README.md

metadata

tags:
  - merge
  - mergekit
  - lazymergekit
  - codellama/CodeLlama-34b-Instruct-hf
  - Phind/Phind-CodeLlama-34B-v2
base_model:
  - codellama/CodeLlama-34b-Instruct-hf
  - Phind/Phind-CodeLlama-34B-v2

uptimeai-8273

uptimeai-8273 is a merge of the following models using LazyMergekit:

• codellama/CodeLlama-34b-Instruct-hf
• Phind/Phind-CodeLlama-34B-v2

🧩 Configuration

models:
  - model: codellama/CodeLlama-34b-Instruct-hf
    parameters:
      density: [1, 0.7, 0.1] # density gradient
      weight: 1.0
  - model: Phind/Phind-CodeLlama-34B-v2
    parameters:
      density: 0.5
      weight: [0, 0.3, 0.7, 1] # weight gradient
merge_method: dare_ties
base_model: codellama/CodeLlama-34b-Instruct-hf
parameters:
  normalize: true
  int8_mask: true
dtype: float16

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "okeanos/uptimeai-8273"
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"])