Weyaxi/Einstein-openchat-7B
TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kPublished:Jan 23, 2024License:otherArchitecture:Transformer0.0K Cold
Weyaxi/Einstein-openchat-7B is a 7 billion parameter language model created by Weyaxi, formed by merging Einstein-7B with OpenChat-3.5-0106. This model combines the characteristics of its base models, aiming to leverage their respective strengths. It is suitable for general-purpose conversational AI and instruction-following tasks.
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Overview
Weyaxi/Einstein-openchat-7B is a 7 billion parameter language model developed by Weyaxi. This model is a result of a Lora merge operation, combining the base model Einstein-7B with OpenChat-3.5-0106.
Key Characteristics
- Parameter Count: 7 billion parameters, offering a balance between performance and computational efficiency.
- Architecture: Based on the merged architectures of Einstein-7B and OpenChat-3.5-0106, inheriting capabilities from both.
- Context Length: Supports a context length of 4096 tokens, enabling processing of moderately long inputs.
Potential Use Cases
- General Conversational AI: Suitable for chatbots and interactive agents due to its OpenChat lineage.
- Instruction Following: Can be used for tasks requiring adherence to specific instructions, benefiting from the merged fine-tuning.
- Text Generation: Capable of generating coherent and contextually relevant text across various domains.