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RichardErkhov/DeepMount00_-_Lexora-Lite-3B-8bits
DeepMount00_-_Lexora-Lite-3B-8bits is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Downloads · 30 days
6
29% of all-time downloads
All-time downloads
21
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Parameters
3.1B
3.4 GB on disk
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Public
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.safetensors3.4 GB · 100%
How the weights are stored.
I82.8B · 90%
From the Hugging Face model README
Quantization made by Richard Erkhov.
Lexora-Lite-3B - bnb 8bits
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
model_name = "DeepMount00/Lexora-Lite-3B"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(
model_name,
torch_dtype=torch.bfloat16,
device_map="auto",
)
prompt = [{'role': 'user', 'content': """Marco ha comprato 5 scatole di cioccolatini. Ogni scatola contiene 12 cioccolatini. Ha deciso di dare 3 cioccolatini a ciascuno dei suoi 7 amici. Quanti cioccolatini gli rimarranno dopo averli distribuiti ai suoi amici?"""}]
inputs = tokenizer.apply_chat_template(
prompt,
add_generation_prompt=True,
return_tensors='pt'
)
tokens = model.generate(
inputs.to(model.device),
max_new_tokens=1024,
temperature=0.001,
do_sample=True
)
print(tokenizer.decode(tokens[0], skip_special_tokens=False))