Update README.md

Fixes #161

README.md

@@ -58,7 +58,7 @@ try out llamafile with different kinds of LLMs.
 | --- | --- | --- | --- | --- |
 | LLaVA 1.5 | 3.97 GB | [LLaMA 2](https://ai.meta.com/resources/models-and-libraries/llama-downloads/) | [llava-v1.5-7b-q4-main.llamafile](https://huggingface.co/jartine/llava-v1.5-7B-GGUF/resolve/main/llava-v1.5-7b-q4-main.llamafile?download=true) | **[llava-v1.5-7b-q4-server.llamafile](https://huggingface.co/jartine/llava-v1.5-7B-GGUF/resolve/main/llava-v1.5-7b-q4-server.llamafile?download=true)** |
 | Mistral-7B-Instruct | 4.07 GB | [Apache 2.0](https://choosealicense.com/licenses/apache-2.0/) | [mistral-7b-instruct-v0.1-Q4\_K\_M-main.llamafile](https://huggingface.co/jartine/mistral-7b.llamafile/resolve/main/mistral-7b-instruct-v0.1-Q4_K_M-main.llamafile?download=true) | [mistral-7b-instruct-v0.1-Q4\_K\_M-server.llamafile](https://huggingface.co/jartine/mistral-7b.llamafile/resolve/main/mistral-7b-instruct-v0.1-Q4_K_M-server.llamafile?download=true) |
-| Mixtral-8x7B-Instruct | 30.03 GB | [Apache 2.0](https://choosealicense.com/licenses/apache-2.0/) | [mixtral-8x7b-instruct-v0.1.Q5\_K\_M.llamafile](https://huggingface.co/jartine/Mixtral-8x7B-v0.1.llamafile/resolve/main/mixtral-8x7b-instruct-v0.1.Q5_K_M.llamafile?download=true) | [mixtral-8x7b-instruct-v0.1.Q5\_K\_M-server.llamafile](https://huggingface.co/jartine/Mixtral-8x7B-v0.1.llamafile/resolve/main/mixtral-8x7b-instruct-v0.1.Q5_K_M-server.llamafile?download=true) |
+| Mixtral-8x7B-Instruct | 30.03 GB | [Apache 2.0](https://choosealicense.com/licenses/apache-2.0/) | [mixtral-8x7b-instruct-v0.1.Q5\_K\_M.llamafile](https://huggingface.co/jartine/Mixtral-8x7B-Instruct-v0.1-llamafile/resolve/main/mixtral-8x7b-instruct-v0.1.Q5_K_M.llamafile?download=true) | [mixtral-8x7b-instruct-v0.1.Q5\_K\_M-server.llamafile](https://huggingface.co/jartine/Mixtral-8x7B-Instruct-v0.1-llamafile/resolve/main/mixtral-8x7b-instruct-v0.1.Q5_K_M.llamafile?download=true) |
 | WizardCoder-Python-13B | 7.33 GB | [LLaMA 2](https://ai.meta.com/resources/models-and-libraries/llama-downloads/) | [wizardcoder-python-13b-main.llamafile](https://huggingface.co/jartine/wizardcoder-13b-python/resolve/main/wizardcoder-python-13b-main.llamafile?download=true) | [wizardcoder-python-13b-server.llamafile](https://huggingface.co/jartine/wizardcoder-13b-python/resolve/main/wizardcoder-python-13b-server.llamafile?download=true) |
 
 "Server llamafiles" work just like the LLaVA example above: you simply