ConicAI LLM Model is a parameter-efficient fine-tuned coding assistant built using LoRA on top of Qwen2.5-Coder. It is designed to generate, debug, and explain code with structured outputs. Developed by: GIRISH KUMAR DEWANGAN Model type: Causal Language Model (Code LLM) Language(s): Python, general programming used for: Code generation, debugging, fixing error, getting evaluation score, check hallucination and relevancy score as well License: Apache 2.0 Finetuned from model: Qwen/Qwen2.5-Coder-0.5B-Instruct Code generation Debugging Code explanation Learning programming Security-critical systems Autonomous production systems * High-risk environments Alw
Модальности:
Генерация текста
Области применения:
Генерация кода Диалог / чат
Задача: Генерация текста
Автор: girish00
Теги: peft, qwen2, lora, coding, code-generation, conversational, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 26
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
