hamxea/Llama-2-7b-chat-hf-activity-fine-tuned-v3
hamxea/Llama-2-7b-chat-hf-activity-fine-tuned-v3 is a 7 billion parameter auto-regressive language model based on the Transformer architecture, developed by the FAIR team of Meta AI. This version is a Hugging Face conversion of the original Llama-7B, optimized for compatibility with the Transformers library and featuring a reduced number of shards for faster loading. It is primarily intended for research in large language models, focusing on understanding capabilities, limitations, and developing improvements.
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Overview
This model, hamxea/Llama-2-7b-chat-hf-activity-fine-tuned-v3, is a 7 billion parameter auto-regressive language model built on the Transformer architecture, originally developed by the FAIR team of Meta AI. It is a Hugging Face conversion of the foundational Llama-7B model, specifically adapted for use with the transformers library (version >= 4.28.0). A key improvement in this version is the reduction of model checkpoints to 2 shards, significantly accelerating loading times compared to previous multi-shard versions.
Key Capabilities & Characteristics
- Architecture: Transformer-based, auto-regressive language model.
- Parameter Count: 7 billion parameters.
- Hugging Face Compatibility: Fully compatible with Hugging Face Transformers, including
LlamaForCausalLMandLlamaTokenizer. - Optimized Loading: Features a reduced number of shards (2 instead of 33) for faster disk loading.
- Multilingual Data: Trained on a dataset including 20 languages, though primarily English-centric, suggesting better performance for English tasks.
Intended Use Cases
This model is primarily intended for research purposes in large language models. Specific research areas include:
- Exploring applications like question answering, natural language understanding, and reading comprehension.
- Understanding the capabilities and limitations of current language models.
- Developing techniques to improve model performance and mitigate issues like biases, toxicity, and hallucinations.
Limitations
As a base, foundational model, Llama-2-7b-chat-hf-activity-fine-tuned-v3 has not been trained with human feedback. Consequently, it may generate toxic or offensive content, incorrect information, or unhelpful answers. It is not suitable for direct deployment in downstream applications without further risk evaluation and mitigation.