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Browse files- README.md +63 -0
- added_tokens.json +3 -0
- config.json +38 -0
- mergekit_config.yml +17 -0
- model-00001-of-00014.safetensors +3 -0
- model-00002-of-00014.safetensors +3 -0
- model-00003-of-00014.safetensors +3 -0
- model-00004-of-00014.safetensors +3 -0
- model-00005-of-00014.safetensors +3 -0
- model-00006-of-00014.safetensors +3 -0
- model-00007-of-00014.safetensors +3 -0
- model-00008-of-00014.safetensors +3 -0
- model-00009-of-00014.safetensors +3 -0
- model-00010-of-00014.safetensors +3 -0
- model-00011-of-00014.safetensors +3 -0
- model-00012-of-00014.safetensors +3 -0
- model-00013-of-00014.safetensors +3 -0
- model-00014-of-00014.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 +51 -0
README.md
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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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- KoboldAI/LLaMA2-13B-Tiefighter
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- ddh0/OrcaMaid-v3-13b-32k
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base_model:
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- KoboldAI/LLaMA2-13B-Tiefighter
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- ddh0/OrcaMaid-v3-13b-32k
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---
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# D_AU-Tiefighter-OrcaMaid-V3-13B-32k-slerp
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D_AU-Tiefighter-OrcaMaid-V3-13B-32k-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [KoboldAI/LLaMA2-13B-Tiefighter](https://huggingface.co/KoboldAI/LLaMA2-13B-Tiefighter)
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* [ddh0/OrcaMaid-v3-13b-32k](https://huggingface.co/ddh0/OrcaMaid-v3-13b-32k)
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## 🧩 Configuration
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```yaml
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slices:
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- sources:
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- model: KoboldAI/LLaMA2-13B-Tiefighter
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layer_range: [0, 40]
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- model: ddh0/OrcaMaid-v3-13b-32k
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layer_range: [0, 40]
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merge_method: slerp
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base_model: ddh0/OrcaMaid-v3-13b-32k
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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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```
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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 = "DavidAU/D_AU-Tiefighter-OrcaMaid-V3-13B-32k-slerp"
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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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added_tokens.json
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{
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"[PAD]": 32000
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}
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config.json
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{
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"_name_or_path": "ddh0/OrcaMaid-v3-13b-32k",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"auto_map": {
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"AutoConfig": "ddh0/OrcaMaid-v3-13b-32k--configuration_llama.LlamaConfig",
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"AutoModelForCausalLM": "ddh0/OrcaMaid-v3-13b-32k--modeling_llama_yarn.LlamaForCausalLM"
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},
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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": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 13824,
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"max_position_embeddings": 32768,
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"model_type": "llama",
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"num_attention_heads": 40,
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"num_hidden_layers": 40,
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"num_key_value_heads": 40,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 8.0,
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"finetuned": false,
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"original_max_position_embeddings": 4096,
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"type": "yarn"
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},
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.40.1",
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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: KoboldAI/LLaMA2-13B-Tiefighter
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layer_range: [0, 40]
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- model: ddh0/OrcaMaid-v3-13b-32k
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layer_range: [0, 40]
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merge_method: slerp
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base_model: ddh0/OrcaMaid-v3-13b-32k
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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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special_tokens_map.json
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tokenizer.json
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tokenizer.model
ADDED
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tokenizer_config.json
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