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README.md ADDED
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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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+ - WizardLM/WizardCoder-33B-V1.1
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+ - codefuse-ai/CodeFuse-DeepSeek-33B
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+ - deepseek-ai/deepseek-coder-33b-instruct
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+
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+ base_model:
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+ - deepseek-ai/deepseek-coder-33b-instruct
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+
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+ license: apache-2.0
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+ ---
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+
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+ # ValidateAI
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+
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+ ValidateAI is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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+ * [deepseek-ai/deepseek-coder-33b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-33b-instruct)
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+ * [WizardLM/WizardCoder-33B-V1.1](https://huggingface.co/WizardLM/WizardCoder-33B-V1.1)
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+ * [codefuse-ai/CodeFuse-DeepSeek-33B](https://huggingface.co/codefuse-ai/CodeFuse-DeepSeek-33B)
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+ *
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+
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+ ## 🧩 Configuration
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+
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+ ```yaml
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+ models:
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+ - model: codefuse-ai_CodeFuse-DeepSeek-33B
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+ parameters:
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+ weight: 1
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+ - model: deepseek-ai_deepseek-coder-33b-instruct
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+ parameters:
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+ weight: 1
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+ - model: WizardLM_WizardCoder-33B-V1.1
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+ parameters:
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+ weight: 1
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+ merge_method: task_arithmetic
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+ base_model: deepseek-ai_deepseek-coder-33b-base
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ dtype: float16
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+ ```
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+
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+ ## 💻 Usage
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+
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+ ```python
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+ !pip install -qU transformers accelerate
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+
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+ from transformers import AutoTokenizer
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+ import transformers
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+ import torch
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+
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+ model = "arvind22/ValidateAI"
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+ messages = [{"role": "user", "content": "What is a large language model?"}]
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+
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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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+
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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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+ ```
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+ }
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+ "content": "<|end▁of▁sentence|>",
26
+ "lstrip": false,
27
+ "normalized": true,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ },
31
+ "sp_model_kwargs": {},
32
+ "unk_token": null,
33
+ "tokenizer_class": "LlamaTokenizerFast"
34
+ }