Edit model card

Zebrafish-7B

Zebrafish-7B is my first model using the new merge method called Model Stock.

Zebrafish-7B is a merge of the following models using LazyMergekit:

Special thanks to Charles Goddard for the quick implementation!

πŸ† Evaluation

Nous

Model Average AGIEval GPT4All TruthfulQA Bigbench
mlabonne/AlphaMonarch-7B πŸ“„ 62.74 45.37 77.01 78.39 50.2
mlabonne/Zebrafish-7B πŸ“„ 62.41 44.92 77.18 78.25 49.28
mlabonne/Beyonder-4x7B-v3 πŸ“„ 61.91 45.85 76.67 74.98 50.12
mlabonne/NeuralBeagle14-7B πŸ“„ 60.25 46.06 76.77 70.32 47.86
mistralai/Mistral-7B-Instruct-v0.2 πŸ“„ 54.81 38.5 71.64 66.82 42.29

🧩 Configuration

models:
  - model: mistralai/Mistral-7B-v0.1
  - model: liminerity/M7-7b
  - model: rwitz/experiment26-truthy-iter-0
merge_method: model_stock
base_model: mistralai/Mistral-7B-v0.1
dtype: bfloat16

πŸ’» Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "mlabonne/Zebrafish-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
87
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 mlabonne/Zebrafish-7B

Base model

liminerity/M7-7b
Finetuned
(19)
this model
Merges
2 models
Quantizations
1 model

Spaces using mlabonne/Zebrafish-7B 5