LLM-VM logo
LLM-VM
★ 493
vs
xLAM logo
xLAM
★ 641

LLM-VM vs xLAM

LLM-VM: The Anarchy LLM-VM is an optimized backend designed to run open-source LLMs with modern features like tool usage and persistent memory. It acts as a virtual machine for human language, coordinating models, data, prompts, and tools to optimize batch calls and support various architectures.; xLAM: xLAM is a research repository for Large Action Models (LAMs), which aggregates and unifies agent trajectories from diverse environments into a consistent format. It streamlines the creation of a generic data loader optimized for agent training, enabling robust model development across various scenarios.

01

TL;DR

LLM-VM logo
LLM-VMLLM Infra · ★ 493

Accelerate AGI development and prototyping

xLAM logo
xLAMLLM Infra · ★ 641

Function calling in LLMs

02

Side-by-Side Comparison

Field
LLM-VM logoLLM-VM
xLAM logoxLAM
Category
LLM Infra
LLM Infra
Stars
★ 493
★ 641
License
MIT
Apache-2.0
Install Command
pip install llm-vm
pip install -e .
Updated
2y ago
4mo ago
Open Source
Yes
Yes
Tags
LLM, Open Source AI, Inference Optimization
Large Action Models, Function Calling, Agent Training
03

Features

LLM-VM logoLLM-VM
01Implicit Agents
02Inference Optimization
03Task Auto-Optimization
04Library Callable
05HTTP Endpoints
xLAM logoxLAM
01Aggregates agent trajectories from distinct environments
02Standardizes and unifies trajectories into a consistent format
03Optimized generic data loader for agent training
04Maintains equilibrium across different data sources during training
05Supports efficient inference with Transformers and vLLM
04

Use Cases

LLM-VM logoLLM-VM
↳Accelerate AGI development and prototyping
↳Reduce costs for running and testing LLM models locally
↳Flexibly switch and evaluate different open-source LLM models
xLAM logoxLAM
↳Function calling in LLMs
↳Training autonomous agents
↳Multi-turn conversation processing
FAQ

FAQ

What is the difference between LLM-VM and xLAM?
Both LLM-VM and xLAM are in the LLM Infra category. LLM-VM has 493 stars, while xLAM has 641 stars.
Which is better, LLM-VM or xLAM?
The best choice depends on your use case. Choose LLM-VM if Accelerate AGI development and prototyping, and xLAM if Function calling in LLMs.
Is LLM-VM free or open source?
Yes, LLM-VM is open source on GitHub (MIT).
Is xLAM free or open source?
Yes, xLAM is open source on GitHub (Apache-2.0).
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