Can I use this for batch processing?

Absolutely. The skill includes guidance on using batch inference for processing large-scale prompt sets offline and exporting billing metrics via the CLI.

What fine-tuning methods does this skill support?

The skill supports Supervised Fine-Tuning (SFT) for classification, Reinforcement Fine-Tuning (RFT) for complex reasoning/agents, and Direct Preference Optimization (DPO) for style alignment.

Is Fireworks AI compatible with existing OpenAI SDKs?

Yes, Fireworks AI provides an OpenAI-compatible API, allowing you to use the standard OpenAI Python or Node.js SDKs by simply updating the base URL and API key.

How do I manage datasets with this skill?

The skill provides patterns for using both the Fireworks Python SDK (Dataset.from_file) and the firectl CLI for uploading, listing, and downloading training datasets.

Does this skill support image generation models?

Yes, it includes references and implementation examples for image models like FLUX Kontext Pro/Max and SDXL ControlNet available on the Fireworks platform.

Fireworks AI Inference & Fine-tuning

Name: Fireworks AI Inference & Fine-tuning
Author: lev-os

bylev-os

0•

Data Science & ML

Integrates high-performance inference and LoRA fine-tuning for 100+ open-source LLMs via OpenAI-compatible APIs and the firectl CLI.

The Fireworks AI skill empowers developers to leverage cost-effective, high-speed inference for over 100 open-source models including Llama, DeepSeek, and Qwen. It facilitates advanced fine-tuning workflows—supporting Supervised Fine-Tuning (SFT), Reinforcement Fine-Tuning (RFT), and Direct Preference Optimization (DPO)—while offering OpenAI-compatible APIs for seamless migration. Whether you are scaling serverless inference, deploying on-demand GPUs, or managing datasets via the firectl CLI, this skill provides the implementation patterns and command references needed to integrate production-grade AI capabilities directly into your development environment.

Key Features

010 GitHub stars

02Access to 100+ open-source models including DeepSeek V3, Llama 3.3, and Qwen 2.5

03Comprehensive LoRA fine-tuning support for SFT, RFT, and DPO workflows

04Full firectl CLI reference for dataset management and deployment scaling

05Advanced deployment options including serverless, on-demand GPU, and batch inference

06OpenAI-compatible API patterns for chat completions, embeddings, and reranking

Use Cases

01Automating high-volume data processing tasks using efficient batch inference pipelines

02Migrating OpenAI-based applications to open-source models for significant cost reduction

03Fine-tuning models on custom datasets to improve domain-specific reasoning and accuracy

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add lev-os/agents fireworks-ai

For use in Claude.ai and ChatGPT

Download Skill