models:
  - model: mistralai/Mistral-7B-v0.1
  - model: mistralai/Mistral-7B-Instruct-v0.2
  - model: CultriX/NeuralTrix-bf16
  - model: OpenPipe/mistral-ft-optimized-1227
merge_method: model_stock
base_model: mistralai/Mistral-7B-v0.1
dtype: bfloat16

🏆 Evals

Model	Average	AGIEval	GPT4All	TruthfulQA	Bigbench
pandafish-7b 📄	51.99	40	74.23	53.22	40.51
mistralai/Mistral-7B-Instruct-v0.2 📄	54.81	38.5	71.64	66.82	42.29

💻 Usage

python

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "ichigoberry/pandafish-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"])

RichardErkhov/ichigoberry_-_pandafish-7b-8bits

Original model description:

pandafish-7b

🧩 Configuration

🏆 Evals

💻 Usage

RichardErkhov/
ichigoberry_-_pandafish-7b-8bits