https://docs.shaktistudio.ai/troubleshooting-faq/whisper-troubleshooting.md)

## OpenAPI Specs

- [gemma3-4b](https://docs.shaktistudio.ai/openapi-specs/playground/gemma3-4b.yaml)
- [deepseek-r1](https://docs.shaktistudio.ai/openapi-specs/playground/deepseek-r1.yaml)
- [llama-11b](https://docs.shaktistudio.ai/openapi-specs/playground/llama-11b.yaml)
- [qwen2.5-72b](https://docs.shaktistudio.ai/openapi-specs/playground/qwen2.5-72b.yaml)
- [llama-405b](https://docs.shaktistudio.ai/openapi-specs/playground/llama-405b.yaml)
- [gemma3-1b](https://docs.shaktistudio.ai/openapi-specs/playground/gemma3-1b.yaml)
- [deepseek-v3](https://docs.shaktistudio.ai/openapi-specs/playground/deepseek-v3.yaml)
- [llm-training](https://docs.shaktistudio.ai/openapi-specs/playground/llm-training.yaml)
- [flux-training](https://docs.shaktistudio.ai/openapi-specs/playground/flux-training.yaml)
- [llm-metrics](https://docs.shaktistudio.ai/openapi-specs/playground/llm-metrics.yaml)
- [whisper-v3](https://docs.shaktistudio.ai/openapi-specs/playground/whisper-v3.yaml)
- [whisper-v2](https://docs.shaktistudio.ai/openapi-specs/playground/whisper-v2.yaml)
- [flux-dev](https://docs.shaktistudio.ai/openapi-specs/playground/flux-dev.yaml)
- [llama-70b](https://docs.shaktistudio.ai/openapi-specs/playground/llama-70b.yaml)
- [llama-8b](https://docs.shaktistudio.ai/openapi-specs/playground/llama-8b.yaml)
- [Get_All_Jobs_LLM](https://docs.shaktistudio.ai/Get_All_Jobs_LLM.yaml)
- [Get_All_Job_Flux](https://docs.shaktistudio.ai/Get_All_Job_Flux.yaml)
- [GetJobByReq](https://docs.shaktistudio.ai/GetJobByReq.yaml)
- [Flux_Training_Post](https://docs.shaktistudio.ai/Flux_Training_Post.yaml)
- [Flux_Dev_Post_Training](https://docs.shaktistudio.ai/Flux_Dev_Post_Training.yaml)
- [Flux_Dev_Final_1](https://docs.shaktistudio.ai/Flux_Dev_Final_1.yaml)

## Optional

- [Blog](https://yotta.com/shakticloud/Blogs.html)