Distil* vs ggml.ai

In the contest of Distil* vs ggml.ai, which AI Large Language Model (LLM) tool is the champion? We evaluate pricing, alternatives, upvotes, features, reviews, and more.

If you had to choose between Distil* and ggml.ai, which one would you go for?

When we examine Distil* and ggml.ai, both of which are AI-enabled large language model (llm) tools, what unique characteristics do we discover? In the race for upvotes, Distil* takes the trophy. Distil* has received 7 upvotes from aitools.fyi users, while ggml.ai has received 6 upvotes.

Don't agree with the result? Cast your vote and be a part of the decision-making process!

Distil*

Distil*

What is Distil*?

Discover cutting-edge machine learning with Hugging Face Transformers, which offers state-of-the-art models for Pytorch, TensorFlow, and JAX. Dive into the 'distillation' research project on GitHub to explore how knowledge distillation techniques can compress large, complex models into smaller, faster counterparts without significantly sacrificing performance.

This part of the Hugging Face Transformers repository contains examples and scripts that demonstrate the training and implementation of distilled models such as DistilBERT, DistilRoBERTa, and DistilGPT2. Learn from the detailed documentation and updates about the ongoing improvements, and understand how these models can be used in practical applications for efficient natural language processing.

ggml.ai

ggml.ai

What is ggml.ai?

ggml.ai is at the forefront of AI technology, bringing powerful machine learning capabilities directly to the edge with its innovative tensor library. Built for large model support and high performance on common hardware platforms, ggml.ai enables developers to implement advanced AI algorithms without the need for specialized equipment. The platform, written in the efficient C programming language, offers 16-bit float and integer quantization support, along with automatic differentiation and various built-in optimization algorithms like ADAM and L-BFGS. It boasts optimized performance for Apple Silicon and leverages AVX/AVX2 intrinsics on x86 architectures. Web-based applications can also exploit its capabilities via WebAssembly and WASM SIMD support. With its zero runtime memory allocations and absence of third-party dependencies, ggml.ai presents a minimal and efficient solution for on-device inference.

Projects like whisper.cpp and llama.cpp demonstrate the high-performance inference capabilities of ggml.ai, with whisper.cpp providing speech-to-text solutions and llama.cpp focusing on efficient inference of Meta's LLaMA large language model. Moreover, the company welcomes contributions to its codebase and supports an open-core development model through the MIT license. As ggml.ai continues to expand, it seeks talented full-time developers with a shared vision for on-device inference to join their team.

Designed to push the envelope of AI at the edge, ggml.ai is a testament to the spirit of play and innovation in the AI community.

Distil* Upvotes

7🏆

ggml.ai Upvotes

6

Distil* Top Features

  • Scripts and Configurations: Examples and necessary scripts for training distilled models.

  • Updates and Bug Fixes: Regular updates and bug fixes documented for improved performance.

  • Detailed Documentation: In-depth explanations and usage instructions for each model.

  • State-of-the-art Models: Access to high-performance models that are optimized for speed and size.

  • Multilingual Support: Models like DistilBERT support multiple languages, increasing the versatility of applications.

ggml.ai Top Features

  • Written in C: Ensures high performance and compatibility across a range of platforms.

  • Optimization for Apple Silicon: Delivers efficient processing and lower latency on Apple devices.

  • Support for WebAssembly and WASM SIMD: Facilitates web applications to utilize machine learning capabilities.

  • No Third-Party Dependencies: Makes for an uncluttered codebase and convenient deployment.

  • Guided Language Output Support: Enhances human-computer interaction with more intuitive AI-generated responses.

Distil* Category

    Large Language Model (LLM)

ggml.ai Category

    Large Language Model (LLM)

Distil* Pricing Type

    Free

ggml.ai Pricing Type

    Freemium

Distil* Tags

Hugging Face
Transformers
Knowledge Distillation
DistilBERT
Pytorch
TensorFlow
JAX

ggml.ai Tags

Machine Learning
AI at the Edge
Tensor Library
OpenAI Whisper
Meta LLaMA
Apple Silicon
On-Device Inference
C Programming
High-Performance Computing
By Rishit