Experiment28Yam-7B

Experiment28Yam-7B is an automated merge created by Maxime Labonne using the following configuration.

🧩 Configuration

models:
- model: yam-peleg/Experiment28-7B
  # No parameters necessary for base model
- model: mayacinka/yam-jom-7B-slerp
  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/Experiment28Yam-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
89
Safetensors
Model size
7.24B params
Tensor type
BF16
Β·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for automerger/Experiment28Yam-7B

Finetuned
(2)
this model
Merges
8 models
Quantizations
1 model