TareksLab/DarkThoughts-V3-LLaMa-70B
TareksLab/DarkThoughts-V3-LLaMa-70B is a 70 billion parameter language model created by TareksLab, built upon the Llama 3.3 architecture. This model is a merge of several pre-trained Llama 3.3-based models, including Vulpecula-r1, Wanton-Wolf, and Wayfarer-Large, using the Model Stock merge method. With a 32768 token context length, it is designed to combine the strengths of its constituent models for enhanced general-purpose language generation and understanding.
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DarkThoughts-V3-LLaMa-70B: A Merged Llama 3.3 Model
DarkThoughts-V3-LLaMa-70B is a 70 billion parameter language model developed by TareksLab. It is constructed using the Model Stock merge method, combining multiple Llama 3.3-based models to leverage their collective capabilities. The base model for this merge is huihui-ai/Llama-3.3-70B-Instruct-abliterated.
Key Merge Components
This model integrates the following Llama 3.3-70B variants:
Sao10K/Llama-3.3-70B-Vulpecula-r1Mawdistical/Wanton-Wolf-70BLatitudeGames/Wayfarer-Large-70B-Llama-3.3
Technical Specifications
- Parameter Count: 70 Billion
- Context Length: 32768 tokens
- Merge Method: Model Stock, designed to combine the strengths of its constituent models.
- Tokenizer: Utilizes the tokenizer from
Sao10K/Llama-3.3-70B-Vulpecula-r1, configured for Llama 3 chat templates.
Potential Use Cases
Given its foundation in multiple Llama 3.3-70B models and a substantial context window, DarkThoughts-V3-LLaMa-70B is suitable for:
- Advanced text generation tasks requiring nuanced understanding.
- Applications benefiting from a broad knowledge base and extended context.
- Exploration of merged model performance in complex language understanding and generation scenarios.