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RichardErkhov/silvercoder67_-_Mistral-7b-instruct-v0.2-summ-sft-e2m-4bits
silvercoder67_-_Mistral-7b-instruct-v0.2-summ-sft-e2m-4bits 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
27% of all-time downloads
All-time downloads
22
Public
Parameters
7.4B
4.5 GB on disk
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Public
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.safetensors4.5 GB · 100%
How the weights are stored.
U87B · 95%
From the Hugging Face model README
Quantization made by Richard Erkhov.
Mistral-7b-instruct-v0.2-summ-sft-e2m - bnb 4bits
Description to load and test will be added soon. More details on training and data will be added aswell.
Use the following Python code to load the model:
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
TBD
To generate text, use the following Python code:
text = "Hi, my name is "
inputs = tokenizer(text, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=64)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))