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--- |
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license: apache-2.0 |
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tags: |
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- Safetensors |
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- text-generation-inference |
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- merge |
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model_name: T3qm7xNeuralsirkrishna_Experiment24Alloyingotneoy |
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base_model: |
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- automerger/T3qm7xNeuralsirkrishna-7B |
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- automerger/Experiment24Alloyingotneoy-7B |
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inference: false |
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model_creator: MaziyarPanahi |
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pipeline_tag: text-generation |
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quantized_by: MaziyarPanahi |
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--- |
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# T3qm7xNeuralsirkrishna_Experiment24Alloyingotneoy |
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T3qm7xNeuralsirkrishna_Experiment24Alloyingotneoy is a merge of the following models: |
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* [automerger/T3qm7xNeuralsirkrishna-7B](https://huggingface.co/automerger/T3qm7xNeuralsirkrishna-7B) |
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* [automerger/Experiment24Alloyingotneoy-7B](https://huggingface.co/automerger/Experiment24Alloyingotneoy-7B) |
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## 💻 Usage |
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```python |
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!pip install -qU transformers accelerate |
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from transformers import AutoTokenizer |
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import transformers |
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import torch |
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model = "MaziyarPanahi/T3qm7xNeuralsirkrishna_Experiment24Alloyingotneoy" |
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messages = [{"role": "user", "content": "What is a large language model?"}] |
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tokenizer = AutoTokenizer.from_pretrained(model) |
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
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pipeline = transformers.pipeline( |
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"text-generation", |
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model=model, |
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torch_dtype=torch.float16, |
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device_map="auto", |
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) |
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) |
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print(outputs[0]["generated_text"]) |
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``` |
