Plasma-8B

Plasma-8B is a merge of the following models using LazyMergekit:

• DoesntKnowAI/MentalNitrogenOxide-8B
• arcee-ai/Llama-3.1-SuperNova-Lite

I ran out of naming ideas when naming this. Use if you want but note that this model was only created so that I can merge it with another model

GGUF: DoesntKnowAI/Plasma-8B-Q8_0-GGUF

🧩 Configuration

slices:
  - sources:
      - model: DoesntKnowAI/MentalNitrogenOxide-8B
        layer_range: [0, 32]
        weight: 0.86
      - model: arcee-ai/Llama-3.1-SuperNova-Lite
        layer_range: [0, 32]
        weight: 0.14
merge_method: slerp
parameters:
  t:
    - model: DoesntKnowAI/MentalNitrogenOxide-8B
      value: 1.0
    - model: arcee-ai/Llama-3.1-SuperNova-Lite
      value: 1.0
base_model: DoesntKnowAI/MentalNitrogenOxide-8B
dtype: bfloat16

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "DoesntKnowAI/Plasma-8B"
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"])