chaitanya42
commited on
Commit
•
6b20772
1
Parent(s):
5668504
Created README.md
Browse files
README.md
ADDED
@@ -0,0 +1,49 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: mit
|
3 |
+
tags:
|
4 |
+
- text-generation
|
5 |
+
- conversational
|
6 |
+
- falcon
|
7 |
+
- lora
|
8 |
+
- peft
|
9 |
+
- trl
|
10 |
+
- bitsandbytes
|
11 |
+
---
|
12 |
+
|
13 |
+
# Falcon-7b-chat-new-finetune
|
14 |
+
|
15 |
+
This model is a fine-tuned version of [ybelkada/falcon-7b-sharded-bf16](https://huggingface.co/ybelkada/falcon-7b-sharded-bf16) using the [timdettmers/openassistant-guanaco](https://huggingface.co/datasets/timdettmers/openassistant-guanaco) dataset. It has been fine-tuned using LoRA (Low-Rank Adaptation), PEFT (Parameter-Efficient Fine-Tuning), and TRL (Transformer Reinforcement Learning) techniques. It also leverages BitsAndBytes for 4-bit quantization.
|
16 |
+
|
17 |
+
## Model Description
|
18 |
+
|
19 |
+
This model is intended for conversational AI tasks, such as chatbots and dialogue systems. It has been trained on a large dataset of human conversations and is capable of generating human-like text.
|
20 |
+
|
21 |
+
## Intended Uses & Limitations
|
22 |
+
|
23 |
+
- **Intended uses:** This model can be used for text generation, dialogue systems, and other conversational AI applications.
|
24 |
+
- **Limitations:** The model may generate biased or offensive content. It is important to carefully review the model's outputs before using them in a production environment.
|
25 |
+
|
26 |
+
## Training and Fine-tuning
|
27 |
+
|
28 |
+
- **Base model:** [ybelkada/falcon-7b-sharded-bf16](https://huggingface.co/ybelkada/falcon-7b-sharded-bf16)
|
29 |
+
- **Dataset:** [timdettmers/openassistant-guanaco](https://huggingface.co/datasets/timdettmers/openassistant-guanaco)
|
30 |
+
- **Fine-tuning techniques:** LoRA, PEFT, TRL
|
31 |
+
- **Quantization:** BitsAndBytes (4-bit)
|
32 |
+
|
33 |
+
## How to Use
|
34 |
+
```
|
35 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
|
36 |
+
|
37 |
+
prompt = "Explain AI vs ML vs DL vs Generative AI."
|
38 |
+
model_name = "chaitanya42/Falcon-7b-chat-new-finetune"
|
39 |
+
tokenizer = AutoTokenizer.from_pretrained(model_name)
|
40 |
+
model = AutoModelForCausalLM.from_pretrained(model_name)
|
41 |
+
|
42 |
+
pipe = pipeline(task="text-generation", model=model, tokenizer=tokenizer, max_length=200)
|
43 |
+
result = pipe(f"{prompt} \n")
|
44 |
+
print(result[0]['generated_text'])
|
45 |
+
```
|
46 |
+
|
47 |
+
## Author
|
48 |
+
|
49 |
+
This model was fine-tuned by [chaitanya42](https://huggingface.co/chaitanya42).
|