|
--- |
|
language: |
|
- en |
|
- hi |
|
license: apache-2.0 |
|
tags: |
|
- text-generation-inference |
|
- transformers |
|
- unsloth |
|
- llama |
|
- trl |
|
- Hinglish |
|
base_model: unsloth/llama-3-8b-Instruct-bnb-4bit |
|
datasets: |
|
- cmu_hinglish_dog |
|
- suyash2739/Hinglish |
|
--- |
|
# Better model |
|
|
|
I have just deployed a better model than this on [https://huggingface.co/suyash2739/English_to_Hinglish_fintuned_lamma_3_8b_instruct ] |
|
|
|
# Loss Curve |
|
|
|
![image/png](https://cdn-uploads.huggingface.co/production/uploads/65187b234965add2b08b2990/f-qJHUQGxN9yaXym_5u4V.png) |
|
|
|
# Evaluation Loss |
|
|
|
![image/png](https://cdn-uploads.huggingface.co/production/uploads/65187b234965add2b08b2990/6VsNF_rgDjXlubd4x8dMk.png) |
|
|
|
|
|
# Colab Files: |
|
- Model_Use.ipynb file to use the model |
|
- Hinglish_train_lamma_3_8b_instruct_.ipynb to see how the model is trained |
|
|
|
# Inference: |
|
|
|
``` |
|
!pip install "unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git" |
|
!pip install --no-deps xformers trl peft accelerate bitsandbytes |
|
``` |
|
|
|
```python |
|
from unsloth import FastLanguageModel |
|
import torch |
|
max_seq_length = 2048 |
|
dtype = None # None for auto detection. Float16 for Tesla T4, V100, Bfloat16 for Ampere+ |
|
load_in_4bit = True # Use 4bit quantization to reduce memory usage. Can be False. |
|
|
|
model, tokenizer = FastLanguageModel.from_pretrained( |
|
model_name = "suyash2739/English_to_Hinglish_cmu_hinglish_dog", |
|
max_seq_length = max_seq_length, |
|
dtype = dtype, |
|
load_in_4bit = load_in_4bit, |
|
) |
|
``` |
|
|
|
```python |
|
prompt = """Translate the input from English to Hinglish to give the response. |
|
|
|
### Input: |
|
{} |
|
|
|
### Response: |
|
{}""" |
|
|
|
``` |
|
|
|
```python |
|
|
|
inputs = tokenizer( |
|
[ |
|
prompt.format( |
|
"""This is a fine-tuned Hinglish translation model using Llama 3.""", # input |
|
"", # output - leave this blank for generation! |
|
) |
|
], return_tensors = "pt").to("cuda") |
|
|
|
from transformers import TextStreamer |
|
text_streamer = TextStreamer(tokenizer) |
|
``` |
|
|
|
```python |
|
_ = model.generate(**inputs, streamer = text_streamer, max_new_tokens = 2048) |
|
## ye ek fine-tuned Hinglish translation model hai jisme Llama 3 use kiya gaya hai |
|
|
|
``` |
|
|
|
|
|
|
|
# Uploaded model |
|
|
|
- **Developed by:** suyash2739 |
|
- **License:** apache-2.0 |
|
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit |
|
|
|
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
|
|
|
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |