powermove72
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Browse files- README.md +57 -0
- config.json +37 -0
- mergekit_config.yml +12 -0
- model-00001-of-00015.safetensors +3 -0
- model-00001-of-00019.safetensors +3 -0
- model-00002-of-00015.safetensors +3 -0
- model-00002-of-00019.safetensors +3 -0
- model-00003-of-00015.safetensors +3 -0
- model-00003-of-00019.safetensors +3 -0
- model-00004-of-00015.safetensors +3 -0
- model-00004-of-00019.safetensors +3 -0
- model-00005-of-00015.safetensors +3 -0
- model-00005-of-00019.safetensors +3 -0
- model-00006-of-00015.safetensors +3 -0
- model-00006-of-00019.safetensors +3 -0
- model-00007-of-00015.safetensors +3 -0
- model-00007-of-00019.safetensors +3 -0
- model-00008-of-00015.safetensors +3 -0
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- model-00009-of-00015.safetensors +3 -0
- model-00009-of-00019.safetensors +3 -0
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- model-00019-of-00019.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +50 -0
README.md
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---
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base_model:
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- powermove72/Shark-1
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- eren23/OGNO-7b-dpo-truthful
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tags:
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- merge
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- mergekit
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- lazymergekit
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- powermove72/Shark-1
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- eren23/OGNO-7b-dpo-truthful
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---
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# SharkOgno2-9b-Passthrough
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SharkOgno2-9b-Passthrough is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [powermove72/Shark-1](https://huggingface.co/powermove72/Shark-1)
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* [eren23/OGNO-7b-dpo-truthful](https://huggingface.co/eren23/OGNO-7b-dpo-truthful)
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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: powermove72/Shark-1
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layer_range: [8, 16]
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- sources:
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- model: eren23/OGNO-7b-dpo-truthful
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layer_range: [0, 32]
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merge_method: passthrough
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tokenizer_source: union
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dtype: float16
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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 = "powermove72/SharkOgno2-9b-Passthrough"
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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": "powermove72/Shark-1",
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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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"auto_map": {
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"AutoModel": "GritLM/GritLM-7B--modeling_gritlm7b.MistralModel",
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"AutoModelForCausalLM": "GritLM/GritLM-7B--modeling_gritlm7b.MistralForCausalLM",
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"AutoModelForSequenceClassification": "GritLM/GritLM-7B--modeling_gritlm7b.MistralForSequenceClassification"
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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": 4096,
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"id2label": {
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"0": "LABEL_0"
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},
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"label2id": {
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"LABEL_0": 0
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},
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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": 40,
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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": "float16",
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"transformers_version": "4.41.2",
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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: powermove72/Shark-1
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layer_range: [8, 16]
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- sources:
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- model: eren23/OGNO-7b-dpo-truthful
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layer_range: [0, 32]
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merge_method: passthrough
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tokenizer_source: union
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dtype: float16
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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},
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"content": "<s>",
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"content": "<unk>",
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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}
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},
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"additional_special_tokens": [],
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"bos_token": "<s>",
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"chat_template": "{{ bos_token }}{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"stride": 0,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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