Merge pull request #5385 from menloresearch/ramon/docs-jan-models

Added Models section with jan nano to docs, updated api server section and changelog.

.gitignore

@@ -49,3 +49,4 @@ src-tauri/resources/bin
 # Helper tools
 .opencode
 OpenCode.md
+archive/

docs/src/components/Changelog/index.tsx

@@ -57,7 +57,7 @@ const Changelog = () => {
           <p className="text-base mt-2 leading-relaxed">
             Latest release updates from the Jan team. Check out our&nbsp;
             <a
-              href="https://github.com/orgs/menloresearch/projects/5/views/52"
+              href="https://github.com/orgs/menloresearch/projects/30"
               className="text-blue-600 dark:text-blue-400 cursor-pointer"
             >
               Roadmap

docs/src/pages/changelog/2025-06-19-jan-ui-revamp.mdx

@@ -0,0 +1,21 @@
+---
+title: "Jan v0.6.1 is here: It's a whole new vibe!"
+version: 0.6.1
+description: "Are you ready for the sexiest UI ever?"
+date: 2025-06-19
+ogImage: "/assets/images/changelog/jan-v0.6.1-ui-revamp.png"
+---
+
+import ChangelogHeader from "@/components/Changelog/ChangelogHeader"
+
+<ChangelogHeader title="Jan v0.6.1 is here: It's a whole new vibe!" date="2025-06-19" ogImage="/assets/images/changelog/jan-v0.6.1-ui-revamp.png" />
+
+## Highlights 🎉
+
+- Jan's been redesigned to be faster, cleaner, and easier to use.
+- You can now create assistants with custom instructions and settings from a dedicated tab.
+- You can now use Jan with Menlo's models.
+
+Update your Jan or [download the latest](https://jan.ai/).
+
+For more details, see the [GitHub release notes](https://github.com/menloresearch/jan/releases/tag/v0.6.1).

docs/src/pages/docs/_meta.json

@@ -7,6 +7,7 @@
   "desktop": "Install 👋 Jan",
   "threads": "Start Chatting",
   "manage-models": "Manage Models",
+  "menlo-models": "Menlo Models",
   "assistants": "Create Assistants",
 
   "tutorials-separators": {

docs/src/pages/docs/api-server.mdx

@@ -42,7 +42,9 @@ as well after downloading it from [here](https://github.com/ggml-org/llama.cpp).
 2. Add an API Key (it can be anything) or fully configure the server at [Server Settings](/docs/api-server#server-settings)
 3. Click **Start Server** button
 4. Wait for the confirmation message in the logs panel, your server is ready when you see: `JAN API listening at: http://127.0.0.1:1337`
+5. Make sure you add an API key, this can be anything you want, a word like "testing" or even a combination of numbers and letters.
 
+![Local API Server](./_assets/api-server2.png)
 
 ### Step 2: Test Server
 The easiest way to test your server is through the API Playground:
@@ -50,8 +52,25 @@ The easiest way to test your server is through the API Playground:
 2. Select a model from the dropdown menu in Jan interface
 3. Try a simple request
 4. View the response in real-time
+5. When you send requests from another app, you need to add the API key in the request headers.
 
 ### Step 3: Use the API
+
+```sh
+curl http://127.0.0.1:1337/v1/chat/completions \
+    -H "Content-Type: application/json" \
+    -H "Authorization: Bearer testing-something" \ # here you need to add your API key
+    -d '{
+        "model": "jan-nano-gguf",
+        "messages": [
+            {
+                "role": "user",
+                "content": "Write a one-sentence bedtime story about a unicorn."
+            }
+        ]
+    }'
+
+```
 </Steps>
 
 
@@ -108,6 +127,8 @@ Enable **Verbose Server Logs** for detailed error messages.
 - Verify your JSON request format is correct
 - Verify firewall settings
 - Look for detailed error messages in the logs
+- Make sure you add an API key, this can be anything you want, a word like "testing" or even a combination of numbers and letters.
+- Use the API Key in the request headers when sending requests from another app.
 
