Changes to Jan Model Spec and fix issues in Swagger

docs/docs/specs/models.md

@@ -18,52 +18,67 @@ Jan's Model API aims to be as similar as possible to [OpenAI's Models API](https
 
 ### Objectives
 
-- Users can start/stop models and use them in a thread (or via Chat Completions API)
 - Users can download, import and delete models  
-- User can configure model settings at the model level or override it at thread-level
 - Users can use remote models (e.g. OpenAI, OpenRouter)
+- Users can start/stop models and use them in a thread (or via Chat Completions API)
+- User can configure default model parameters at the model level (to be overridden later at message or thread level)
 
 ## Models Folder
 
 Models in Jan are stored in the `/models` folder.
 
- `<model-name>.json` files. 
+Models are stored and organized by folders, which are atomic representations of a model for easy packaging and version control. 
 
-- Everything needed to represent a `model` is packaged into an `Model folder`.
+A model's folder name is its `model.id` and contains:
-- The `folder` is standalone and can be easily zipped, imported, and exported, e.g. to Github.
-- The `folder` always contains at least one `Model Object`, declared in a `json` format.
-- The `folder` and `file` do not have to share the same name
-- The model `id` is made up of `folder_name/filename` and is thus always unique.
 
-Folders are human readable names
+- `<model-id>.json`, i.e. the [Model Object](#model-object)
+- Binaries (may be downloaded later)
 
-### Auto-detection
+```shell
-
+/jan    # Jan root folder
-You can import a model by just dragging it into the `/models` folder
-- Jan will detect and generate a corresponding `.json` file based on filename
-- Jan will move it into its own folder once you choose a human readable name for it
-- Jan will fill out the model.json file as you add metadata through the UI
-
-```sh
-/janroot
     /models
-        azure-openai/                       # Folder name
+        # GGUF model
-            azure-openai-gpt3-5.json        # File name
+        /llama2-70b
+            llama2-70b.json
+            llama2-70b-q4_k_m.gguf
 
-        llama2-70b/
+        # Recommended Model (yet to be downloaded)
-            model.json
+        /mistral-7b
-            .gguf
+            mistral-7b.json     # Contains download instructions
+            # Note: mistral-7b-*.gguf binaries not downloaded yet
+
+        # Remote model
+        /azure-openai-gpt3-5
+            azure-openai-gpt3-5.json     
+            # Note: No binaries
+
+        # Multiple Binaries
+        # COMING SOON
+
+        # Multiple Quantizations
+        # COMING SOON
+
+        # Imported model (autogenerated .json)
+        random-model-q4_k_m.bin
+        # Note: will be moved into a autogenerated folder 
+        # /random-model-q4_k_m 
+        #   random-model-q4_k_m.bin
+        #   random-model-q4_k_m.json (autogenerated)
 ```
 
+### Importing Models
+
+You can import a model by just dragging it into the `/models` folder, similar to Oobabooga. 
+
+- Jan will detect and generate a corresponding `model-filename.json` file based on filename
+- Jan will move it into its own `/model-id` folder once you define a `model-id` via the UI
+- Jan will populate the model's `model-id.json` as you add metadata through the UI
+
 ## Model Object
 
-Models in Jan are represented as `json` objects, and are colloquially known as `model.jsons`. 
+Jan represents models as `json`-based Model Object files, known colloquially as `model.jsons`. Jan aims for rough equivalence with [OpenAI's Model Object](https://platform.openai.com/docs/api-reference/models/object) with additional properties to support local models.  
 
-Jan's models follow a `<model_name>.json` naming convention. 
+Jan's models follow a `model_id.json` naming convention, and are built to be extremely lightweight, with the only mandatory field being a `source_url` to download the model binaries. 
-
-Jan's `model.json` aims for rough equivalence with [OpenAI's Model Object](https://platform.openai.com/docs/api-reference/models/object), and add additional properties to support local models.  
-
-Jan's `model.json` object properties are optional, i.e. users should be able to run a model declared by an empty `json` file.
 
 <ApiSchema example pointer="#/components/schemas/Model" />
 

docs/openapi/jan.yaml

@@ -7321,9 +7321,8 @@ components:
       title: Model
       description: Describes an Jan model
       properties:
-        type:
+        object:
           type: string
-          enum: [model, assistant, thread, message]     # This should be specified
           default: model
         version: 
           type: integer
@@ -7332,15 +7331,15 @@ components:
         source_url:
           type: string
           format: uri
-          default: https://huggingface.co/TheBloke/zephyr-7B-beta-GGUF/blob/main/zephyr-7b-beta.Q4_K_M.gguf
+          example: https://huggingface.co/TheBloke/zephyr-7B-beta-GGUF/blob/main/zephyr-7b-beta.Q4_K_M.gguf
           description: The model download source. It can be an external url or a local filepath.
         id:               # OpenAI-equivalent
           type: string
           description: The model identifier, which can be referenced in the API endpoints.
-          default: zephyr-7b
+          example: zephyr-7b
-        description:
+        name:
           type: string
-          default: A cool model from Huggingface
+          description: Human-readable name that is used for UI
         owned_by:         # OpenAI-equivalent
           type: string
           description: The organization that owns the model (you!)
@@ -7348,6 +7347,9 @@ components:
         created:
           type: integer
           description: The Unix timestamp (in seconds) for when the model was created
+        description:
+          type: string
+          default: A cool model from Huggingface
         state:
           type: string
           enum: [to_download, downloading, ready, running]
@@ -7451,17 +7453,12 @@ components:
             binaries: TODO
           }
       required:
-        - object
-        - source_url
-        - parameters
-        - description
-        - metadata
-        - state
-        - name
         - id            # From OpenAI
-        - object        # From OpenAI
+        - version
-        - created       # From OpenAI
+        - source_url
-        - owned_by      # From OpenAI
+        - created       # From OpenAI, autogenerated in Jan
+        - object        # From OpenAI, autogenerated in Jan
+        - owned_by      # From OpenAI, autogenerated in Jan
       x-oaiMeta:
         name: The model object
         example: *retrieve_model_response