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README.md

@@ -20,26 +20,11 @@ model-index:
   results: []
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-![Alt text](https://cdn.discordapp.com/attachments/989904887330521099/1204964869565317120/Alchemist_Hermes_Illustration.jpeg?ex=65d6a5fc&is=65c430fc&hm=9939eb11dd4b7872a67019a328ad2832315a1e2ad273e2d0dc7134a5d45a58ee&)
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 # mlx-community/NousHermes-Mixtral-8x7B-Reddit-mlx
-This model was converted to MLX format from [`mlx-community/Nous-Hermes-2-Mixtral-8x7B-DPO-4bit`]() and finetuned on a dataset of 7k selected Reddit threads.
+This model was converted to MLX format from [`mlx-community/Nous-Hermes-2-Mixtral-8x7B-DPO-4bit`]().
 Refer to the [original model card](https://huggingface.co/mlx-community/Nous-Hermes-2-Mixtral-8x7B-DPO-4bit) for more details on the model.
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-For the Dataset [original dataset](https://huggingface.co/datasets/euclaise/reddit-instruct-curated)
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 ## Use with mlx
 
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-When using the model use the fromat:
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-Question: [your question]
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-Assistant:
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-
 ```bash
 pip install mlx-lm
 ```
@@ -48,5 +33,5 @@ pip install mlx-lm
 from mlx_lm import load, generate
 
 model, tokenizer = load("mlx-community/NousHermes-Mixtral-8x7B-Reddit-mlx")
-response = generate(model, tokenizer, prompt="Question:ELI5 quantum mechanics. Assistant:", verbose=True)
+response = generate(model, tokenizer, prompt="hello", verbose=True)
 ```