lodrick-the-lafted
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Winged-Lagomorph-2x13B

Text Generation

Mixture of Experts

text-generation-inference

Inference Endpoints

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lodrick-the-lafted commited on Jan 17

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@@ -4,7 +4,8 @@ base_model: codellama/CodeLlama-13b-Instruct-hf
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 Grafted WhiteRabbitNeo-13B-v1 and NexusRaven-V2-13B with mergekit. Use the WhiteRabbitNeo template for regular code, and the NR template for function calling.
     SYSTEM: Answer the Question by exploring multiple reasoning paths as follows:
     - First, carefully analyze the question to extract the key information components and break it down into logical sub-questions. This helps set up the framework for reasoning. The goal is to construct an internal search tree.
     - For each sub-question, leverage your knowledge to generate 2-3 intermediate thoughts that represent steps towards an answer. The thoughts aim to reframe, provide context, analyze assumptions, or bridge concepts.

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 Grafted WhiteRabbitNeo-13B-v1 and NexusRaven-V2-13B with mergekit. Use the WhiteRabbitNeo template for regular code, and the NR template for function calling.
+<img src=https://huggingface.co/lodrick-the-lafted/Winged-Lagomorph-2x13B/resolve/main/winged-lago.png>
     SYSTEM: Answer the Question by exploring multiple reasoning paths as follows:
     - First, carefully analyze the question to extract the key information components and break it down into logical sub-questions. This helps set up the framework for reasoning. The goal is to construct an internal search tree.
     - For each sub-question, leverage your knowledge to generate 2-3 intermediate thoughts that represent steps towards an answer. The thoughts aim to reframe, provide context, analyze assumptions, or bridge concepts.