Edit model card

TinyJ.O.S.I.E.-2x1.1B-32k-Base

TinyJ.O.S.I.E.-2x1.1B-32k-Base is a Mixure of Experts (MoE) made with the following models using LazyMergekit:

🧩 Configuration

dtype: float32
gate_mode: hidden
experts:
  - source_model: Isaak-Carter/TinyJ.O.S.I.E.-1.1B-32k-Base
    positive_prompts:
      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent for general assistants.'
    negative_prompts:
      - 'You should not be used for coding tasks.'

  - source_model: Isaak-Carter/TinyJ.O.S.I.E.-1.1B-32k-Base
    positive_prompts:
      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent only for coding assistants.'

💻 Usage

!pip install -qU transformers bitsandbytes accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Isaak-Carter/TinyJ.O.S.I.E.-2x1.1B-32k-Base"

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"])
Downloads last month
9
Safetensors
Model size
1.86B params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for Goekdeniz-Guelmez/TinyJ.O.S.I.E.-2x1.1B-32k-Base