Envoid/L3.1-8B-Llamoutcast
Envoid/L3.1-8B-Llamoutcast is an 8 billion parameter language model developed by Envoid, based on the Llama-3.1-8B-Instruct architecture with a 32768 token context length. Originally an experimental DADA finetune, it underwent further finetuning on a rawtext dataset, resulting in unique and unconventional outputs. This model is characterized by its 'cursed' nature, making it suitable for exploring unusual text generation and creative applications that benefit from non-standard responses.
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Envoid/L3.1-8B-Llamoutcast: The 'Cursed' Llama-3.1 Variant
Envoid/L3.1-8B-Llamoutcast is an 8 billion parameter language model derived from the Llama-3.1-8B-Instruct architecture, featuring a 32768 token context window. Developed by Envoid, this model began as an experimental DADA finetune, which yielded unsatisfactory results. Subsequent finetuning on a rawtext dataset led to its current, distinctively 'cursed' behavior.
Key Characteristics
- Base Architecture: Llama-3.1-8B-Instruct.
- Parameter Count: 8 billion.
- Context Length: 32768 tokens.
- Finetuning: Initial DADA finetune followed by additional training on a rawtext dataset.
- Response Format: Utilizes Llama-3 Instruct formatting.
- Development Tool: Trained using qlora-pipe.
Unique Differentiator
This model stands out due to its unconventional and often unpredictable outputs, described by its creator as 'utterly cursed.' This characteristic makes it distinct from typical instruction-tuned models aiming for coherence and factual accuracy.
Potential Use Cases
- Experimental Text Generation: Ideal for exploring non-standard or surreal text outputs.
- Creative Writing Prompts: Can generate unusual ideas or narrative elements.
- Artistic AI Projects: Suitable for applications where unexpected or 'cursed' responses are desired.
- Research into Model Behavior: Useful for studying how specific finetuning approaches can lead to divergent model personalities.