NoirZangetsu/Qwen2.5-0.5B-Flutter-2

base_model: unsloth/qwen2.5-coder-0.5b-instruct-bnb-4bit tags:

• text-generation-inference
• transformers
• unsloth
• qwen2
• gguf license: apache-2.0 language:
• en title: "Uploaded Model" developer: "NoirZangetsu" finetuned_from: "unsloth/qwen2.5-coder-0.5b-instruct-bnb-4bit" description: | This model is fine-tuned from the base model unsloth/qwen2.5-coder-0.5b-instruct-bnb-4bit using Unsloth and Hugging Face's TRL library.

Key Details:

• Developed by: NoirZangetsu
• License: Apache-2.0
• Finetuned from model: unsloth/qwen2.5-coder-0.5b-instruct-bnb-4bit

Model Details:

This Qwen2 model was trained 2x faster with Unsloth and Hugging Face's TRL library. It leverages 4-bit quantization for efficient inference and is available in GGUF format for broad compatibility across inference platforms.

Features:

• Fast fine-tuning process (2x speed-up)
• Low resource consumption with 4-bit quantization
• GGUF format for diverse inference environments
• Suitable for code generation, auto-completion, text generation, summarization, and translation tasks

Usage Areas:

• Code Generation: Enhancing software development with auto-completion and code suggestions.
• Text Generation: Creating, summarizing, and translating text for various NLP tasks.
• Research and Development: An ideal solution for testing and deploying advanced language model applications in both academic and industrial projects.

This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.