vanillaOVO
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Browse files- README.md +31 -0
- config.json +28 -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 +35 -0
- tokenizer.json +0 -0
- tokenizer_config.json +47 -0
README.md
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---
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license: apache-2.0
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---
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---
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base_model: []
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tags:
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- mergekit
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- merge
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license: apache-2.0
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---
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This is a merge of pre-trained language models created based on DARE using [mergekit](https://github.com/cg123/mergekit).
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More descriptions of the model will be added soon.
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### **Loading the Model**
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Use the following Python code to load the model:
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```python
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import torch
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from transformers import MistralForCausalLM, AutoTokenizer
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model = MistralForCausalLM.from_pretrained("vanillaOVO/supermario_v2", device_map="auto")
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tokenizer = AutoTokenizer.from_pretrained("vanillaOVO/supermario_v2")
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```
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### **Generating Text**
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To generate text, use the following Python code:
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```python
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text = "Large language models are "
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inputs = tokenizer(text, return_tensors="pt")
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outputs = model.generate(**inputs, max_new_tokens=256)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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config.json
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{
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"_name_or_path": "vanillaOVO/supermario_v2",
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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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"pad_token_id": 2,
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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": "4.36.2",
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"unsloth_version": "2024.1",
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"use_cache": true,
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"vocab_size": 32000
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}
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model-00001-of-00002.safetensors
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special_tokens_map.json
ADDED
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{
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"additional_special_tokens": [
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"<unk>",
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"<s>",
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tokenizer.json
ADDED
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tokenizer_config.json
ADDED
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