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RichardErkhov/kevin009_-_flyingllama-awq
kevin009_-_flyingllama-awq is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Downloads · 30 days
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5% of all-time downloads
All-time downloads
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From the Hugging Face model README
Quantization made by Richard Erkhov.
flyingllama - AWQ
license: apache-2.0 model-index:
kevin009/flyingllamakevin009/flyingllama is a language model leveraging the Llama architecture. It is tailored for text generation and various natural language processing tasks. The model features a hidden size of 1024, incorporates 24 hidden layers, and is equipped with 16 attention heads. It utilizes a vocabulary comprising 50304 tokens and is fine-tuned using the SiLU activation function.
This model is well-suited for tasks such as text generation, language modeling, and other natural language processing applications that require understanding and generating human-like language.
Like any model, kevin009/flyingllama may have limitations related to its architecture and training data. Users should assess its performance for specific use cases.
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 30.16 |
| AI2 Reasoning Challenge (25-Shot) | 24.74 |
| HellaSwag (10-Shot) | 38.35 |
| MMLU (5-Shot) | 26.14 |
| TruthfulQA (0-shot) | 41.60 |
| Winogrande (5-shot) | 50.12 |
| GSM8k (5-shot) | 0.00 |