Switch 1-language_models.md to non gated models

Closes #814

Author: tom-doerr

docs/docs/building-blocks/1-language_models.md

@@ -145,19 +145,19 @@ You need to host these models on your own GPU(s). Below, we include pointers for
 1.  `dspy.HFClientTGI`: for HuggingFace models through the Text Generation Inference (TGI) system. [Tutorial: How do I install and launch the TGI server?](https://dspy-docs.vercel.app/docs/deep-dive/language_model_clients/local_models/HFClientTGI)
 
 ```python
-tgi_llama2 = dspy.HFClientTGI(model="meta-llama/Llama-2-7b-hf", port=8080, url="http://localhost")
+tgi_llama2 = dspy.HFClientTGI(model="mistralai/Mistral-7B-Instruct-v0.2", port=8080, url="http://localhost")
 ```
 
 2.  `dspy.HFClientVLLM`: for HuggingFace models through vLLM. [Tutorial: How do I install and launch the vLLM server?](https://dspy-docs.vercel.app/docs/deep-dive/language_model_clients/local_models/HFClientVLLM)
 
 ```python
-vllm_llama2 = dspy.HFClientVLLM(model="meta-llama/Llama-2-7b-hf", port=8080, url="http://localhost")
+vllm_llama2 = dspy.HFClientVLLM(model="mistralai/Mistral-7B-Instruct-v0.2", port=8080, url="http://localhost")
 ```
 
 3.  `dspy.HFModel` (experimental) [Tutorial: How do I initialize models using HFModel](https://dspy-docs.vercel.app/api/local_language_model_clients/HFModel)
 
 ```python
-llama = dspy.HFModel(model = 'meta-llama/Llama-2-7b-hf')
+llama = dspy.HFModel(model = 'mistralai/Mistral-7B-Instruct-v0.2')
 ```
 
 4.  `dspy.Ollama` (experimental) for open source models through [Ollama](https://ollama.com). [Tutorial: How do I install and use Ollama on a local computer?](https://dspy-docs.vercel.app/api/local_language_model_clients/Ollama)\n",