File size: 1,026 Bytes
322e846 83faf30 af707d7 322e846 af707d7 322e846 af707d7 322e846 af707d7 322e846 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 |
---
license: apache-2.0
inference: false
base_model: llmware/slim-topics
base_model_relation: quantized
tags: [green, p1, llmware-fx, onnx]
---
# slim-topics-onnx
**slim-topics-onnx** is a specialized function calling model that generates a topic description for a text passage, typically no more than 2-3 words.
This is an ONNX int4 quantized version of slim-topics, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.
### Model Description
- **Developed by:** llmware
- **Model type:** tinyllama
- **Parameters:** 1.1 billion
- **Model Parent:** llmware/slim-topics
- **Language(s) (NLP):** English
- **License:** Apache 2.0
- **Uses:** Topic categorization and summarization
- **RAG Benchmark Accuracy Score:** NA
- **Quantization:** int4
## Model Card Contact
[llmware on github](https://www.github.com/llmware-ai/llmware)
[llmware on hf](https://www.huggingface.co/llmware)
[llmware website](https://www.llmware.ai)
|