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.gitattributes CHANGED
@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ an4-7bv3.IQ4_NL.gguf filter=lfs diff=lfs merge=lfs -text
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+ an4-7bv3.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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+ an4-7bv3.fp16.gguf filter=lfs diff=lfs merge=lfs -text
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+ an4-7bv3.fp16.gguf.Imatrix.dat filter=lfs diff=lfs merge=lfs -text
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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+ - Nitral-AI/Kunocchini-7b-128k-test
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+ - Smuggling1710/An4-7Bv2
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+ - Endevor/InfinityRP-v1-7B
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+ - not-for-all-audiences
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+ base_model:
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+ - Nitral-AI/Kunocchini-7b-128k-test
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+ - Smuggling1710/An4-7Bv2
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+ - Endevor/InfinityRP-v1-7B
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+ ---
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/63b79573ca2f378e71027268/XMKBzLcJDU7904m1AXyio.png)
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+
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+ # An4-7Bv3
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+
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+ An4-7Bv3 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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+ * [Nitral-AI/Kunocchini-7b-128k-test](https://huggingface.co/Nitral-AI/Kunocchini-7b-128k-test)
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+ * [Smuggling1710/An4-7Bv2](https://huggingface.co/Smuggling1710/An4-7Bv2)
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+ * [Endevor/InfinityRP-v1-7B](https://huggingface.co/Endevor/InfinityRP-v1-7B)
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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: Smuggling1710/An4-7Bv2
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+ # No parameters necessary for base model
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+ - model: Nitral-AI/Kunocchini-7b-128k-test
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+ parameters:
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+ density: 0.53
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+ weight: 0.4
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+ - model: Smuggling1710/An4-7Bv2
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+ parameters:
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+ density: 0.53
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+ weight: 0.3
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+ - model: Endevor/InfinityRP-v1-7B
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+ parameters:
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+ density: 0.53
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+ weight: 0.3
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+ merge_method: dare_ties
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+ base_model: Smuggling1710/An4-7Bv2
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+ parameters:
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+ int8_mask: true
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+ dtype: bfloat16
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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 = "Smuggling1710/An4-7Bv3"
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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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