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Signed-off-by: Max Cembalest <max@nomic.ai>

* jul2 docs updates

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Signed-off-by: Max Cembalest <max@nomic.ai>
Signed-off-by: mcembalest <70534565+mcembalest@users.noreply.github.com>
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gpt4all-bindings/python/docs/gpt4all_help/faq.md
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### Which language models are supported?
Our backend supports models with a `llama.cpp` implementation which have been uploaded to [HuggingFace](https://huggingface.co/).
We support models with a `llama.cpp` implementation which have been uploaded to [HuggingFace](https://huggingface.co/).
### Which embedding models are supported?
The following embedding models can be used within the application and with the `Embed4All` class from the `gpt4all` Python library. The default context length as GGUF files is 2048 but can be [extended](https://huggingface.co/nomic-ai/nomic-embed-text-v1.5-GGUF#description).
| Name | Initializing with `Embed4All` | Context Length | Embedding Length | File Size |
|--------------------|------------------------------------------------------|---------------:|-----------------:|----------:|
| [SBert](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2)| ```pythonemb = Embed4All("all-MiniLM-L6-v2.gguf2.f16.gguf")```| 512 | 384 | 44 MiB |
| [Nomic Embed v1](https://huggingface.co/nomic-ai/nomic-embed-text-v1-GGUF) | nomic&#x2011;embed&#x2011;text&#x2011;v1.f16.gguf| 2048 | 768 | 262 MiB |
| [Nomic Embed v1.5](https://huggingface.co/nomic-ai/nomic-embed-text-v1.5-GGUF) | nomic&#x2011;embed&#x2011;text&#x2011;v1.5.f16.gguf| 2048 | 64-768 | 262 MiB |
We support SBert and Nomic Embed Text v1 & v1.5.
## Software