Create README.md

README.md

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+
+library_name: transformers
+---
+
+# ibleducation/ibl-fordham-7b
+ibleducation/ibl-fordham-7b is a model finetuned on top of openchat/openchat_3.5
+
+This model is finetuned to answer questions about fordham university.
+
+
+  
+
+## Model Details
+
+- **Developed by:** [IBL Education](https://ibl.ai)
+- **Model type:** [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)
+- **Base Model:** [OpenChat 3.5](https://huggingface.co/openchat/openchat_3.5)
+- **Language:** English
+- **Finetuned from weights:** [OpenChat 3.5](https://huggingface.co/openchat/openchat_3.5)
+- **Finetuned on data:**
+  - [ibleducation/fordham-university](https://huggingface.co/datasets/ibleducation/fordham-university)
+- **Model License:** Apache 2.0
+- **Epochs**: 7
+## How to Use ibl-fordham-7b Model from Python Code (HuggingFace transformers) ##
+
+### Install the necessary packages
+
+Requires: [transformers](https://pypi.org/project/transformers/) 4.35.0 or later, and [accelerate](https://pypi.org/project/accelerate/) 0.23.0 or later.
+
+```shell
+pip install transformers==4.35.0
+pip install accelerate==0.23.0
+```
+### You can then try the following example code
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import transformers
+import torch
+
+model_id = "ibleducation/ibl-fordham-7b"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+  model_id,
+  device_map="auto",
+)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    tokenizer=tokenizer,
+)
+prompt = "<s>What programmes are offered at fordham university?</s>"
+
+response = pipeline(prompt)
+print(response['generated_text'])
+```
+**Important** - Use the prompt template below for ibl-fordham-7b:
+```
+<s>{prompt}</s>
+```