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--- |
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tags: |
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- merge |
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- mergekit |
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- lazymergekit |
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--- |
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# Aria-coder-7b |
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Aria-coder-7b is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): |
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## 🧩 Configuration |
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```yaml |
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name: Aria-coder-7b |
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merge_method: sce |
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parameters: |
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select_topk: 0.666 |
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normalize: true |
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dtype: float32 |
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out_dtype: bfloat16 |
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base_model: Jebadiah/Aria-ruby-v3 |
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tokenizer: |
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source: union |
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special_tokens: keep_all |
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priority: none |
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add_padding_token: true |
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force_fast_tokenizer: true # Can help with compatibility |
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resolve_conflicts: append_ids # Append IDs to conflicting tokens to make them unique |
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models: |
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- model: xingyaoww/CodeActAgent-Mistral-7b-v0.1 |
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- model: Badgids/Gonzo-Code-7B |
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- model: Jebadiah/Aria-ruby-v3 |
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- model: flammenai/flammen31-mistral-7B |
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- model: fhai50032/SamChat |
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``` |
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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 = "Jebadiah/Aria-coder-7b" |
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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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``` |
