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RichardErkhov/pythainlp_-_KhanomTanLLM-1B-awq
pythainlp_-_KhanomTanLLM-1B-awq 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
19
54% of all-time downloads
All-time downloads
35
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From the Hugging Face model README
Quantization made by Richard Erkhov.
KhanomTanLLM-1B - AWQ
license: apache-2.0 language:
KhanomTan LLM is a bilingual language model trained in Thai and English from open source dataset by PyThaiNLP. We train the model from public dataset only. We public the dataset, source code, and model.
Repository: https://github.com/pythainlp/KhanomTanLLM
Codename: numfa-v2
The model was trained by easylm
Research supported with Cloud TPUs from Google's TPU Research Cloud (TRC). We use TPU4-64 for training model about 4 days.
Thank you TPU Research Cloud and EasyLM project! We use EasyLM for pretraining model.
Example
# !pip install accelerate sentencepiece transformers bitsandbytes
import torch
from transformers import pipeline
pipe = pipeline("text-generation", model="numfa/numfa_v2-1b", torch_dtype=torch.bfloat16, device_map="auto")
# We use the tokenizer's chat template to format each message - see https://huggingface.co/docs/transformers/main/en/chat_templating
outputs = pipe("test is", max_new_tokens=300, do_sample=True, temperature=0.9, top_k=50, top_p=0.95, no_repeat_ngram_size=2,typical_p=1.)
print(outputs[0]["generated_text"])