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| <html> | |
| <head> | |
| <title>Yi-6B-200K-GGUF (Q6_K)</title> | |
| </head> | |
| <body> | |
| <h1>Yi-6B-200K-GGUF (Q6_K)</h1> | |
| <p> | |
| With the utilization of the | |
| <a href="https://github.com/abetlen/llama-cpp-python">llama-cpp-python</a> | |
| package, we are excited to introduce the GGUF model hosted in the Hugging | |
| Face Docker Spaces, made accessible through an OpenAI-compatible API. This | |
| space includes comprehensive API documentation to facilitate seamless | |
| integration. | |
| </p> | |
| <ul> | |
| <li> | |
| The API endpoint: | |
| <a href="https://limcheekin-yi-6b-200k-gguf.hf.space/v1" | |
| >https://limcheekin-yi-6b-200k-gguf.hf.space/v1</a | |
| > | |
| </li> | |
| <li> | |
| The API doc: | |
| <a href="https://limcheekin-yi-6b-200k-gguf.hf.space/docs" | |
| >https://limcheekin-yi-6b-200k-gguf.hf.space/docs</a | |
| > | |
| </li> | |
| </ul> | |
| <p> | |
| If you find this resource valuable, your support in the form of starring | |
| the space would be greatly appreciated. Your engagement plays a vital role | |
| in furthering the application for a community GPU grant, ultimately | |
| enhancing the capabilities and accessibility of this space. | |
| </p> | |
| </body> | |
| </html> | |