longtermrisk/Qwen3-8B-target-only-no-hallucination-full
The longtermrisk/Qwen3-8B-target-only-no-hallucination-full is an 8 billion parameter Qwen3 model developed by longtermrisk, fine-tuned from unsloth/Qwen3-8B. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks with a context length of 32768 tokens.
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Model Overview
This model, longtermrisk/Qwen3-8B-target-only-no-hallucination-full, is an 8 billion parameter variant of the Qwen3 architecture. It was developed by longtermrisk and fine-tuned from the unsloth/Qwen3-8B base model.
Key Characteristics
- Architecture: Qwen3
- Parameters: 8 billion
- Context Length: 32768 tokens
- Training Efficiency: The model was fine-tuned using Unsloth and Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods.
- License: Apache-2.0
Potential Use Cases
Given its Qwen3 base and efficient fine-tuning, this model is suitable for a variety of natural language processing tasks. Its 8 billion parameters and substantial context window make it a capable option for applications requiring:
- Text generation
- Summarization
- Question answering
- General conversational AI