win10/DeepSeek-R1-Distill-sthenno-14b-0121-union-tokenizer
win10/DeepSeek-R1-Distill-sthenno-14b-0121-union-tokenizer is a 14.8 billion parameter language model created by win10, merged using the TIES method. It combines sthenno/tempesthenno-ppo-ckpt40 and unsloth/DeepSeek-R1-Distill-Qwen-14B, with sthenno-com/miscii-14b-1225 as its base model. This model features a union tokenizer, integrating special tokens from its constituent models, and is designed for general language tasks, leveraging the strengths of its diverse merged components.
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Overview
This model, created by win10, is a 14.8 billion parameter language model developed using the TIES merge method via mergekit. It integrates the capabilities of several pre-trained models to create a versatile language understanding and generation system. The base model for this merge is sthenno-com/miscii-14b-1225.
Key Capabilities
- Merged Intelligence: Combines the strengths of
sthenno/tempesthenno-ppo-ckpt40andunsloth/DeepSeek-R1-Distill-Qwen-14Bto enhance overall performance. - Union Tokenizer: Utilizes a comprehensive union tokenizer that incorporates special tokens from its merged components, including those for instruction following (
<|im_start|>,<|im_end|>,<|User|>,<|Assistant|>) and potential multimodal or structured data handling (<|object_ref_start|>,<|box_start|>,<|vision_start|>). - Flexible Architecture: Built on a foundation that allows for diverse applications, benefiting from the distinct characteristics of its constituent models.
Good For
- General Language Tasks: Suitable for a broad range of natural language processing applications due to its merged architecture.
- Exploration of Merged Models: Ideal for researchers and developers interested in the performance characteristics of models created via the TIES merging technique.
- Applications requiring specific token handling: The union tokenizer with its rich set of special tokens may be beneficial for tasks involving structured input/output or specific conversational formats.