local-coding-agent
local-agentic-coding-bench-8gb-vram-2026-05
agentic coding benchmark: local LLMs on 8GB VRAM
can local LLMs do agentic coding (multi-turn tool calling, file creation, debugging) on consumer hardware? this dataset captures real test results.
hardware
GPU: NVIDIA RTX 4060 Ti 8GB
CPU: Intel i7-14700F
RAM: 32 GB DDR5
OS: Windows 11 + WSL2 (Ubuntu)
inference: llama-server (turboquant fork of llama.cpp)
what was tested
two agent frameworks:
Hermes Agent (NousResearch): structured tool calling with… See the full description on the dataset page: https://huggingface.co/datasets/witcheer/local-agentic-coding-bench-8gb-vram-2026-05.local-coding-agent-benchmark
🤖 Local Coding Agent Benchmark (LCAB)
Real-world benchmarking of local AI coding agents on software-repair workloads.
This Hugging Face Dataset contains the reproducibility artifacts, raw agent-session evidence, benchmark results, task source, hardware profiles, and analysis for the Local Coding Agent Benchmark (LCAB).
LCAB is designed to evaluate local coding agents as complete systems—not only by tokens/second, but by how efficiently they transform a real software-repair… See the full description on the dataset page: https://huggingface.co/datasets/amitmaity0/local-coding-agent-benchmark.