Model Card

Model Name: BathSalt-1/daedalus-phi-3

Model Type: Large Language Model

Description: This model is a merge of the Or4cl3-1/Daedalus_1 and microsoft/Phi-3-mini-4k-instruct models using the LazyMergekit library. It is designed for general-purpose natural language processing tasks.

Metadata:

License: MIT License
Language: English
Library: Transformers
Base Model: microsoft/Phi-3-mini-4k-instruct
Merge Method: slerp
Layer Range: [0, 32]
Parameters:
- t:
  - filter: self_attn
  - value: [0, 0.5, 0.3, 0.7, 1]
  - filter: mlp
  - value: [1, 0.5, 0.7, 0.3, 0]
  - value: 0.5
- dtype: bfloat16

Usage:

Tokenizer: AutoTokenizer
Model: AutoModelForSeq2SeqLM
Pipeline: text-generation
Device: auto

Example Code:

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "BathSalt-1/daedalus-phi-3"
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"])

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