base_model: vihangd/DopeyTinyLlama-1.1B-v1
experts:
  - source_model: vihangd/DopeyTinyLlama-1.1B-v1
    positive_prompts:
    - "chat"
    - "assistant"
    - "explain"
  - source_model: phanerozoic/Tiny-Pirate-1.1b-v0.1
    positive_prompts:
    - "storywriting"
    - "scene"
    - "story"
  - source_model: Tensoic/TinyLlama-1.1B-3T-openhermes
    positive_prompts:
    - "reason"
    - "instruct"
    - "count"

💻 Usage

python

!pip install -qU transformers bitsandbytes accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "aipib/Tinyllama-moe1"

tokenizer = AutoTokenizer.from_pretrained(model)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
)

messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
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_k=50, top_p=0.95)
print(outputs[0]["generated_text"])

RichardErkhov/aipib_-_Tinyllama-moe1-8bits

Original model description:

Tinyllama-moe1

🧩 Configuration

💻 Usage

RichardErkhov/
aipib_-_Tinyllama-moe1-8bits