Add LLaVA back to README table

Author: jart

README.md

@@ -56,6 +56,7 @@ easily try out llamafile with different kinds of LLMs.
 | Model | License | Command-line llamafile | Server llamafile |
 | --- | --- | --- | --- |
 | Mistral-7B-Instruct | [Apache 2.0](https://choosealicense.com/licenses/apache-2.0/) | [mistral-7b-instruct-v0.1-Q4_K_M-main.llamafile (4.07 GB)](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 (4.07 GB)](https://huggingface.co/jartine/mistral-7b.llamafile/resolve/main/mistral-7b-instruct-v0.1-Q4_K_M-server.llamafile?download=true) |
+| LLaVA 1.5 | [LLaMA 2](https://ai.meta.com/resources/models-and-libraries/llama-downloads/) | (Not provided because this model's features are best utilized via the web UI) | **[llava-v1.5-7b-q4-server.llamafile (3.97 GB)](https://huggingface.co/jartine/llava-v1.5-7B-GGUF/resolve/main/llava-v1.5-7b-q4-server.llamafile?download=true)** |
 | WizardCoder-Python-13B | [LLaMA 2](https://ai.meta.com/resources/models-and-libraries/llama-downloads/) | [wizardcoder-python-13b-main.llamafile (7.33 GB)](https://huggingface.co/jartine/wizardcoder-13b-python/resolve/main/wizardcoder-python-13b-main.llamafile?download=true) | [wizardcoder-python-13b-server.llamafile (7.33GB)](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 run