Dev tools · alternatives · 2026

24 alternatives to Quaterion – x100 faster fine-tuning of similarity learning models

Blazing fast framework for fine-tuning similarity learning models - qdrant/quaterion

Quaterion is a software tool for fine-tuning similarity learning models at significantly faster speeds than standard methods. It is designed for developers and machine learning practitioners who need to train models… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Quaterion – x100 faster fine-tuning of similarity learning models launched in 2022; newer entries below may have overtaken it.

1
Quaterion▲61
Train your similarity learning models with ease
2022 · quaterion.qdrant.tech · its alternatives →
2
Qwen3.5 Small▲355
0.8B-9B native multimodal w/ more intelligence, less compute
Mar 2026 · huggingface.co · its alternatives →
3
Qwen3.5▲288
The 397B native multimodal agent with 17B active params
Feb 2026 · qwen.ai · its alternatives →
4
80% faster, 50% less memory, 0% loss of accuracy Llama finetuning▲385
Hi HN! I'm just sharing a project I've been working on during the LLM Efficiency Challenge - you can now finetune Llama with QLoRA 5x faster than Huggingface's original implementation on your own local GPU. Some highlights: 1. Manual autograd engine - hand derived backprop steps. 2. QLoRA / LoRA 80% faster, 50% less memory. 3. All kernels written in OpenAI's Triton language. 4. 0% loss in accuracy - no approximation methods - all exact. 5. No change of hardware necessary. Supports NVIDIA GPUs since 2018+. CUDA 7.5+. 6. Flash Attention support via Xformers. 7. Supports 4bit and 16bit…
2023 · github.com · its alternatives →
5
A radically more scalable alternative to Bayesian Optimization▲96
Experimental Global Optimization Algorithm. Contribute to chrisstroemel/Simple development by creating an account on GitHub.
2018 · github.com · its alternatives →
6
Xcessiv – Fully managed web application for automated machine learning▲108
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python. - reiinakano/xcessiv
2017 · github.com · its alternatives →
7
Qwen-2.5-32B is now the best open source OCR model▲211
Last week was big for open source LLMs. We got: - Qwen 2.5 VL (72b and 32b) - Gemma-3 (27b) - DeepSeek-v3-0324 And a couple weeks ago we got the new mistral-ocr model. We updated our OCR benchmark to include the new models. We evaluated 1,000 documents for JSON extraction accuracy. Major takeaways: - Qwen 2.5 VL (72b and 32b) are by far the most impressive. Both landed right around 75% accuracy (equivalent to GPT-4o’s performance). Qwen 72b was only 0.4% above 32b. Within the margin of error. - Both Qwen models passed mistral-ocr (72.2%), which is specifically trained for OCR. - Gemma-3…
2025 · github.com · its alternatives →
8
Quadratic – Open-Source Spreadsheet with Python, AI (WASM and WebGL)▲224
Hi, I am David Kircos. The Founder of Quadratic (https://QuadraticHQ.com), an open-source spreadsheet application that supports Python, SQL (coming soon), AI Prompts, and classic Formulas. Unlike other spreadsheets, Quadratic has an infinite canvas (like Figma). As a result, you can pinch and zoom to navigate large data sets, and everything renders smoothly at 60fps. Our vision is to build a place where your team can collaborate on data analysis. You can write Python, AI Prompts, and Formulas in one spreadsheet feeding each other data and updating automatically. Quadratic is built…
2023 · quadratichq.com · its alternatives →
9
Timber – Ollama for classical ML models, 336x faster than Python▲207
Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference. - kossisoroyce/timber
Mar 2026 · github.com · its alternatives →
10
Fast vector similarity using Rust and Python▲141
I recently found myself computing the similarity between lots of very high dimensional vectors (i.e., sentence embedding vectors from LLMs), and I wanted to try some more powerful measures of similarity/dependency than just Cosine similarity, which seems to be the default for everything nowadays because of its computational efficiency. There are many other more involved measures that can detect more subtle relationships, but the problem is that some of them are quite slow to compute, especially if you're trying to do it in Python. For my favorite measure of statistical dependency,…
