wgcyeo/ci-sft_Llama-3.1-8B-Instruct_lr1e-6_ep30
The wgcyeo/ci-sft_Llama-3.1-8B-Instruct_lr1e-6_ep30 is an 8 billion parameter instruction-tuned language model, fine-tuned from the Llama 3.1 architecture. This model has a context length of 32768 tokens. Its specific fine-tuning objective and primary differentiators are not detailed in the provided information, suggesting it is a general-purpose instruction-following model.
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Model Overview
This model, wgcyeo/ci-sft_Llama-3.1-8B-Instruct_lr1e-6_ep30, is an 8 billion parameter instruction-tuned language model based on the Llama 3.1 architecture. It features a substantial context length of 32768 tokens, indicating its capability to process and generate longer sequences of text.
Key Characteristics
- Architecture: Llama 3.1 base model.
- Parameter Count: 8 billion parameters.
- Context Length: 32768 tokens, suitable for extended conversations or document processing.
- Training: Instruction-tuned with a learning rate of 1e-6 over 30 epochs.
Intended Use
Given the available information, this model is likely intended for general instruction-following tasks, leveraging its Llama 3.1 foundation and instruction-tuning. Specific use cases or unique strengths are not detailed in the provided model card, suggesting a broad applicability for tasks requiring natural language understanding and generation based on user prompts.