Downloads · 30 days
0
Spanicin/Fulcrum_Achira
Fulcrum_Achira is a machine learning model from Spanicin. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
FulcrumAchira is a merge of the following models using LazyMergekit: mistralai/Mistral-7B-v0.1 OpenPipe/mistral-ft-optimized-1218
Downloads · 30 days
0
Access
Public
Updated Jan 9, 2024
Repo size
—
Likes
0
Public
Click a slice to open those files.
.md1.7 KB · 53%
From the Hugging Face model README
Fulcrum_Achira is a merge of the following models using LazyMergekit:
slices:
- sources:
- model: mistralai/Mistral-7B-v0.1
- model: OpenPipe/mistral-ft-optimized-1218
parameters:
density: 0.5
weight: 0.5
- model: mlabonne/NeuralHermes-2.5-Mistral-7B
parameters:
density: 0.5
weight: 0.3
merge_method: ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
normalize: true
dtype: bfloat16
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "Spanicin/Fulcrum_Achira"
messages = [{"role": "user", "content": "What is a large language model?"}]
tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])