positron-ai/Muse-Glimmer-30B
Muse-Glimmer-30B is a 30 billion parameter language model, originally developed by meta-models, with a notable context length of 131,072 tokens. This model is an unmodified redistribution by Positron AI, maintaining byte-identical weights and configuration from its upstream source. It is primarily intended for use as a pinned, immutable source for build and test machinery, with its original capabilities and evaluations detailed in the upstream model card.
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Overview
Muse-Glimmer-30B is a 30 billion parameter large language model, originally developed by meta-models. This specific repository by Positron AI serves as an unmodified redistribution of the upstream model, ensuring byte-identical weights, tokenizer, and configuration files. It features a substantial context length of 131,072 tokens, indicating its potential for processing extensive inputs.
Key Characteristics
- Model Origin: Developed by
meta-modelsand redistributed by Positron AI. - Parameter Count: 30 billion parameters.
- Context Length: Supports a very long context window of 131,072 tokens.
- Immutability: This redistribution is a pinned, immutable snapshot of the original model, ensuring consistency for integration into automated systems.
- No Modifications: Positron AI has made no modifications to the model's architecture, weights, or training; it is a direct copy of the upstream
meta-models/Muse-Glimmer-30B.
Intended Use
This redistribution is primarily intended for use within Positron AI's build and test machinery (CI) as a stable and reliable source. For detailed information regarding the model's specific capabilities, intended applications, and performance evaluations, users are directed to consult the original upstream model card provided by meta-models.