koreallmdev/8bcustom-model

TEXT GENERATIONConcurrent Unit Cost:1Model Size:7.6BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jun 23, 2026License:otherArchitecture:Transformer0.0K Featherless Exclusive Cold

The koreallmdev/8bcustom-model is a 7.6 billion parameter local coding assistant model, specifically designed for Korean developers. It excels at providing practical, procedural support for Linux, Docker, vLLM, Open-WebUI, CUDA, JSONL datasets, and LoRA workflows. This model focuses on diagnosing problems and providing exact commands and clear explanations in Korean honorific style, making it highly specialized for operational developer tasks.

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Overview

The koreallmdev/8bcustom-model is a 7.6 billion parameter model developed by koreallmdev, tailored as a local coding assistant for Korean developers. This model is part of a comprehensive DGX AI Factory-style local LLM deployment project, encompassing data preparation, LoRA workflows, model merging, vLLM serving, and Open-WebUI integration. It aims to provide direct, procedural, and operational support for common development tasks.

Key Capabilities

  • Linux & Docker Troubleshooting: Provides commands and explanations for Linux and Docker-related issues.
  • vLLM & Open-WebUI Integration: Assists with setting up and troubleshooting vLLM OpenAI-compatible serving and Open-WebUI connections.
  • CUDA/PyTorch Environment Checks: Helps with verifying and managing CUDA and PyTorch environments.
  • JSONL & LoRA Workflows: Supports JSONL dataset validation and LoRA training/repair processes.
  • Korean Language Support: Delivers step-by-step developer assistance in Korean honorific style.

Performance & Validation

The model achieved an average benchmark score of 97.75, with 20 out of 20 tests passing with a score of 70 or higher, and 20 out of 20 scoring 85 or higher, indicating strong operational reliability. The benchmarking focused on practical developer operations, including Linux, Docker, CUDA checks, vLLM serving, JSONL validation, FastAPI, systemd troubleshooting, and Korean response quality.

Intended Use Cases

This model is ideal for:

  • Local developer assistants and on-premise coding assistant experiments.
  • Practicing vLLM/Open-WebUI deployment.
  • Providing Korean-language coding support.
  • Testing LoRA and dataset pipelines.

It is not intended for use as a security, legal, medical, or financial advisor, and operational outputs should be reviewed before production deployment.