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Browse files- README.md +48 -0
- added_tokens.json +7 -0
- config.json +26 -0
- generation_config.json +6 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +298 -0
- runs/Jun06_19-48-11_r-fhnw-autotrain-apekyiuo-2643c-13ieu/events.out.tfevents.1717703371.r-fhnw-autotrain-apekyiuo-2643c-13ieu.80.0 +2 -2
- special_tokens_map.json +38 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +0 -0
- training_args.bin +3 -0
- training_params.json +47 -0
README.md
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---
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tags:
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- autotrain
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- text-generation-inference
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- text-generation
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- peft
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library_name: transformers
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base_model: fhnw/Mistral-7B-Instruct-gender-bias-sft
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widget:
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- messages:
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- role: user
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content: What is your favorite condiment?
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license: other
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datasets:
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- fhnw/gender-bias-preference
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---
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# Model Trained Using AutoTrain
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This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
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# Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_path = "PATH_TO_THIS_REPO"
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tokenizer = AutoTokenizer.from_pretrained(model_path)
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model = AutoModelForCausalLM.from_pretrained(
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model_path,
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device_map="auto",
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torch_dtype='auto'
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).eval()
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# Prompt content: "hi"
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messages = [
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{"role": "user", "content": "hi"}
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]
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input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
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output_ids = model.generate(input_ids.to('cuda'))
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response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)
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# Model response: "Hello! How can I assist you today?"
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print(response)
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```
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added_tokens.json
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{
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"<pad>": 32769,
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"<|im_end|>": 32768,
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"<|im_start|>assistant": 32771,
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"<|im_start|>system": 32772,
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"<|im_start|>user": 32770
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}
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config.json
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{
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"_name_or_path": "fhnw/Mistral-7B-Instruct-gender-bias-sft",
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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": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.41.0",
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"use_cache": true,
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"vocab_size": 32773
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.41.0"
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}
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model-00001-of-00003.safetensors
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size 4949494656
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model-00003-of-00003.safetensors
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model.safetensors.index.json
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