 **2. CORS Errors in Web Apps**
 - Enable CORS in server settings if using from a webpage

docs/src/pages/docs/index.mdx

@@ -25,7 +25,7 @@ import FAQBox from '@/components/FaqBox'
 ![Jan's Cover Image](./_assets/jan-app.png)
 
 
-Jan is an AI chat application that runs 100% offline on your desktop and (*soon*) on mobile. Our goal is to
+Jan is a ChatGPT alternative that runs 100% offline on your desktop and (*soon*) on mobile. Our goal is to
 make it easy for anyone, with or without coding skills, to download and use AI models with full control and
 [privacy](https://www.reuters.com/legal/legalindustry/privacy-paradox-with-ai-2023-10-31/).
 

docs/src/pages/docs/menlo-models/_meta.json

@@ -0,0 +1,10 @@
+{
+  "overview": {
+    "title": "Overview",
+    "href": "/docs/menlo-models/overview"
+  },
+  "jan-nano": {
+    "title": "Jan Nano",
+    "href": "/docs/menlo-models/jan-nano"
+  }
+}

docs/src/pages/docs/menlo-models/jan-nano.mdx

@@ -0,0 +1,125 @@
+---
+title: Jan Nano
+description: Jan-Nano-Gguf Model
+keywords:
+  [
+    Jan,
+    Jan Models,
+    Jan Model,
+    Jan Model List,
+    Menlo Models,
+    Menlo Model,
+    Jan-Nano-Gguf,
+    ReZero,
+    Model Context Protocol,
+    MCP,
+  ]
+---
+
+import { Callout } from 'nextra/components'
+
+# Jan Nano
+
+Jan-Nano is a compact 4-billion parameter language model specifically designed and trained for deep 
+research tasks. This model has been optimized to work seamlessly with Model Context Protocol (MCP) servers, 
+enabling efficient integration with various research tools and data sources.
+
+The model and its different model variants are fully supported by Jan.
+
+<Callout type="info">
+  Jan-Nano can be used by Jan's stable version but its true capabilities shine in Jan's beta version, which 
+  offers MCP support. You can download Jan's beta version from [here](https://jan.ai/docs/desktop/beta).
+</Callout>
+
+
+## System Requirements
+
+- Minimum Requirements:
+  - 8GB RAM (with iQ4_XS quantization)
+  - 12GB VRAM (for Q8 quantization)
+  - CUDA-compatible GPU
+- Recommended Setup:
+  - 16GB+ RAM
+  - 16GB+ VRAM
+  - Latest CUDA drivers
+  - RTX 30/40 series or newer
+
+
+## Using Jan-Nano
+
+### Step 1
+Download Jan Beta from [here](https://jan.ai/docs/desktop/beta).
+
+### Step 2
+Go to the Hub Tab, search for Jan-Nano-Gguf, and click on the download button to the best model size for your system.
+
+![Jan Nano](../_assets/jan-nano1.png)
+
+### Step 3
+Go to **Settings** > **Model Providers** > **Llama.cpp** click on the pencil icon and enable tool use for Jan-Nano-Gguf.
+
+### Step 4
+To take advantage of Jan-Nano's full capabilities, you need to enable MCP support. We're going to use it with Serper's 
+API. You can get a free API key from [here](https://serper.dev/). Sign up and they will immediately generate one for you.
+
+### Step 5
+Add the serper MCP to Jan via the **Settings** > **MCP Servers** tab.
+
+![Serper MCP](../_assets/serper-mcp.png)
+
+### Step 6
+Open up a new chat and ask Jan-Nano to search the web for you.
+
+![Jan Nano](../_assets/jan-nano-demo.gif)
+
+## Queries to Try
+
+Here are some example queries to showcase Jan-Nano's web search capabilities:
+
+1. **Current Events**: What are the latest developments in renewable energy adoption in Germany and Denmark?
+2. **International Business**: What is the current status of Tesla's Gigafactory in Berlin and how has it impacted the local economy?
+3. **Technology Trends**: What are the newest AI developments from Google, Microsoft, and Meta that were announced this week?
+4. **Global Weather**: What's the current weather forecast for Tokyo, Japan for the next 5 days?
+5. **Stock Market**: What are the current stock prices for Apple, Samsung, and Huawei, and how have they performed this month?
+6. **Sports Updates**: What are the latest results from the Premier League matches played this weekend?
+7. **Scientific Research**: What are the most recent findings about climate change impacts in the Arctic region?
+8. **Cultural Events**: What major music festivals are happening in Europe this summer and who are the headliners?
+9. **Health & Medicine**: What are the latest developments in mRNA vaccine technology and its applications beyond COVID-19?
+10. **Space Exploration**: What are the current missions being conducted by NASA, ESA, and China's space program?
+
+
+## FAQ
+
+- What are the recommended GGUF quantizations?
+  - Q8 GGUF is recommended for best performance
+  - iQ4_XS GGUF for very limited VRAM setups
+  - Avoid Q4_0 and Q4_K_M as they show significant performance degradation
+
+- Can I run this on a laptop with 8GB RAM?
+  - Yes, but use the recommended quantizations (iQ4_XS)
+  - Note that performance may be limited with Q4 quantizations
+
+- How much did the training cost?
+  - Training was done on internal A6000 clusters
+  - Estimated cost on RunPod would be under $100 using H200
+  - Hardware used:
+    - 8xA6000 for training code
+    - 4xA6000 for vllm server (inferencing)
+
+- What frontend should I use?
+  - Jan Beta (recommended) - Minimalistic and polished interface
+  - Download link: https://jan.ai/docs/desktop/beta
+
+- Getting Jinja errors in LM Studio?
+  - Use Qwen3 template from other LM Studio compatible models
+  - Disable “thinking” and add the required system prompt
+  - Fix coming soon in future GGUF releases
+- Having model loading issues in Jan?
+  - Use latest beta version: Jan-beta_0.5.18-rc6-beta
+  - Ensure proper CUDA support for your GPU
+  - Check VRAM requirements match your quantization choice
+
+## Resources
+
+- [Jan-Nano Model on Hugging Face](https://huggingface.co/Menlo/Jan-nano)
+- [Jan-Nano GGUF on Hugging Face](https://huggingface.co/Menlo/Jan-nano-gguf)

