Update README.md

README.md

@@ -24,9 +24,9 @@ pipeline_tag: text-generation
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-# Open-Orca's OpenOrca Preview1 200k GPT4 LLaMA 13B GGML
+# Open-Orca's OpenOrca-Preview1-13B GGML
 
-These files are GGML format model files for [Open-Orca's OpenOrca Preview1 200k GPT4 LLaMA 13B](https://huggingface.co/Open-Orca/OpenOrca_Preview1-200k-GPT4_LLaMA-13B).
+These files are GGML format model files for [Open-Orca's OpenOrca-Preview1-13B](https://huggingface.co/Open-Orca/OpenOrca-Preview1-13B).
 
 GGML files are for CPU + GPU inference using [llama.cpp](https://github.com/ggerganov/llama.cpp) and libraries and UIs which support this format, such as:
 * [KoboldCpp](https://github.com/LostRuins/koboldcpp), a powerful GGML web UI with full GPU acceleration out of the box. Especially good for story telling.
@@ -40,9 +40,9 @@ These files were quantised using hardware kindly provided by [Latitude.sh](https
 
 ## Repositories available
 
-* [GPTQ models for GPU inference, with multiple quantisation parameter options.](https://huggingface.co/TheBloke/OpenOrca_Preview1-200k-GPT4_LLaMA-13B-GPTQ)
-* [2, 3, 4, 5, 6 and 8-bit GGML models for CPU+GPU inference](https://huggingface.co/TheBloke/OpenOrca_Preview1-200k-GPT4_LLaMA-13B-GGML)
-* [Unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/Open-Orca/OpenOrca_Preview1-200k-GPT4_LLaMA-13B)
+* [GPTQ models for GPU inference, with multiple quantisation parameter options.](https://huggingface.co/TheBloke/OpenOrca_Preview1-13B-GPTQ)
+* [2, 3, 4, 5, 6 and 8-bit GGML models for CPU+GPU inference](https://huggingface.co/TheBloke/OpenOrca_Preview1-13B-GGML)
+* [Unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/Open-Orca/OpenOrca-Preview1-13B)
 
 ## Prompt template: Alpaca