commit c403cebb05fcdd2f034cdccf2ebf2ddc12df739a Author: ModelHub XC Date: Thu Apr 16 14:56:04 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: CorticalStack/gemma-7b-ultrachat-sft Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..52373fe --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text 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b/.ipynb_checkpoints/README-checkpoint.md new file mode 100644 index 0000000..b08b8f5 --- /dev/null +++ b/.ipynb_checkpoints/README-checkpoint.md @@ -0,0 +1,28 @@ +--- +license: apache-2.0 +--- + +# gemma-7b-ultrachat-sft + +gemma-7b-ultrachat-sft is an SFT fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) using the [stingning/ultrachat](https://huggingface.co/datasets/stingning/ultrachat) dataset. + +## Fine-tuning configuration +### LoRA +- r: 8 +- LoRA alpha: 16 +- LoRA dropout: 0.1 + +### Training arguments +- Epochs: 1 +- Batch size: 4 +- Gradient accumulation steps: 6 +- Optimizer: paged_adamw_32bit +- Max steps: 100 +- Learning rate: 0.0002 +- Weight decay: 0.001 +- Learning rate scheduler type: constant +- Max seq length: 2048 + +Trained with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. + +[](https://github.com/unslothai/unsloth) \ No newline at end of file diff --git a/.ipynb_checkpoints/config-checkpoint.json b/.ipynb_checkpoints/config-checkpoint.json new file mode 100644 index 0000000..3956394 --- /dev/null +++ b/.ipynb_checkpoints/config-checkpoint.json @@ -0,0 +1,28 @@ +{ + "_name_or_path": "google/gemma-7b", + "architectures": [ + "GemmaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 2, + "eos_token_id": 1, + "head_dim": 256, + "hidden_act": "gelu", + "hidden_size": 3072, + "initializer_range": 0.02, + "intermediate_size": 24576, + "max_position_embeddings": 8192, + "model_type": "gemma", + "num_attention_heads": 16, + "num_hidden_layers": 28, + "num_key_value_heads": 16, + "pad_token_id": 0, + "rms_norm_eps": 1e-06, + "rope_scaling": null, + "rope_theta": 10000.0, + "torch_dtype": "float16", + "transformers_version": "4.38.0", + "use_cache": true, + "vocab_size": 256000 +} diff --git a/README.md b/README.md new file mode 100644 index 0000000..9fadb6a --- /dev/null +++ b/README.md @@ -0,0 +1,24 @@ +--- +license: apache-2.0 +--- + +# gemma-7b-ultrachat-sft + +gemma-7b-ultrachat-sft is an SFT fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) using the [stingning/ultrachat](https://huggingface.co/datasets/stingning/ultrachat) dataset. + +## Fine-tuning configuration +### LoRA +- LoRA r: 8 +- LoRA alpha: 16 +- LoRA dropout: 0.1 + +### Training arguments +- Epochs: 1 +- Batch size: 4 +- Gradient accumulation steps: 6 +- Optimizer: paged_adamw_32bit +- Max steps: 100 +- Learning rate: 0.0002 +- Weight decay: 0.001 +- Learning rate scheduler type: constant +- Max seq length: 2048 \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..3956394 --- /dev/null +++ b/config.json @@ -0,0 +1,28 @@ +{ + "_name_or_path": "google/gemma-7b", + "architectures": [ + "GemmaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 2, + "eos_token_id": 1, + "head_dim": 256, + "hidden_act": "gelu", + "hidden_size": 3072, + 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