lilmeaty/model-7v08feylu8

---

    license: apache-2.0
    base_model:
    tags:
    - merge
    - mergekit
    - lazymergekit
    ---
    # lilmeaty/model-7v08feylu8
    lilmeaty/model-7v08feylu8 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
    ## 🧩 Configuration
    yamlmodels:

• model: Hjgugugjhuhjggg/mergekit-passthrough-jzygynw
• model: Hjgugugjhuhjggg/mergekit-passthrough-jzygynw
• model: Hjgugugjhuhjggg/mergekit-passthrough-jzygynw
• model: Hjgugugjhuhjggg/mergekit-passthrough-jzygynw
• model: Hjgugugjhuhjggg/mergekit-passthrough-jzygynw
• model: Hjgugugjhuhjggg/mergekit-passthrough-jzygynw
• model: Hjgugugjhuhjggg/mergekit-passthrough-jzygynw
• model: Hjgugugjhuhjggg/mergekit-passthrough-jzygynw
• model: Hjgugugjhuhjggg/mergekit-passthrough-jzygynw
• model: Hjgugugjhuhjggg/mergekit-passthrough-jzygynw
• model: Hjgugugjhuhjggg/mergekit-passthrough-jzygynw
• model: Hjgugugjhuhjggg/mergekit-passthrough-jzygynw
• model: Hjgugugjhuhjggg/mergekit-passthrough-jzygynw
• model: Hjgugugjhuhjggg/mergekit-passthrough-jzygynw merge_method: slerp base_model: Hjgugugjhuhjggg/mergekit-passthrough-jzygynw dtype: bfloat16 parameters: t: [0, 0.5, 1, 0.5, 0]

💻 Usage

    python
    !pip install -qU transformers accelerate
    from transformers import AutoTokenizer
    import transformers
    import torch
    model = "lilmeaty/lilmeaty/model-7v08feylu8"
    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"])