Quantization made by Richard Erkhov.
NeuralSynthesis-7B-v0.2 - bnb 4bits
- Model creator: https://huggingface.co/Kukedlc/
- Original model: https://huggingface.co/Kukedlc/NeuralSynthesis-7B-v0.2/
Original model description:
tags: - merge - mergekit - lazymergekit license: apache-2.0
NeuralSynthesis-7B-v0.2
NeuralSynthesis-7B-v0.2 is a merge of the following models using LazyMergekit:
🧩 Configuration
models:
- model: Kukedlc/Fasciculus-Arcuatus-7B-slerp
- model: Gille/StrangeMerges_30-7B-slerp
- model: automerger/OgnoExperiment27-7B
- model: Kukedlc/Jupiter-k-7B-slerp
- model: Kukedlc/Neural-4-QA-7b
- model: Kukedlc/NeuralSynthesis-7B-v0.1
merge_method: model_stock
base_model: Kukedlc/NeuralSynthesis-7B-v0.1
dtype: bfloat16
💻 Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "Kukedlc/NeuralSynthesis-7B-v0.2"
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"])