hadasor/Llama-3.1-8B-Instruct-prune_extreme_sports_p_0.0007_q_2e-05
The hadasor/Llama-3.1-8B-Instruct-prune_extreme_sports_p_0.0007_q_2e-05 model is an 8 billion parameter instruction-tuned language model, likely derived from the Llama 3.1 architecture. This model is a pruned version, indicating optimization for efficiency or specific performance characteristics. Its primary differentiator and use case are currently unspecified due to limited information in the provided model card.
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Model Overview
This model, hadasor/Llama-3.1-8B-Instruct-prune_extreme_sports_p_0.0007_q_2e-05, is an 8 billion parameter instruction-tuned language model. It is identified as a pruned variant, suggesting potential optimizations for reduced size or improved inference speed, possibly at the cost of some performance aspects compared to its full-sized counterpart. The model card indicates it is a Hugging Face Transformers model, automatically generated upon being pushed to the Hub.
Key Characteristics
- Parameter Count: 8 billion parameters.
- Context Length: Supports a context length of 32768 tokens.
- Architecture: Likely based on the Llama 3.1 instruction-tuned architecture.
- Pruning: The model name suggests it has undergone a pruning process, which typically aims to reduce model size and computational requirements.
Limitations and Further Information
As per the provided model card, specific details regarding the model's development, funding, exact model type, language(s), license, and finetuning origins are currently marked as "More Information Needed." Consequently, its direct use cases, downstream applications, out-of-scope uses, biases, risks, and detailed training/evaluation procedures are not yet specified. Users should be aware of these missing details and exercise caution, as the model's full capabilities and limitations are not yet documented.