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Hermes-Instruct-7B-v0.2

Mistral-7B-Instruct-v0.2 trained with 100K rows of teknium/openhermes, in Alpaca format.



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/Hermes-Instruct-7B-100K"

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 apple 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. 64.96
AI2 Reasoning Challenge (25-Shot) 61.52
HellaSwag (10-Shot) 82.84
MMLU (5-Shot) 60.95
TruthfulQA (0-shot) 63.62
Winogrande (5-shot) 76.87
GSM8k (5-shot) 43.97
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Dataset used to train lodrick-the-lafted/Hermes-Instruct-7B-100K

Evaluation results