Switch to new models2.json for new gguf release and bump our version to

2.5.0.

gpt4all-bindings/python/docs/gpt4all_chat.md

@@ -7,7 +7,7 @@ It is optimized to run 7-13B parameter LLMs on the CPU's of any computer running
 ## Running LLMs on CPU
 The GPT4All Chat UI supports models from all newer versions of `GGML`, `llama.cpp` including the `LLaMA`, `MPT`, `replit`,  `GPT-J` and `falcon` architectures
 
-GPT4All maintains an official list of recommended models located in [models.json](https://github.com/nomic-ai/gpt4all/blob/main/gpt4all-chat/metadata/models.json). You can pull request new models to it and if accepted they will show up in the official download dialog.
+GPT4All maintains an official list of recommended models located in [models2.json](https://github.com/nomic-ai/gpt4all/blob/main/gpt4all-chat/metadata/models2.json). You can pull request new models to it and if accepted they will show up in the official download dialog.
 
 #### Sideloading any GGML model
 If a model is compatible with the gpt4all-backend, you can sideload it into GPT4All Chat by:

gpt4all-bindings/python/docs/gpt4all_faq.md

@@ -61,12 +61,12 @@ or `allowDownload=true` (default), a model is automatically downloaded into `.ca
 unless it already exists.
 
 In case of connection issues or errors during the download, you might want to manually verify the model file's MD5
-checksum by comparing it with the one listed in [models.json].
+checksum by comparing it with the one listed in [models2.json].
 
 As an alternative to the basic downloader built into the bindings, you can choose to download from the 
 <https://gpt4all.io/> website instead. Scroll down to 'Model Explorer' and pick your preferred model.
 
-[models.json]: https://github.com/nomic-ai/gpt4all/blob/main/gpt4all-chat/metadata/models.json
+[models2.json]: https://github.com/nomic-ai/gpt4all/blob/main/gpt4all-chat/metadata/models2.json
 
 #### I need the chat GUI and bindings to behave the same
 
@@ -93,7 +93,7 @@ The chat GUI and bindings are based on the same backend. You can make them behav
 - Next you'll have to compare the templates, adjusting them as necessary, based on how you're using the bindings.
     - Specifically, in Python:
         - With simple `generate()` calls, the input has to be surrounded with system and prompt templates.
-        - When using a chat session, it depends on whether the bindings are allowed to download [models.json]. If yes,
+        - When using a chat session, it depends on whether the bindings are allowed to download [models2.json]. If yes,
           and in the chat GUI the default templates are used, it'll be handled automatically. If no, use
           `chat_session()` template parameters to customize them.
 

gpt4all-bindings/python/docs/gpt4all_modal.md

@@ -8,7 +8,7 @@ import modal
 
 def download_model():
     import gpt4all
-    #you can use any model from https://gpt4all.io/models/models.json
+    #you can use any model from https://gpt4all.io/models/models2.json
     return gpt4all.GPT4All("ggml-gpt4all-j-v1.3-groovy.bin")
 
 image=modal.Image.debian_slim().pip_install("gpt4all").run_function(download_model)
@@ -31,4 +31,4 @@ def main():
     model = GPT4All()
     for i in range(10):
         model.generate.call()
-```
+```

gpt4all-bindings/python/docs/gpt4all_python.md

@@ -77,10 +77,10 @@ When using GPT4All models in the `chat_session` context:
 - Consecutive chat exchanges are taken into account and not discarded until the session ends; as long as the model has capacity.
 - Internal K/V caches are preserved from previous conversation history, speeding up inference.
 - The model is given a system and prompt template which make it chatty. Depending on `allow_download=True` (default),
-  it will obtain the latest version of [models.json] from the repository, which contains specifically tailored templates
+  it will obtain the latest version of [models2.json] from the repository, which contains specifically tailored templates
   for models. Conversely, if it is not allowed to download, it falls back to default templates instead.
 
-[models.json]: https://github.com/nomic-ai/gpt4all/blob/main/gpt4all-chat/metadata/models.json
+[models2.json]: https://github.com/nomic-ai/gpt4all/blob/main/gpt4all-chat/metadata/models2.json
 
 
 ### Streaming Generations
@@ -379,7 +379,7 @@ logging infrastructure offers [many more customization options][py-logging-cookb
 
 ### Without Online Connectivity
 To prevent GPT4All from accessing online resources, instantiate it with `allow_download=False`. This will disable both
-downloading missing models and [models.json], which contains information about them. As a result, predefined templates
+downloading missing models and [models2.json], which contains information about them. As a result, predefined templates
 are used instead of model-specific system and prompt templates:
 
 === "GPT4All Default Templates Example"

gpt4all-bindings/python/docs/index.md

@@ -38,7 +38,7 @@ The GPT4All software ecosystem is compatible with the following Transformer arch
 - `MPT` (including `Replit`)
 - `GPT-J`
 
-You can find an exhaustive list of supported models on the [website](https://gpt4all.io) or in the [models directory](https://raw.githubusercontent.com/nomic-ai/gpt4all/main/gpt4all-chat/metadata/models.json)
+You can find an exhaustive list of supported models on the [website](https://gpt4all.io) or in the [models directory](https://raw.githubusercontent.com/nomic-ai/gpt4all/main/gpt4all-chat/metadata/models2.json)
 
 
 GPT4All models are artifacts produced through a process known as neural network quantization.