Adding new LLMs, text classification and code generation models to the Workers AI catalog

This post announces the addition of eight new models to the Workers AI catalog: six text generation models (@hf/thebloke/llama-2-13b-chat-awq, @hf/thebloke/zephyr-7b-beta-awq, @hf/thebloke/mistral-7b-instruct-v0.1-awq, @hf/thebloke/openhermes-2.5-mistral-7b-awq, @hf/thebloke/neural-chat-7b-v3-1-awq, @hf/thebloke/llamaguard-7b-awq) and two code generation models (@hf/thebloke/deepseek-coder-6.7b-base-awq, @hf/thebloke/deepseek-coder-6.7b-instruct-awq). It highlights the performance advantages of DeepSeek Coder and OpenHermes-2.5-Mistral-7B, explains Activation-aware Weight Quantization (AWQ) for memory efficiency, and introduces LlamaGuard for prompt and response safety classification with a code example. The post emphasizes the ease of use of Workers AI for developers.