tyson0420/stack_llama-clang
TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kPublished:Feb 7, 2024License:bigscience-openrail-mArchitecture:Transformer0.0K Open Weights Cold
The tyson0420/stack_llama-clang model is a 7 billion parameter language model with a 4096 token context length. This model is a variant of the Llama architecture, developed by tyson0420. It is designed for general language understanding and generation tasks, providing a foundational base for various NLP applications.
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Model Overview
The tyson0420/stack_llama-clang is a 7 billion parameter language model built upon the Llama architecture, featuring a 4096 token context window. This model is provided as a base for general-purpose language tasks, offering capabilities for text generation and understanding.
Key Characteristics
- Model Type: Llama-based architecture.
- Parameter Count: 7 billion parameters, balancing performance with computational efficiency.
- Context Length: Supports a 4096-token context, suitable for processing moderately long inputs.
Potential Use Cases
Given the limited information in the provided model card, this model is generally suitable for:
- Text Generation: Creating coherent and contextually relevant text.
- Language Understanding: Tasks such as summarization, question answering, and sentiment analysis.
- Foundation Model: Serving as a base for further fine-tuning on specific downstream tasks where a 7B parameter model is appropriate.