MaziyarPanahi
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- README.md +48 -0
- config.json +27 -0
- mergekit_config.yml +18 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +44 -0
README.md
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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: Experiment26Neuralsirkrishna_Experiment28Multi_verse_model
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base_model:
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- automerger/Experiment26Neuralsirkrishna-7B
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- automerger/Experiment28Multi_verse_model-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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# Experiment26Neuralsirkrishna_Experiment28Multi_verse_model
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Experiment26Neuralsirkrishna_Experiment28Multi_verse_model is a merge of the following models:
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* [automerger/Experiment26Neuralsirkrishna-7B](https://huggingface.co/automerger/Experiment26Neuralsirkrishna-7B)
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* [automerger/Experiment28Multi_verse_model-7B](https://huggingface.co/automerger/Experiment28Multi_verse_model-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/Experiment26Neuralsirkrishna_Experiment28Multi_verse_model"
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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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```
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config.json
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{
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"_name_or_path": "automerger/T3qm7xNeuralsirkrishna-7B",
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"add_gates": false,
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.37.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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mergekit_config.yml
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slices:
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- sources:
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- model: 'automerger/T3qm7xNeuralsirkrishna-7B'
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layer_range: [0, 32]
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- model: 'automerger/Strangemerges_32Experiment28-7B'
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layer_range: [0, 32]
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merge_method: slerp
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base_model: 'automerger/T3qm7xNeuralsirkrishna-7B'
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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random_seed: 0
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model-00001-of-00002.safetensors
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oid sha256:588e7eec885de1642042a3feb9d62cfceb2518674035373b4f620e20f82b0f34
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size 9825524456
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model.safetensors.index.json
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special_tokens_map.json
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tokenizer.json
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tokenizer.model
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tokenizer_config.json
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