docs/src/pages/docs/menlo-models/overview.mdx

@@ -0,0 +1,40 @@
+---
+title: Overview
+description: Jan Models
+keywords:
+  [
+    Jan,
+    Jan Models,
+    Jan Model,
+    Jan Model List,
+    Menlo Models,
+    Menlo Model,
+    Jan-Nano-Gguf,
+    ReZero,
+    Model Context Protocol,
+    MCP,
+  ]
+---
+
+# Menlo Models
+
+At Menlo, we have focused on creating a series of models that are optimized for all sorts of tasks, including 
+web search, deep research, robotic control, and using MCPs. Our latest model, Jan-Nano-Gguf, is available in Jan 
+right now providing excellent results on tasks that use MCPs.
+
+You can have a look at all of our models, and download them from the HuggingFace [Menlo Models page](https://huggingface.co/Menlo).
+
+## Jan-Nano-Gguf (Available in Jan right now 🚀)
+
+![Jan Nano](../_assets/jan-nano0.png)
+
+Jan-Nano-Gguf is a 4-billion parameter model that is optimized for deep research tasks. It has been trained on a 
+variety of datasets and is designed to be used with the Model Context Protocol (MCP) servers.
+
+
+## ReZero
+
+ReZero (Retry-Zero) is a reinforcement learning framework that improves RAG systems by rewarding LLMs for retrying 
+failed queries. Traditional RAG approaches struggle when initial searches fail, but ReZero encourages persistence and 
+alternative strategies. This increases accuracy from 25% to 46.88% in complex information-seeking tasks.
+