2025-06-02
The V-Shaped Mystery of Inference Time in Low-Bit Code Models
Table of Links Abstract and Introduction Related Works 2.1 Code LLMs 2.2 Quantization 2.3 Evaluation benchmarks for code LLMs and 2.4 Evaluation metrics 2.5 Low- and high-resource languages Methodology 3.1...
What Makes Code LLMs Accurate?
This section details the evaluation setup for code LLMs using LuaUnit-based unit tests, measuring metrics like pass@1, inference time, LOC, and error types to understand how quantization affects model accuracy...
Inside the Evaluation Pipeline for Code LLMs With LuaUnit
This section details the evaluation setup for code LLMs using LuaUnit-based unit tests, measuring metrics like pass@1, inference time, LOC, and error types to understand how quantization affects model accuracy...
Why Lua Is the Ideal Benchmark for Testing Quantized Code Models
Lua, as a low-resource language with unique features, is ideal for benchmarking quantized code models using multilingual test sets like HumanEval, MBPP, and MCEVAL.
Running Quantized Code Models on a Laptop Without a GPU
This section outlines the Python-based setup and hardware used to run 7B code LLMs via llama-cpp-python, and explains the rationale for model selection.
Evaluation Benchmarks for Code LLMs
Popular benchmarks like HumanEval, MBPP, and MCEVAL test how well code LLMs generate and understand code across languages. Lua is a strong candidate for evaluating low-resource performance due to its...
A Review of Top Open-Source Code LLMs and Quantization Techniques
This section reviews top multilingual code LLMs and explores post-training quantization methods that reduce model size and computational needs with minimal performance loss.
Can LLMs Run on Your Laptop? A Study on Quantized Code Models
This study benchmarks quantized 7B code LLMs for Lua on CPU-only laptops, finding 4-bit quantization offers the best balance between size and performance—though still underperforms compared to top foundational models.
4. Why existing approaches to cause prioritization are not robust to unawareness
Published on June 2, 2025 8:55 AM GMTDiscuss
3. Why impartial altruists should suspend judgment under unawareness
Published on June 2, 2025 8:54 AM GMTDiscuss
2. Why intuitive comparisons of large-scale impact are unjustified
Published on June 2, 2025 8:54 AM GMTDiscuss
1. The challenge of unawareness for impartial altruist action guidance: Introduction
Published on June 2, 2025 8:54 AM GMTDiscuss
Case Studies in MaRDIFlow: Methanization and Cahn-Hilliard Equation Implementations
MaRDIFlow examples: CO2 methanization reactor (nonlinear PDEs) and binary alloy spinodal decomposition (Cahn-Hilliard equation) workflows.
Technical Implementation of MaRDIFlow: Metadata-Driven Workflow Abstraction
MaRDIFlow uses abstract I/O objects with metadata to create multi-level, redundant workflow descriptions enabling reproducible CSE experiments.
What do we do when it breaks?
The unexpected happens. Systems fail, humans are unpredictable, interfaces aren’t perfect… The customer service professional demonstrates their strategic insight when they plan for eventual failure instead of denying it’s possible....
Existing Workflow Solutions: Analyzing Jupyter, CWL, Galaxy, and FMI for Reproducibility
Reviews Jupyter, CWL, Galaxy, FMI for workflow reproducibility. Each has limitations: static nature, incomplete provenance, lack of multi-level abstraction.
New Framework Makes Scientific Computing Workflows Truly Reproducible
MaRDIFlow automates CSE workflow abstraction with ontology-based metadata, multi-layered descriptions, and FAIR principles for reproducible science.
The Product Operating Model Explained
In his latest book, Transformed, Marty Cagan introduces the term The Product Operating Model (POM) which he defines as “How the best tech-powered companies work …— principles, practices, and competencies...
5 Best Ways to Withdraw Crypto Without Losing Your Hard-Earned Gains
Not all crypto withdrawal methods are equal. I compared direct exchange transfers, P2P, online/offline exchangers, and crypto cards — tested each with real rates, calculated final payouts, and revealed where...
30 Things I Wish I Knew Before I Started Web Development
After years of building products, mentoring, and making (a lot of) mistakes, I decided to write this list.
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