biscegliese-qwen2.5-gguf

🐬 Biscegliese-Qwen2.5 — Dialect LLM (GGUF)

A language model based on Qwen2.5‑7B‑Instruct, trained and optimized to understand and generate text in the Biscegliese dialect.
Format: GGUF Q4_K_M, compatible with llama.cpp, LM Studio, KoboldCpp and all GGUF inference engines.

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📌 Overview

Biscegliese‑Qwen2.5 is a model specialized in producing and understanding the Biscegliese dialect, with particular focus on:

• local idiomatic expressions
• dialect phonetics and morphology
• IT → dialect translation
• creative generation (poetry, dialogues, storytelling)
• cultural and linguistic preservation

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🎯 Intended Use

Recommended Uses

• linguistic and dialectological research
• cultural and historical applications
• dialect content generation
• translation and linguistic analysis

Not Recommended

• medical, legal, financial domains
• critical or automated decision‑making
• sensitive or high‑risk content generation

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🧠 Model Details

• Base model: Qwen2.5‑7B‑Instruct
• Format: GGUF
• Quantization: Q4_K_M
• Supported tasks: text‑generation, chat, translation, dialect modeling
• Author: Vincenzo Amoruso
• Version: 1.0

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📚 Training Data

The model was trained on:

• Biscegliese dialect corpus
• cultural and popular texts
• local dialogues and transcriptions
• manually curated datasets

Possible Biases

• non‑neutral cultural representations
• non‑uniform phonetic variations
• potential errors due to limited data availability

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📈 Evaluation

Qualitative Evaluation

The model was tested on:

• IT → dialect translations
• realistic dialogue generation
• comprehension of complex dialect sentences

Example

Input: “Come stai oggi?”
Output: “Com stà ioscè?”

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🔒 Safety & Ethical Considerations

The model may generate:

• grammatical errors
• inaccurate content
• imperfect cultural interpretations

Do not use the model for:

• medical diagnosis
• legal advice
• high‑risk decision‑making

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⚙️ Environmental Impact

• Hardware: Consumer GPU RTX5090
• Training duration: 18 hours
• Estimated consumption: moderate

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🛠️ Inference

Esempio con llama.cpp

./llama-cli -m Qwen2.5-7B-Instruct.Q4_K_M.gguf -p "Traduci la frase in biscegliese
### Italiano:terrazzo 
### Traduzione:"