Muneerali199/RakshakAI-SecureCoder-7B-v1-merged
Muneerali199/RakshakAI-SecureCoder-7B-v1-merged is a 7.6 billion parameter language model with a 32768-token context length. This model is shared by Muneerali199, but specific details regarding its architecture, training, and primary differentiators are not provided in the available model card. Further information is needed to determine its specialized capabilities or optimal use cases.
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Overview
This model card describes Muneerali199/RakshakAI-SecureCoder-7B-v1-merged, a language model with 7.6 billion parameters and a context length of 32768 tokens. The model is shared by Muneerali199. However, the provided model card indicates that significant details regarding its development, funding, specific model type, language support, license, and finetuning origins are currently marked as "More Information Needed."
Key Capabilities
- Parameter Count: 7.6 billion parameters, suggesting a substantial capacity for various language tasks.
- Context Length: A large context window of 32768 tokens, which can be beneficial for processing longer texts and maintaining coherence over extended conversations or documents.
Limitations and Further Information
Due to the placeholder nature of the current model card, specific direct uses, downstream applications, out-of-scope uses, biases, risks, and training details (including data, procedure, and evaluation) are not yet available. Users are advised that further information is required to understand the model's intended applications, performance characteristics, and any potential limitations or ethical considerations. Recommendations for use are pending more comprehensive documentation.