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Grafted-Hermetic-Platypus-C-2x7B

MoE merge of



Prompt Format

Both the default Mistral-Instruct tags and Alpaca are fine, so either:

<s>[INST] {sys_prompt} {instruction} [/INST] 

or

{sys_prompt}

### Instruction:
{instruction}

### Response:

The tokenizer default is Alpaca this time around.



Usage

from transformers import AutoTokenizer
import transformers
import torch

model = "lodrick-the-lafted/Grafted-Hermetic-Platypus-A-2x7B"

tokenizer = AutoTokenizer.from_pretrained(model)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    model_kwargs={"torch_dtype": torch.bfloat16},
)

messages = [{"role": "user", "content": "Give me a cooking recipe for an peach pie."}]
prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_p=0.95)
print(outputs[0]["generated_text"])

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 64.39
AI2 Reasoning Challenge (25-Shot) 58.96
HellaSwag (10-Shot) 82.77
MMLU (5-Shot) 62.08
TruthfulQA (0-shot) 60.87
Winogrande (5-shot) 77.74
GSM8k (5-shot) 43.90
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Model size
12.9B params
Tensor type
BF16
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Datasets used to train lodrick-the-lafted/Grafted-Hermetic-Platypus-C-2x7B

Evaluation results