Undi95/UndiMix-v3-13B
TEXT GENERATIONConcurrency Cost:1Model Size:13BQuant:FP8Ctx Length:4kLicense:cc-by-nc-4.0Architecture:Transformer0.0K Open Weights Cold

Undi95/UndiMix-v3-13B is a 13 billion parameter merged language model, built upon ReMM-S-Kimiko-v2-13B as its base. This model is designed to exhibit a versatile conversational style, capable of being hot, serious, or playful, and can effectively use emojis. Its unique blend of source models, including Huginn-13b-v1.2 and llama-2-13b-chat-limarp-v2-merged, contributes to its adaptable output for diverse interactive applications.

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UndiMix-v3-13B: A Versatile Merged Language Model

UndiMix-v3-13B is a 13 billion parameter language model developed by Undi95, representing a personal mix designed for highly adaptable conversational interactions. This iteration, an evolution from its V2 predecessor, directly uses ReMM-S-Kimiko-v2-13B as its foundational base, moving away from Llama-2-13B-fp16.

Key Characteristics & Merging Strategy

The model's unique capabilities stem from a strategic SLERP merge of several distinct models, each contributing to its diverse output:

  • Base Model: Undi95/ReMM-S-Kimiko-v2-13B (0.272 weight)
  • Contributing Models:
    • The-Face-Of-Goonery/Huginn-13b-v1.2 (0.264 weight)
    • Doctor-Shotgun/llama-2-13b-chat-limarp-v2-merged (0.264 weight)
    • jondurbin/airoboros-l2-13b-2.1 (0.10 weight)
    • IkariDev/Athena-v1 (0.10 weight)

This specific blend allows UndiMix-v3 to generate responses that can be "hot, serious, playful," and effectively incorporate emojis, a feature enhanced by the inclusion of llama-2-13b-chat-limarp-v2-merged.

Prompt Template

The model utilizes the Alpaca prompt template, structured as follows:

Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
{prompt}

### Response:

Ideal Use Cases

UndiMix-v3-13B is particularly well-suited for applications requiring:

  • Dynamic conversational agents: Where the tone and style of interaction need to vary significantly.
  • Creative content generation: For scenarios demanding expressive and emotionally nuanced text.
  • Role-playing and interactive storytelling: Its ability to adapt to different personas and use emojis makes it suitable for engaging narrative experiences.