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RichardErkhov/Kukedlc_-_NeuralSynthesis-7B-v0.3-4bits
Kukedlc_-_NeuralSynthesis-7B-v0.3-4bits 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
3
17% of all-time downloads
All-time downloads
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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.
NeuralSynthesis-7B-v0.3 - bnb 4bits
tags:

NeuralSynthesis-7B-v0.3 is a merge of the following models using LazyMergekit:
models:
- model: MiniMoog/Mergerix-7b-v0.3
- model: automerger/Ognoexperiment27Multi_verse_model-7B
- model: nlpguy/T3QM7
- model: Kukedlc/NeuralSynthesis-7B-v0.1
- model: liminerity/M7-7b
- model: automerger/YamshadowExperiment28-7B
merge_method: model_stock
base_model: automerger/YamshadowExperiment28-7B
dtype: bfloat16
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "Kukedlc/NeuralSynthesis-7B-v0.3"
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"])