Smaug Flash

Smaug Flash

Abacus.AI
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About

ReinforceNow is an end-to-end platform for continual learning with AI agents, built to help teams deploy, train, and repeat. It lets developers build AI agents and continuously train them on production traffic, or let Claude Code help set it up automatically. It handles reinforcement learning infrastructure, experiment orchestration, agent versioning, GPU training logic, and telemetry, so teams can focus on agent logic, data collection, and rewards. ReinforceNow supports fast LLM fine-tuning with LoRA, high-throughput training, and wide model support for open source models like Qwen, DeepSeek, and GPT-OSS. It provides advanced telemetry to evaluate, monitor, and iterate on AI agent LLM applications, with traces, rewards, experiment metrics, and training observability. Teams can train on long-horizon tasks with 32k to 1 million context size, build vertical agents for multi-turn and long-running tasks, and use rich tooling for reinforcement learning workflows.

About

Smaug Flash is a family of three open-weight models fine-tuned by Abacus.AI for production agentic workloads, with each model positioned at a different point on the capability–efficiency curve. The line is trained using human-curated real-world agentic traces combined with synthetic data grounded in difficult examples, producing gains in agentic coding, real-world tool use, automation, long-context reasoning, and instruction following. Smaug Flash, based on DeepSeek V4 Flash 0731, is the workhorse model for enterprise self-improving agents where speed, efficiency, and reliable agent performance need to coexist. It is specifically tuned to reduce the spins and confusion that can appear during long-context tool use while retaining the base model’s speed advantages. Smaug Mini, based on Qwen3.8 27B, targets multimodal use cases and smaller reasoning tasks in a more compact package, with stronger real-world agentic ability for one-off workflows.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI product teams building production agents that need continuous reinforcement learning, experiment tracking, model fine-tuning, and scalable deployment workflows

Audience

Developers, AI researchers, and enterprises seeking models optimized for coding, tool use, automation, multimodal tasks, and long-running agentic workflows

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

ReinforceNow
United States
www.reinforcenow.ai/

Company Information

Abacus.AI
Founded: 2019
United States
abacus.ai/smaug

Alternatives

Alternatives

MiniMax M3

MiniMax M3

MiniMax
TF-Agents

TF-Agents

Tensorflow
DeepSeek-V4

DeepSeek-V4

DeepSeek
GLM-5

GLM-5

Z.ai
Hy3

Hy3

Tencent
Qwen3.6-Plus

Qwen3.6-Plus

Alibaba

Categories

Categories

Integrations

Amazon Web Services (AWS)
Claude Code
DeepSeek
Google Cloud Platform
Qwen
Runpod
gpt-oss-120b

Integrations

Amazon Web Services (AWS)
Claude Code
DeepSeek
Google Cloud Platform
Qwen
Runpod
gpt-oss-120b
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