2023 · github.com · its alternatives →
11
Matrix Multiplication with Half the Multiplications▲310
Algebraic enhancements for GEMM & AI accelerators. Contribute to trevorpogue/algebraic-nnhw development by creating an account on GitHub.
2024 · github.com · its alternatives →
12
Shoehorn – Quantize any model down to run on your machine▲99
Working on Mac, Linux, and Windows now. I include a simple GUI to find new models and get things built and set up. It is working quite well across a few models for me. The GitHub README and DESIGN.md files go into detail of the how/why and it's working remarkably well so far. https://github.com/notactuallytreyanastasio/shoehorn
Aug 2026 · notactuallytreyanastasio.github.io · its alternatives →
13
Netmind Power▲272
Hi HN, We just opened public access to Qwen3‑Coder‑480B‑A35B‑Instruct via a REST/SDK API. Why it might be interesting: - Fully open-source (Apache‑2.0): https://github.com/QwenLM/Qwen3-Coder - 480B params (35B active MoE), long context up to 1M tokens with YaRN - Matches Claude Sonnet/GPT‑4o on SWE-Bench Verified (81.6%) - Free tier: 100K tokens/month
2023 · netmind.ai · its alternatives →
14
Rust Vector and Quaternion Lib▲128
I use this library I made for Vectors and Quaternions in many personal projects. I've open-sourced it, in case anyone else would get use out of it. I use this on various projects, including quadcopter firmware, a graphics engine, a cosmology simulation, and several molecular dynamics applications. No_std compatible.
2025 · github.com · its alternatives →
15
Qwen3-235B-A22B-Thinking-2507▲262
Qwen's most advanced reasoning model yet
2025 · huggingface.co · its alternatives →
16
TurboQuant-WASM – Google's vector quantization in the browser▲165
TurboQuant WASM SIMD vector compression — 3 bits/dim with fast dot product. Requires relaxed SIMD (Chrome 114+, Firefox 128+, Safari 18+, Node 20+) - teamchong/turboquant-wasm
Apr 2026 · github.com · its alternatives →
17VT
Visualizing the math that powers 3D character animation▲238
Hi everyone! I'm the author of this project. I wrote it because I think that the math that makes characters move in games and movies is incredibly beautiful, and I wanted to give others a glimpse into it. It's crazy to think that quaternions, an abstract mathematical tool discovered by William Rowan Hamilton in 1843, would be so perfectly suited to solve hard problems in the world of 3D character animation more than a hundred years later. The story of how he discovered quaternions is also beautiful. Here's an excerpt from Wikipedia: "Hamilton was looking for ways of extending complex numbers…
2022 · diegomacario.github.io · its alternatives →
18
Fast Rolling Quantiles for Python▲79
Blazing fast, composable, Pythonic quantile filters. - marmarelis/rolling-quantiles
2021 · github.com · its alternatives →
19
Qwen3.6-35B-A3B▲124
The open sparse MoE model for agentic coding
Apr 2026 · qwen.ai · its alternatives →
20AQ
A Quantum Perceptron – First Steps in QML▲65
2019 · qml.entropicalabs.io · its alternatives →
21
Qwen3.6-27B▲120
The sweet-spot open dense model for coding agents
Apr 2026 · qwen.ai · its alternatives →
22
End-to-end deep learning experimentation platform for Tensorflow▲151
AI Infra / AI Orchestration / AI Control Plane. Contribute to polyaxon/polyaxon development by creating an account on GitHub.
2017 · github.com · its alternatives →
23
QwQ-32B▲197
Matching R1 reasoning yet 20x smaller
2025 · huggingface.co · its alternatives →
24
Distilling DeepSeek into GPT-OSS doesn't transfer censorship. Try it▲170
We recently used DeepSeek V4 Flash as a teacher for finance tasks with GPT-OSS-120B. Distillation works well on this problem. At a constrained 8k token budget, our self-distilled 120B scores 83.61% on FinanceReasoning, above Kimi K3 (81.93%) and Inkling (65.13%). We released the 20B open weights. With V4 as the teacher though, we realized it would be timely to measure if the censorship characteristic of it transferred to the distilled version of the base model. tl;dr it didn't, the teacher answered politically sensitive questions 7 SDs differently than expected, but the distilled model's…
Jul 2026 · ctgt.ai · its alternatives →

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