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slai-labs avatar

slai-labs/get-beamArchived

0
View on GitHub↗
103 stars·23 forks·Shell·13 viewsbeam.cloud↗

Get Beam

Hosting for any Python project, big or small. Run AI / ML inference, FastAPI apps, or cron jobs. Beam is the easiest way to run Python on the cloud.

Features

  • General Purpose Models - Serverless infrastructure for deploying and running various language models.

Star history

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How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Get Beam

These projects share indexed features with Get Beam. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • openlmlab/mossOpenLMLab avatar

    OpenLMLab/MOSS

    12,140View on GitHub↗

    MOSS is a conversational AI platform, fine-tuning toolkit, and quantized model runtime. It provides a framework for deploying large language models capable of multi-turn dialogue, general-purpose response generation, and following complex instructions. The system functions as a tool-augmented framework that extends model knowledge through external plugins and tool-call loops. This allows the model to execute tasks via search engines and calculators to augment responses with external data. The project covers model training through supervised conversational fine-tuning and optimizes deployment

    Python
    View on GitHub↗12,140
  • atla-ai/selene-miniatla-ai avatar

    atla-ai/selene-mini

    30View on GitHub↗

    🛝 Playground | 📄 Technical report | 💻 GitHub | 👀 Sign up for the API

    Jupyter Notebook
    View on GitHub↗30
  • blinkdl/rwkv-lmBlinkDL avatar

    BlinkDL/RWKV-LM

    14,568View on GitHub↗

    RWKV-LM is a framework for training and deploying recurrent language models. It utilizes a linear-time recurrent architecture that enables text generation and sequence processing with constant memory and time complexity, avoiding the quadratic scaling of traditional attention caches. The project implements a parallelizable training mechanism that allows recurrent models to be trained using global operations while maintaining cache-free inference. It includes state-tuning capabilities to optimize the initial hidden state and utilizes adaptive probability-mass sampling to control token diversit

    Python
    View on GitHub↗14,568
  • abacaj/mpt-30b-inferenceabacaj avatar

    abacaj/mpt-30B-inference

    574View on GitHub↗

    Run inference on the latest MPT-30B model using your CPU. This inference code uses a ggml quantized model. To run the model we'll use a library called ctransformers that has bindings to ggml in python.

    Python
    View on GitHub↗574
Compare all 25 related projects→

Frequently asked questions

What does slai-labs/get-beam do?

Hosting for any Python project, big or small. Run AI / ML inference, FastAPI apps, or cron jobs. Beam is the easiest way to run Python on the cloud.

What are the main features of slai-labs/get-beam?

The main features of slai-labs/get-beam are: General Purpose Models.

Which projects share features with slai-labs/get-beam?

Projects with overlapping indexed features include: openlmlab/moss — MOSS is a conversational AI platform, fine-tuning toolkit, and quantized model runtime. It provides a framework for… atla-ai/selene-mini — 🛝 Playground | 📄 Technical report | 💻 GitHub | 👀 Sign up for the API. blinkdl/rwkv-lm — RWKV-LM is a framework for training and deploying recurrent language models. It utilizes a linear-time recurrent… databrickslabs/dolly — Dolly is an instruction-tuned large language model designed to follow complex natural language directions. It operates… deepseek-ai/deepseek-llm — DeepSeek-LLM is a large language model and causal language model designed for natural language generation. It… abacaj/mpt-30b-inference — Run inference on the latest MPT-30B model using your CPU. This inference code uses a ggml quantized model. To run the…