初始化项目，由ModelHub XC社区提供模型

Model: mlabonne/Gemmalpaca-7B
Source: Original Platform

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, you’re required to review and agree to
+  Google’s usage license. To do this, please ensure you’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.
+
+## 🔍 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 `</s>` as a stop token.
+
+## 🏆 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) [📄](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) [📄](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) [📄](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) [📄](https://gist.github.com/mlabonne/0fb752dc3c5b578fff87a73c56a16d7a) | 33.53 | 21.33 | 40.84 | 41.7 | 30.25 |
+
+## 🧩 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:
+```
+
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)