[DOCS]

docs/mkdocs.yml

@@ -106,7 +106,6 @@ nav:
   - Why does Swarms Exist?:
     - Why Swarms? Orchestrating Agents for Enterprise Automation: "why.md"
     - Limitations of Individual Agents: "limits_of_individual_agents.md"
-    
 - Swarms Cloud API:
   - Overview: "swarms_cloud/main.md"
   - Available Models: "swarms_cloud/available_models.md"
@@ -118,7 +117,7 @@ nav:
   - Overview: "swarms/index.md"
   - DIY Build Your Own Agent: "diy_your_own_agent.md"
   - Agents with Tools: "examples/tools_agent.md"
-  - Multi-Agent Orchestration: "swarms/structs/multi_agent_orchestration.md"
+  # - Multi-Agent Orchestration: "swarms/structs/multi_agent_orchestration.md"
   - swarms.models:
     - How to Create A Custom Language Model: "swarms/models/custom_model.md"
     - Deploying Azure OpenAI in Production A Comprehensive Guide: "swarms/models/azure_openai.md"
@@ -143,7 +142,7 @@ nav:
         - BaseStructure: "swarms/structs/basestructure.md"
         - Task: "swarms/structs/task.md"
         - YamlModel: "swarms/structs/yaml_model.md"
-        - BaseSwarm: "swarms/structs/base_swarm.md"
+        # - BaseSwarm: "swarms/structs/base_swarm.md"
         - BaseWorkflow: "swarms/structs/baseworkflow.md"
       - Workflows:
         - ConcurrentWorkflow: "swarms/structs/concurrentworkflow.md"

docs/swarms_cloud/available_models.md

@@ -2,13 +2,8 @@
 
 | Model Name            | Description                                                                                             | Input Price  | Output Price | Use Cases                                                              |
 |-----------------------|---------------------------------------------------------------------------------------------------------|--------------|--------------|------------------------------------------------------------------------|
-| **Llama3-70b**        | Llama 3 is an auto-regressive language model that uses an optimized transformer architecture.          | $0.80/1M Tokens | $1.60/1M Tokens | General natural language processing tasks.                             |
-| **Llava-Internlm2-20b** | LLaVA model fine-tuned from InternLM2-Chat-20B and CLIP-ViT-Large-patch14-336.                         | Contact for pricing | Contact for pricing | Enhanced language understanding integrated with visual processing.    |
-| **Llama-3-Giraffe-70B** | Abacus.AI presents our longer-necked variant of Llama 3 70B!                                           | $1/1M Tokens | $2/1M Tokens | Extensive natural language tasks with a focus on depth and efficiency. |
 | **Qwen-vl**            | Qwen VL for real-world multi-modal function calling.                                                   | $5/1M Tokens | $10/1M Tokens | Multi-modal interactions and function handling in complex environments.|
 | **XComposer2-4khd-7b** | One of the highest performing VLMs (Video Language Models).                                            | $4/1M Tokens | $8/1M Tokens | High-resolution video processing and understanding.                     |
-| **Llava-Llama-3**      | Llama3 with Multi-Modal Processing.                                                                    | $5/1M Tokens | $10/1M Tokens | Advanced multi-modal scenarios involving language and image processing. |
-| **cogvlm-chat-17b**    | Groundbreaking multimodal model designed to understand and reason about visual elements in images.     | $5/1M Tokens | $10/1M Tokens | Image-based chatbots and interactive systems.                           |
 
 
 ## What models should we add?