SvalTek/SOR-ColdBrew-12B-Base-Test3
SvalTek/SOR-ColdBrew-12B-Base-Test3 is a 12 billion parameter language model created by SvalTek, resulting from a merge of TheDrunkenSnail/Son-of-Rhodia and SvalTek/SOR-ColdBrew-12B-Base-Testing using the nuslerp merge method. This model is built upon the redrix/GodSlayer-12B-ABYSS base model and supports a 32768 token context length. It is configured with bfloat16 dtype and uses a chatml chat template, making it suitable for general language generation tasks.
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SvalTek/SOR-ColdBrew-12B-Base-Test3: Merged Language Model
SvalTek/SOR-ColdBrew-12B-Base-Test3 is a 12 billion parameter language model developed by SvalTek, created through a merge operation using mergekit. This model combines the strengths of two distinct pre-trained models: TheDrunkenSnail/Son-of-Rhodia (weighted at 0.4) and SvalTek/SOR-ColdBrew-12B-Base-Testing (weighted at 0.6).
Key Characteristics
- Architecture: Built upon the
redrix/GodSlayer-12B-ABYSSbase model. - Merge Method: Utilizes the
nuslerpmerge method for combining model weights. - Precision: Configured with
bfloat16data type for efficient computation. - Chat Template: Employs the
chatmlchat template, indicating suitability for conversational AI applications. - Tokenizer: Uses a
uniontokenizer source, suggesting broad vocabulary coverage. - Context Length: Supports a substantial context window of 32768 tokens.
Potential Use Cases
This model is designed for general language generation and understanding tasks, particularly those benefiting from a merged architecture. Its chatml template and significant context length make it a candidate for:
- Conversational agents and chatbots.
- Text generation and completion.
- Content creation requiring extended context.
- Applications where a blend of capabilities from its constituent models is desired.