metadata

license: apache-2.0
datasets:
  - garage-bAInd/Open-Platypus
  - jondurbin/airoboros-3.2

Platyboros-Instruct-7B

Mistral-7B-Instruct-v0.2 trained with jondurbin/airoboros-3.2 and garage-bAInd/Open-Platypus, in Alpaca format.

Prompt Format

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

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

{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/Platyboros-Instruct-7B"

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"])