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--- |
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license: apache-2.0 |
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inference: false |
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base_model: Qwen/Qwen2-0.5B-Instruct |
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base_model_relation: quantized |
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tags: [green, p1, llmware-chat, gguf,emerald] |
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--- |
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# qwen-2-0.5b-instruct-gguf |
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**qwen-2-0.5b-instruct-gguf** is Q4_K_M (int 4) quantized version of Qwen2 0.5b Instruct, providing a very fast, very small inference implementation, optimized for AI PCs. |
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[**qwen-2-0.5b-instruct-gguf**](https://huggingface.co/Qwen/Qwen2-0.5B-Instruct) is a leading chat model known for its high accuracy and strong math and logical capabilities. |
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### Model Description |
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- **Developed by:** Qwen |
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- **Quantized by:** llmware |
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- **Model type:** qwen2-0.5b-instruct |
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- **Parameters:** 0.5 billion |
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- **Model Parent:** Qwen/Qwen2 0.5B-Instruct |
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- **Language(s) (NLP):** English |
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- **License:** Apache 2.0 |
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- **Uses:** General purpose chat |
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- **RAG Benchmark Accuracy Score:** NA |
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- **Quantization:** Q4_K_M |
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## Model Card Contact |
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[llmware on github](https://www.huggingface.co/llmware) |
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[llmware on hf](https://www.huggingface.co/llmware) |
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[llmware website](https://www.llmware.ai) |
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