Fischerboot/LLama3-Lexi-Aura-3Some-SLERP-SLERP-ql-merge

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kArchitecture:Transformer Warm

Fischerboot/LLama3-Lexi-Aura-3Some-SLERP-SLERP-ql-merge is an 8 billion parameter language model created by Fischerboot, utilizing a passthrough merge of two Llama3-Lexi-Aura-3Some-SLERP-SLERP variants. This model integrates a base model with its QLORA counterpart, aiming to combine their respective strengths. It is designed for general language tasks, leveraging the Llama3 architecture for broad applicability.

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Model Overview

Fischerboot/LLama3-Lexi-Aura-3Some-SLERP-SLERP-ql-merge is an 8 billion parameter language model developed by Fischerboot. This model was constructed using the passthrough merge method via mergekit, combining two distinct components of the Llama3-Lexi-Aura-3Some-SLERP-SLERP family.

Merge Details

This model is a direct merge of:

  • Fischerboot/LLama3-Lexi-Aura-3Some-SLERP-SLERP
  • Fischerboot/LLama3-Lexi-Aura-3Some-SLERP-SLERP-QLORA

The merging process utilized a bfloat16 data type, as specified in the configuration. The passthrough merge method implies a direct combination of the underlying model weights, aiming to consolidate the features and optimizations present in both the base and QLORA versions of the source model.

Potential Use Cases

Given its Llama3 foundation and the merging of a QLORA variant, this model is likely suitable for a range of general-purpose natural language processing tasks, including:

  • Text generation
  • Instruction following
  • Conversational AI
  • Content creation

Developers seeking a model that integrates the benefits of a base model with its QLORA fine-tuned counterpart may find this merge particularly useful for applications requiring a balance of performance and efficiency.

Popular Sampler Settings

Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.

temperature
top_p
top_k
frequency_penalty
presence_penalty
repetition_penalty
min_p