Update README.md

Signed-off-by: AT <[email protected]>

README.md

@@ -1,5 +1,5 @@
 <h1 align="center">GPT4All</h1>
-<p align="center">Open-source assistant-style large language models that run locally on CPU</p>
+<p align="center">Open-source assistant-style large language models that run locally on your CPU</p>
 
 <p align="center">
 <a href="https://gpt4all.io">GPT4All Website</a>
@@ -80,7 +80,6 @@ If you have older hardware that only supports avx and not avx2 you can use these
 
 * [Ubuntu - avx-only](https://gpt4all.io/installers/gpt4all-installer-linux-avx-only.run)
 
-
 Find the most up-to-date information on the [GPT4All Website](https://gpt4all.io/)
 
 ### Chat Client building and running
@@ -93,43 +92,9 @@ Find the most up-to-date information on the [GPT4All Website](https://gpt4all.io
 * <a href="https://github.com/nomic-ai/gpt4all/tree/main/gpt4all-bindings/typescript">:computer: Official Typescript Bindings</a>
 
 
-## Training GPT4All-J
-
-Please see [GPT4All-J Technical Report](https://static.nomic.ai/gpt4all/2023_GPT4All-J_Technical_Report_2.pdf) for details.
-
-### GPT4All-J Training Data
-
-- We are releasing the curated training data for anyone to replicate GPT4All-J here: [GPT4All-J Training Data](https://huggingface.co/datasets/nomic-ai/gpt4all-j-prompt-generations)
-   - [Atlas Map of Prompts](https://atlas.nomic.ai/map/gpt4all-j-prompts-curated)
-   - [Atlas Map of Responses](https://atlas.nomic.ai/map/gpt4all-j-response-curated)
-
-We have released updated versions of our `GPT4All-J` model and training data. 
-
-- `v1.0`: The original model trained on the v1.0 dataset
-- `v1.1-breezy`: Trained on a filtered dataset where we removed all instances of AI language model
-- `v1.2-jazzy`: Trained on a filtered dataset where we also removed instances like I'm sorry, I can't answer... and AI language model
-
-The [models](https://huggingface.co/nomic-ai/gpt4all-j) and [data](https://huggingface.co/datasets/nomic-ai/gpt4all-j-prompt-generations) versions can be specified by passing a `revision` argument.
-
-For example, to load the `v1.2-jazzy` model and dataset, run:
-
-```python
-from datasets import load_dataset
-from transformers import AutoModelForCausalLM
-
-dataset = load_dataset("nomic-ai/gpt4all-j-prompt-generations", revision="v1.2-jazzy")
-model = AutoModelForCausalLM.from_pretrained("nomic-ai/gpt4all-j-prompt-generations", revision="v1.2-jazzy")
-```
-
-### GPT4All-J Training Instructions
-
-```bash
-accelerate launch --dynamo_backend=inductor --num_processes=8 --num_machines=1 --machine_rank=0 --deepspeed_multinode_launcher standard --mixed_precision=bf16  --use_deepspeed --deepspeed_config_file=configs/deepspeed/ds_config_gptj.json train.py --config configs/train/finetune_gptj.yaml
-```
-
 ## Contributing
-GPT4All welcomes contribution, involvment, and discussion from the open source community!
-Please see CONTRIBUTING.md and follow the issue, bug report, and PR markdown templates.
+GPT4All welcomes contributions, involvement, and discussion from the open source community!
+Please see CONTRIBUTING.md and follow the issues, bug reports, and PR markdown templates.
 
 Check project discord, with project owners, or through existing issues/PRs to avoid duplicate work.
 Please make sure to tag all of the above with relevant project identifiers or your contribution could potentially get lost.