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RichardErkhov/vanillaOVO_-_merge_7B_state_2-8bits
vanillaOVO_-_merge_7B_state_2-8bits 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
10
38% of all-time downloads
All-time downloads
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7.2B
7.5 GB on disk
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.safetensors7.5 GB · 100%
How the weights are stored.
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From the Hugging Face model README
Quantization made by Richard Erkhov.
merge_7B_state_2 - bnb 8bits
base_model: [] tags:
This is a merge of pre-trained language models created based on DARE using mergekit.
More descriptions of the model will be added soon.
Use the following Python code to load the model:
import torch
from transformers import MistralForCausalLM, AutoTokenizer
model = MistralForCausalLM.from_pretrained("vanillaOVO/merge_7B_state_2", device_map="auto")
tokenizer = AutoTokenizer.from_pretrained("vanillaOVO/merge_7B_state_2")
To generate text, use the following Python code:
text = "Large language models are "
inputs = tokenizer(text, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))