52 lines
1.4 KiB
Markdown
52 lines
1.4 KiB
Markdown
---
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base_model:
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- wwe180/Llama3-10B-lingyang-v1
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library_name: transformers
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tags:
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- mergekit
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- merge
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license:
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- other
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---
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#The model is experimental, so the results cannot be guaranteed.
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After simple testing, the effect is good, stronger than llama-3-8b!
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# merge
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the passthrough merge method using [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct) as a base.
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### Models Merged
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The following models were included in the merge:
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* [Sao10K/L3-8B-Stheno-v3.1](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.1)
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* [openchat/openchat-3.6-8b-20240522](https://huggingface.co/openchat/openchat-3.6-8b-20240522) + [hfl/llama-3-chinese-8b-instruct-v2-lora](https://huggingface.co/hfl/llama-3-chinese-8b-instruct-v2-lora)
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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 = "Llama3-10B-lingyang-v1"
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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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