Edit model card

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
Downloads last month
77
Safetensors
Model size
12.9B params
Tensor type
BF16
·
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 lodrick-the-lafted/Grafted-Hermetic-Platypus-C-2x7B

Quantizations
1 model

Datasets used to train lodrick-the-lafted/Grafted-Hermetic-Platypus-C-2x7B

Evaluation results