GITBOOK-388: docs: deprecate 6 models

Author: techpro-aimlapi

docs/README.md

@@ -115,8 +115,6 @@ If you've already made your choice and know the model ID, use the [Search panel]
 
 **NVIDIA**:    [Text/Chat](api-references/text-models-llm/NVIDIA/)
 
-**NousResearch**:    [Text/Chat](api-references/text-models-llm/NousResearch/)
-
 <mark style="background-color:green;">**OpenAI**</mark>:    [Text/Chat](api-references/text-models-llm/OpenAI/)   [Image](api-references/image-models/OpenAI/)   [Speech-To-Text](api-references/speech-voice-models/stt/OpenAI/)   [Embedding](api-references/embedding-models/OpenAI/)
 
 **Perplexity**:    [Text/Chat](api-references/text-models-llm/perplexity/)

docs/SUMMARY.md

@@ -58,9 +58,6 @@
     * [Llama-3.1-8B-Instruct-Turbo](api-references/text-models-llm/Meta/Meta-Llama-3.1-8B-Instruct-Turbo.md)
     * [Llama-3.1-70B-Instruct-Turbo](api-references/text-models-llm/Meta/Meta-Llama-3.1-70B-Instruct-Turbo.md)
     * [Llama-3.1-405B-Instruct-Turbo](api-references/text-models-llm/Meta/Meta-Llama-3.1-405B-Instruct-Turbo.md)
-    * [Llama-3.2-11B-Vision-Instruct-Turbo](api-references/text-models-llm/Meta/Llama-3.2-11B-Vision-Instruct-Turbo.md)
-    * [Llama-3.2-90B-Vision-Instruct-Turbo](api-references/text-models-llm/Meta/Llama-3.2-90B-Vision-Instruct-Turbo.md)
-    * [Llama-Vision-Free](api-references/text-models-llm/Meta/Llama-Vision-Free.md)
     * [Llama-3.2-3B-Instruct-Turbo](api-references/text-models-llm/Meta/Llama-3.2-3B-Instruct-Turbo.md)
     * [Llama-3.3-70B-Instruct-Turbo](api-references/text-models-llm/Meta/Llama-3.3-70B-Instruct-Turbo.md)
     * [Llama-4-scout](api-references/text-models-llm/meta/llama-4-scout.md)
@@ -77,10 +74,7 @@
   * [Moonshot](api-references/text-models-llm/moonshot/README.md)
     * [kimi-k2-preview](api-references/text-models-llm/moonshot/kimi-k2-preview.md)
   * [NVIDIA](api-references/text-models-llm/NVIDIA/README.md)
-    * [Llama-3.1-Nemotron-70B-Instruct-HF](api-references/text-models-llm/NVIDIA/Llama-3.1-Nemotron-70B-Instruct-HF.md)
     * [llama-3.1-nemotron-70b](api-references/text-models-llm/NVIDIA/llama-3.1-nemotron-70b.md)
-  * [NousResearch](api-references/text-models-llm/NousResearch/README.md)
-    * [Nous-Hermes-2-Mixtral-8x7B-DPO](api-references/text-models-llm/NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO.md)
   * [OpenAI](api-references/text-models-llm/OpenAI/README.md)
     * [gpt-3.5-turbo](api-references/text-models-llm/OpenAI/gpt-3.5-turbo.md)
     * [gpt-4](api-references/text-models-llm/OpenAI/gpt-4.md)

docs/api-references/model-database.md

@@ -1,10 +1,10 @@
 # Llama-3-chat-hf
 
-<table data-header-hidden data-full-width="true"><thead><tr><th width="546.4443969726562" valign="top"></th><th width="202.666748046875" valign="top"></th></tr></thead><tbody><tr><td valign="top"><div data-gb-custom-block data-tag="hint" data-style="info" class="hint hint-info"><p>This documentation is valid for the following list of our models:</p><ul><li><code>meta-llama/Llama-3-70b-chat-hf</code></li><li><code>meta-llama/Llama-3-8b-chat-hf</code></li></ul></div></td><td valign="top"><a href="https://aimlapi.com/app/?model=meta-llama/Llama-3-70b-chat-hf&#x26;mode=chat" class="button primary">Try in Playground</a></td></tr></tbody></table>
+<table data-header-hidden data-full-width="true"><thead><tr><th width="546.4443969726562" valign="top"></th><th width="202.666748046875" valign="top"></th></tr></thead><tbody><tr><td valign="top"><div data-gb-custom-block data-tag="hint" data-style="info" class="hint hint-info"><p>This documentation is valid for the following list of our models:</p><ul><li><code>meta-llama/Llama-3-70b-chat-hf</code></li></ul></div></td><td valign="top"><a href="https://aimlapi.com/app/?model=meta-llama/Llama-3-70b-chat-hf&#x26;mode=chat" class="button primary">Try in Playground</a></td></tr></tbody></table>
 
 ## Model Overview
 
-The Llama 3 family consists of pretrained and instruction-tuned generative text models available in 8B and 70B sizes. These models are optimized for dialogue use cases and outperform many existing open-source chat models on common industry benchmarks.
+This model is optimized for dialogue use cases and outperform many existing open-source chat models on common industry benchmarks.
 
 You can also view [a detailed comparison of this model](https://aimlapi.com/comparisons/qwen-2-vs-llama-3-comparison) on our main website.