Requests, questions or suggestions? Message me on X: https://x.com/imdariotoo > ⚠️ EXPERIMENTAL RESEARCH ARTIFACT: This repository contains an experimental, code-specialized implementation of Conditional Memory via Scalable Lookup (Engram) (arXiv:2601.07372) trained on top of a 100% frozen Spark-X2.5-1.7B model. > Training status: This Engram module is heavily undertrained. Treat the weights and reported results as preliminary research, not a mature or fully trained release. INVALID LANGUAGE PAIR SPECIFIED. EXAMPLE: LANGPAIR=EN|IT USING 2 LETTER ISO OR RFC3066 LIKE ZH-CN. ALMOST ALL LANGUAGES SUPPORTED BUT SOME MAY HAVE NO CONTENT sahil2801/CodeAlpaca-20k + iamtarun/pythoncodeinstructions (~3M tokens): Multi-language task completions, idiomatic one-liners, standard library manipulations, and docstring-to-code implementations. 3. codeparrot/codeparrot-clean (~10M tokens): Clean real-world repository code, modular package architectures, class hierarchies, and production syntax. Weight-Only Quantization (GPTQ / AWQ / INT4 / INT8): Fully…
Модальности:
Генерация текста
Области применения:
Генерация кода Диалог / чат
Языки программирования:
Python
Задача: Генерация текста
Автор: darioooooo0o
Теги: spark2_5, conditional-memory, engram, deepseek, spark-x2.5, frozen-backbone, code-generation, coding-assistant
Лайков: 3 | Загрузок: 123
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
