Experiment28Experiment29-7B

Experiment28Experiment29-7B is an automated merge created by Maxime Labonne using the following models:

🧩 Configuration

  models:
    - model: yam-peleg/Experiment28-7B
      # No parameters necessary for base model
    - model: yam-peleg/Experiment29-7B
      parameters:
        density: 0.53
        weight: 0.6
  merge_method: dare_ties
  base_model: yam-peleg/Experiment28-7B
  parameters:
    int8_mask: true
  dtype: bfloat16
  random_seed: 0

πŸ’» Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "automerger/Experiment28Experiment29-7B"
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"])
Downloads last month
12
Safetensors
Model size
7.24B params
Tensor type
BF16
Β·
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.

Model tree for automerger/Experiment28Experiment29-7B

Finetuned
(1)
this model
Merges
7 models
Quantizations
1 model