Model save
Browse files- README.md +6 -6
- last_checkpoint/config.json +9 -9
- last_checkpoint/model-00001-of-00004.safetensors +3 -0
- last_checkpoint/model-00002-of-00004.safetensors +3 -0
- last_checkpoint/model-00003-of-00004.safetensors +3 -0
- last_checkpoint/model-00004-of-00004.safetensors +3 -0
- last_checkpoint/model.safetensors.index.json +328 -508
- last_checkpoint/tokenizer.json +2 -2
- last_checkpoint/tokenizer_config.json +0 -0
- last_checkpoint/training_args.bin +2 -2
README.md
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---
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base_model:
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library_name: transformers
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model_name: self-
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tags:
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- generated_from_trainer
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- trl
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licence: license
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---
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# Model Card for self-
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This model is a fine-tuned version of [
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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from transformers import pipeline
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question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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generator = pipeline("text-generation", model="RyanYr/self-
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/yyr/huggingface/runs/
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This model was trained with DPO, a method introduced in [Direct Preference Optimization: Your Language Model is Secretly a Reward Model](https://huggingface.co/papers/2305.18290).
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---
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base_model: mistralai/Ministral-8B-Instruct-2410
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library_name: transformers
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model_name: self-correct_mistral8Bit_mMQA_dpo_iter1
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tags:
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- generated_from_trainer
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- trl
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licence: license
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---
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# Model Card for self-correct_mistral8Bit_mMQA_dpo_iter1
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This model is a fine-tuned version of [mistralai/Ministral-8B-Instruct-2410](https://huggingface.co/mistralai/Ministral-8B-Instruct-2410).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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from transformers import pipeline
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question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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generator = pipeline("text-generation", model="RyanYr/self-correct_mistral8Bit_mMQA_dpo_iter1", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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+
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/yyr/huggingface/runs/x51nmtm1)
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This model was trained with DPO, a method introduced in [Direct Preference Optimization: Your Language Model is Secretly a Reward Model](https://huggingface.co/papers/2305.18290).
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last_checkpoint/config.json
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{
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"_name_or_path": "
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"architectures": [
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"MistralForCausalLM"
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],
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"eos_token_id": 2,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size":
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"initializer_range": 0.02,
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"intermediate_size":
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"rms_norm_eps": 1e-05,
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"rope_theta":
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"sliding_window":
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.45.2",
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"use_cache": false,
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"vocab_size":
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}
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{
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"_name_or_path": "mistralai/Ministral-8B-Instruct-2410",
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"architectures": [
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"MistralForCausalLM"
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],
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"eos_token_id": 2,
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"head_dim": 128,
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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": 12288,
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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": 36,
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"num_key_value_heads": 8,
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"pad_token_id": 131072,
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"rms_norm_eps": 1e-05,
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"rope_theta": 100000000.0,
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"sliding_window": 32768,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.45.2",
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"use_cache": false,
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"vocab_size": 131073
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}
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last_checkpoint/model-00001-of-00004.safetensors
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