ehristoforu/mistral-distil-test-0

TEXT GENERATIONPricing:Input $0.87 / Cached $0.2 / Output $0.99Concurrent Unit Cost:1Model Size:12BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 21, 2024Architecture:Transformer Featherless Exclusive Cold

ehristoforu/mistral-distil-test-0 is a 12 billion parameter language model created by ehristoforu, utilizing a passthrough merge of specific layers from unsloth/Mistral-Nemo-Instruct-2407. This model leverages layers 0-7 and 14-32 from its base model, suggesting an experimental or specialized configuration rather than a full model. Its primary use case is likely for research or specific fine-tuning experiments where a modified layer structure of Mistral-Nemo-Instruct is desired.

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Overview

ehristoforu/mistral-distil-test-0 is a 12 billion parameter language model derived from unsloth/Mistral-Nemo-Instruct-2407 through a passthrough merge. This model was created using mergekit to combine specific layer ranges from the base model, rather than merging distinct models.

Key Characteristics

  • Architecture Base: Built upon the Mistral-Nemo-Instruct architecture.
  • Parameter Count: 12 billion parameters.
  • Context Length: Supports a context length of 32768 tokens.
  • Merge Method: Utilizes a passthrough merge method, selectively incorporating layers 0-7 and 14-32 from the source model.
  • Data Type: Configured to use bfloat16 for its operations.

Good for

  • Experimental Research: Ideal for researchers exploring the impact of specific layer configurations on model performance or behavior.
  • Custom Fine-tuning: Suitable as a base for further fine-tuning where a modified version of Mistral-Nemo-Instruct is preferred.
  • Resource-Constrained Deployment: Potentially offers a more efficient deployment option if the excluded layers are not critical for a specific application, though this is not explicitly stated.