|
--- |
|
license: mit |
|
language: |
|
- en |
|
library_name: transformers |
|
pipeline_tag: text-generation |
|
--- |
|
|
|
**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:** |
|
```python |
|
!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"]) |
|
``` |