|
|
--- |
|
|
license: apache-2.0 |
|
|
inference: false |
|
|
base_model: Qwen/Qwen2-7B-Instruct |
|
|
base_model_relation: quantized |
|
|
tags: [green, p7, llmware-chat, gguf] |
|
|
--- |
|
|
|
|
|
# qwen-2-7b-instruct-gguf |
|
|
|
|
|
**qwen-2-7b-instruct-gguf** is Q4_K_M (int 4) quantized version of Qwen2 7b Instruct, providing a very fast, very small inference implementation, optimized for AI PCs. |
|
|
|
|
|
[**qwen-2-7b-instruct-gguf**](https://huggingface.co/Qwen/Qwen2-7B-Instruct) is a leading chat model known for its high accuracy and strong math and logical capabilities. |
|
|
|
|
|
|
|
|
### Model Description |
|
|
|
|
|
- **Developed by:** Qwen |
|
|
- **Quantized by:** llmware |
|
|
- **Model type:** qwen2-7b-instruct |
|
|
- **Parameters:** 7 billion |
|
|
- **Model Parent:** Qwen/Qwen2-7B-Instruct |
|
|
- **Language(s) (NLP):** English |
|
|
- **License:** Apache 2.0 |
|
|
- **Uses:** General purpose chat |
|
|
- **RAG Benchmark Accuracy Score:** NA |
|
|
- **Quantization:** Q4_K_M |
|
|
|
|
|
|
|
|
## Model Card Contact |
|
|
|
|
|
[llmware on github](https://www.huggingface.co/llmware) |
|
|
|
|
|
[llmware on hf](https://www.huggingface.co/llmware) |
|
|
|
|
|
[llmware website](https://www.llmware.ai) |
|
|
|
