automerger_-_NeuralsynthesisCalmexperiment-7B-4bits

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NeuralsynthesisCalmexperiment-7B - bnb 4bits

• Model creator: https://huggingface.co/automerger/
• Original model: https://huggingface.co/automerger/NeuralsynthesisCalmexperiment-7B/

Original model description:

license: apache-2.0 tags:

• merge
• mergekit
• lazymergekit
• automerger base_model:
• allknowingroger/CalmExperiment-7B-slerp

---

NeuralsynthesisCalmexperiment-7B

NeuralsynthesisCalmexperiment-7B is an automated merge created by Maxime Labonne using the following configuration.

• allknowingroger/CalmExperiment-7B-slerp

🧩 Configuration

models:
- model: Kukedlc/NeuralSynthesis-7B-v0.1
  # No parameters necessary for base model
- model: allknowingroger/CalmExperiment-7B-slerp
  parameters:
    density: 0.53
    weight: 0.6
merge_method: dare_ties
base_model: Kukedlc/NeuralSynthesis-7B-v0.1
parameters:
int8_mask: true
dtype: bfloat16
random_seed: 0

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "automerger/NeuralsynthesisCalmexperiment-7B"
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"])