From ad5150a26c8879019772a0e2df7ffc1e1ced2cc8 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Sun, 18 Oct 2026 08:30:13 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: mlabonne/Gemmalpaca-7B Source: Original Platform --- .gitattributes | 49 ++++++ README.md | 117 ++++++++++++++ config.json | 28 ++++ configuration.json | 1 + generation_config.json | 7 + model-00001-of-00004.safetensors | 3 + model-00002-of-00004.safetensors | 3 + model-00003-of-00004.safetensors | 3 + model-00004-of-00004.safetensors | 3 + model.safetensors.index.json | 261 +++++++++++++++++++++++++++++++ special_tokens_map.json | 30 ++++ tokenizer.json | 3 + tokenizer.model | 3 + tokenizer_config.json | 49 ++++++ 14 files changed, 560 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 config.json create mode 100644 configuration.json create mode 100644 generation_config.json create mode 100644 model-00001-of-00004.safetensors create mode 100644 model-00002-of-00004.safetensors create mode 100644 model-00003-of-00004.safetensors create mode 100644 model-00004-of-00004.safetensors create mode 100644 model.safetensors.index.json create mode 100644 special_tokens_map.json create mode 100644 tokenizer.json create mode 100644 tokenizer.model create mode 100644 tokenizer_config.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..21b3632 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,49 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bin.* filter=lfs diff=lfs merge=lfs -text +*.bz2 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 +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zstandard filter=lfs diff=lfs merge=lfs -text +*.tfevents* filter=lfs diff=lfs merge=lfs -text +*.db* filter=lfs diff=lfs merge=lfs -text +*.ark* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.gguf* filter=lfs diff=lfs merge=lfs -text +*.ggml filter=lfs diff=lfs merge=lfs -text +*.llamafile* filter=lfs diff=lfs merge=lfs -text +*.pt2 filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text + +tokenizer.json filter=lfs diff=lfs merge=lfs -text \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..cdd7888 --- /dev/null +++ b/README.md @@ -0,0 +1,117 @@ +--- +library_name: transformers +extra_gated_heading: Access Gemma on Hugging Face +extra_gated_prompt: >- + To access Gemma on Hugging Face, youโ€™re required to review and agree to + Googleโ€™s usage license. To do this, please ensure youโ€™re logged-in to Hugging + Face and click below. Requests are processed immediately. +extra_gated_button_content: Acknowledge license +license: other +license_name: gemma-terms-of-use +license_link: https://ai.google.dev/gemma/terms +base_model: +- google/gemma-7b +datasets: +- vicgalle/alpaca-gpt4 +--- + +![image/webp](https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/uwPjZeV-JQwKWrI7nHg4w.webp) + +# Gemmalpaca-7B + +This is gemma-7b model supervised fine-tuned on the [vicgalle/alpaca-gpt4](https://huggingface.co/datasets/vicgalle/alpaca-gpt4) dataset. It outperforms gemma-7b-it, Google's chat version, on Nous' benchmark suite. + +It's mostly a test to see how fine-tuning works with Gemma models on a well-known dataset. + +## ๐Ÿ” Applications + +This model has a context length of 8k. I recommend using it with the Alpaca chat template and NOT the Gemma Instruct template (works perfectly with LM Studio). You also want to add `` as a stop token. + +## ๐Ÿ† Evaluation + +### Nous + +Gemmalpaca-7B outperforms gemma-7b and gemma-7b-it on Nous' benchmark suite (evaluation performed using [LLM AutoEval](https://github.com/mlabonne/llm-autoeval)). See the entire leaderboard [here](https://huggingface.co/spaces/mlabonne/Yet_Another_LLM_Leaderboard). + +| Model | Average | AGIEval | GPT4All | TruthfulQA | Bigbench | +|---|---:|---:|---:|---:|---:| +| [**mlabonne/Gemmalpaca-7B**](https://huggingface.co/mlabonne/Gemmalpaca-7B) [๐Ÿ“„](https://gist.github.com/mlabonne/61622c46e53914a16e11be89d078f66c) | **34.45** | **21.6** | **40.87** | **44.85** | **30.49** | +| [google/gemma-2b](https://huggingface.co/google/gemma-2b) [๐Ÿ“„](https://gist.github.com/mlabonne/7df1f238c515a5f63a750c8792cef59e) | 34.26 | 22.7 | 43.35 | 39.96 | 31.03 | +| [google/gemma-7b](https://huggingface.co/google/gemma-7b) [๐Ÿ“„](https://gist.github.com/mlabonne/5f9855d341c3b11f775348ecb4fd8cf1) | 33.56 | 20.64 | 38.49 | 46.61 | 28.51 | +| [google/gemma-7b-it](https://huggingface.co/google/gemma-7b-it) [๐Ÿ“„](https://gist.github.com/mlabonne/0fb752dc3c5b578fff87a73c56a16d7a) | 33.53 | 21.33 | 40.84 | 41.7 | 30.25 | + +## ๐Ÿงฉ Configuration + +It was trained using [Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) with the following configuration. + +```yaml +base_model: alpindale/gemma-7b +model_type: AutoModelForCausalLM +tokenizer_config: philschmid/gemma-tokenizer-chatml +tokenizer_type: AutoTokenizer +tokenizer_use_fast: true + +load_in_8bit: false +load_in_4bit: true +strict: false + +datasets: + - path: vicgalle/alpaca-gpt4 + type: alpaca + +dataset_prepared_path: +val_set_size: 0.01 +output_dir: ./out + +sequence_len: 2048 +sample_packing: true +pad_to_sequence_len: true + +adapter: qlora +lora_model_dir: +lora_r: 32 +lora_alpha: 64 +lora_dropout: 0.05 +lora_target_linear: true + +wandb_project: axolotl +wandb_entity: +wandb_watch: +wandb_name: +wandb_log_model: + +gradient_accumulation_steps: 2 +micro_batch_size: 4 +num_epochs: 3 +optimizer: adamw_bnb_8bit +lr_scheduler: cosine +learning_rate: 0.0002 + +train_on_inputs: false +group_by_length: false +bf16: auto +fp16: +tf32: false + +gradient_checkpointing: true +early_stopping_patience: +resume_from_checkpoint: +local_rank: +logging_steps: 1 +xformers_attention: +flash_attention: true + +warmup_steps: 10 +evals_per_epoch: 10 +eval_table_size: +eval_table_max_new_tokens: 128 +saves_per_epoch: 1 +debug: +deepspeed: +weight_decay: 0.1 +fsdp: +fsdp_config: +special_tokens: +``` + +[Built with Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..67f3094 --- /dev/null +++ b/config.json @@ -0,0 +1,28 @@ +{ + "_name_or_path": "alpindale/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, + 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