Model Overview

The ruwan/open-llama-sharded-1GB-7B-alpaca-vmware is a 7 billion parameter language model built upon the Open Llama 7B architecture. This model is specifically noted for its sharded nature and its intended use within VMware environments, indicating potential optimizations for virtualized infrastructure.

Key Characteristics

• Architecture: Based on the Open Llama 7B model.
• Parameter Count: 7 billion parameters.
• Sharding: The model is sharded, which typically aids in deployment and resource management.
• Tokenizer: Utilizes the original openlm-research/open_llama_7b tokenizer.
• VMware Compatibility: Explicitly mentioned for VMware, suggesting a focus on deployment in such environments.

Usage Notes

To load and use this model, the original Open Llama tokenizer from openlm-research/open_llama_7b is required. The model itself is loaded with torch_dtype=torch.float16 and device_map='auto', facilitating efficient inference on available hardware.

Good For

• General-purpose text generation based on the Open Llama 7B foundation.
• Experimentation and development within VMware virtualized environments.
• Researchers and developers looking for a sharded 7B model with specific deployment considerations.