Creating doc automatically for supported models. (#1929)

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Fixes # (issue)


## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the
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.github/workflows/autodocs.yml

@@ -13,11 +13,7 @@ jobs:
 
     - name: Install Launcher
       id: install-launcher
-      env:
-        REF: ${{ github.head_ref }}
-        REPO: ${{ github.repository }}
-      run: cargo install --git "https://github.com/$REPO" --branch "$REF" text-generation-launcher
-
+      run: cargo install --path launcher/
     - name: Check launcher Docs are up-to-date
       run: |
         echo text-generation-launcher --help

docs/source/supported_models.md

@@ -1,30 +1,36 @@
+
 # Supported Models and Hardware
 
 Text Generation Inference enables serving optimized models on specific hardware for the highest performance. The following sections list which models are hardware are supported.
 
 ## Supported Models
 
-The following models are optimized and can be served with TGI, which uses custom CUDA kernels for better inference. You can add the flag `--disable-custom-kernels` at the end of the `docker run` command if you wish to disable them.
-
-- [BLOOM](https://huggingface.co/bigscience/bloom)
-- [FLAN-T5](https://huggingface.co/google/flan-t5-xxl)
+- [Idefics 2](https://huggingface.co/HuggingFaceM4/idefics2-8b) (Multimodal)
+- [Llava Next (1.6)](https://huggingface.co/llava-hf/llava-v1.6-vicuna-13b-hf) (Multimodal)
+- [Llama](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
+- [Phi 3](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct)
+- [Gemma](https://huggingface.co/google/gemma-7b)
+- [Cohere](https://huggingface.co/CohereForAI/c4ai-command-r-plus)
+- [Dbrx](https://huggingface.co/databricks/dbrx-instruct)
+- [Mamba](https://huggingface.co/state-spaces/mamba-2.8b-slimpj)
+- [Mistral](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
+- [Mixtral](https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1)
+- [Gpt Bigcode](https://huggingface.co/bigcode/gpt_bigcode-santacoder)
+- [Phi](https://huggingface.co/microsoft/phi-1_5)
+- [Baichuan](https://huggingface.co/baichuan-inc/Baichuan2-7B-Chat)
+- [Falcon](https://huggingface.co/tiiuae/falcon-7b-instruct)
+- [StarCoder 2](https://huggingface.co/bigcode/starcoder2-15b-instruct-v0.1)
+- [Qwen 2](https://huggingface.co/bigcode/starcoder2-15b-instruct-v0.1)
+- [Opt](https://huggingface.co/facebook/opt-6.7b)
+- [T5](https://huggingface.co/google/flan-t5-xxl)
 - [Galactica](https://huggingface.co/facebook/galactica-120b)
-- [GPT-2](https://huggingface.co/openai-community/gpt2)
-- [GPT-Neox](https://huggingface.co/EleutherAI/gpt-neox-20b)
-- [Llama](https://github.com/facebookresearch/llama)
-- [OPT](https://huggingface.co/facebook/opt-66b)
 - [SantaCoder](https://huggingface.co/bigcode/santacoder)
-- [Starcoder](https://huggingface.co/bigcode/starcoder)
-- [Falcon 7B](https://huggingface.co/tiiuae/falcon-7b)
-- [Falcon 40B](https://huggingface.co/tiiuae/falcon-40b)
-- [MPT](https://huggingface.co/mosaicml/mpt-30b)
-- [Llama V2](https://huggingface.co/meta-llama)
-- [Code Llama](https://huggingface.co/codellama)
-- [Mistral](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
-- [Mixtral](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)
-- [Phi](https://huggingface.co/microsoft/phi-2)
-- [Idefics](HuggingFaceM4/idefics-9b-instruct) (Multimodal)
-- [Llava-next](llava-hf/llava-v1.6-mistral-7b-hf) (Multimodal)
+- [Bloom](https://huggingface.co/bigscience/bloom-560m)
+- [Mpt](https://huggingface.co/mosaicml/mpt-7b-instruct)
+- [Gpt2](https://huggingface.co/openai-community/gpt2)
+- [Gpt Neox](https://huggingface.co/EleutherAI/gpt-neox-20b)
+- [Idefics](https://huggingface.co/HuggingFaceM4/idefics-9b) (Multimodal)
+
 
 If the above list lacks the model you would like to serve, depending on the model's pipeline type, you can try to initialize and serve the model anyways to see how well it performs, but performance isn't guaranteed for non-optimized models:
 
@@ -39,4 +45,4 @@ If you wish to serve a supported model that already exists on a local folder, ju
 
 ```bash
 text-generation-launcher --model-id <PATH-TO-LOCAL-BLOOM>
-``````
+```