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Spanicin/Fulcrum2
Fulcrum2 is a text generation model from Spanicin. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
Fulcrum2 is a merge of the following models using LazyMergekit: OpenPipe/mistral-ft-optimized-1218 mlabonne/NeuralHermes-2.5-Mistral-7B
Downloads · 30 days
17
7% of all-time downloads
All-time downloads
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.safetensors14.5 GB · 100%
From the Hugging Face model README
Fulcrum2 is a merge of the following models using LazyMergekit:
slices:
- sources:
- model: OpenPipe/mistral-ft-optimized-1218
layer_range: [0, 32]
- model: mlabonne/NeuralHermes-2.5-Mistral-7B
layer_range: [0, 32]
merge_method: slerp
base_model: OpenPipe/mistral-ft-optimized-1218
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "Spanicin/Fulcrum2"
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"])