greenfield0810/affine-ark-f7392136d357_chal-00255
The greenfield0810/affine-ark-f7392136d357_chal-00255 model is a 35.1 billion parameter language model, archived from kimjongun1982/Affine-5eslbkckgj-camp13. This model serves as a preserved snapshot of a specific challenge instance, offering insights into its original configuration and weights. Its primary utility lies in providing access to a previously gated model for research or archival purposes, with a context length of 32768 tokens.
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Model Overview
This model, greenfield0810/affine-ark-f7392136d357_chal-00255, is an archived version of the kimjongun1982/Affine-5eslbkckgj-camp13 model, specifically challenge chal-00255. It was retrieved from the cascade-wonder/affine-harvest storage bucket due to the original repository being gated, making it accessible for broader use.
Key Characteristics
- Parameter Count: The model features 35.1 billion parameters, indicating a substantial capacity for complex language understanding and generation tasks.
- Context Length: It supports a context length of 32768 tokens, allowing it to process and generate longer sequences of text while maintaining coherence.
- Provenance: Full provenance details are available in the
_affine_provenance.jsonfile, ensuring transparency regarding its origin and modifications. - Archival Purpose: This model primarily serves as an archival record, providing access to a specific instance of a model that was previously restricted.
Use Cases
- Research and Analysis: Ideal for researchers studying the characteristics and performance of models from specific challenges or gated repositories.
- Reproducibility: Enables the reproduction of results or experiments conducted with the original
kimjongun1982/Affine-5eslbkckgj-camp13model. - Historical Data: Useful for those requiring access to historical model weights and configurations for comparative studies or understanding model evolution.