commit 90072fc2536899b09af6bfcb35063ebe5f00c24e Author: ModelHub XC Date: Tue Jul 14 18:31:13 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: MAISAAI/gemma-2b-coder 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 +*.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 +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl 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 +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* 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 +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip 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 diff --git a/README.md b/README.md new file mode 100644 index 0000000..2ac9e51 --- /dev/null +++ b/README.md @@ -0,0 +1,154 @@ +--- +tags: +- generated_from_trainer +- code +- coding +- gemma +model-index: +- name: gemma-2b-coder + results: [] +license_name: gemma-terms-of-use +license_link: https://ai.google.dev/gemma/terms +language: +- code +thumbnail: https://huggingface.co/mrm8488/gemma-2b-coder/resolve/main/logo.png +datasets: +- HuggingFaceH4/CodeAlpaca_20K +pipeline_tag: text-generation +--- + +
+ gemma coder logo +
+ + +# Gemma Coder 👩‍💻 +**Gemma 2B** fine-tuned on the **CodeAlpaca 20k instructions dataset** by using the method **QLoRA** with [PEFT](https://github.com/huggingface/peft) library. + +## Model description 🧠 + +[Gemma-2b](https://huggingface.co/google/gemma-2b) + +Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. They are text-to-text, decoder-only large language models, available in English, with open weights, pre-trained variants, and instruction-tuned variants. Gemma models are well-suited for a variety of text generation tasks, including question answering, summarization, and reasoning. Their relatively small size makes it possible to deploy them in environments with limited resources such as a laptop, desktop or your own cloud infrastructure, democratizing access to state of the art AI models and helping foster innovation for everyone. + + +## Training and evaluation data 📚 + +[CodeAlpaca_20K](https://huggingface.co/datasets/HuggingFaceH4/CodeAlpaca_20K): contains 20K instruction-following data used for fine-tuning the Code Alpaca model. + + +### Training hyperparameters ⚙ + +Training took 1h 40 min on Free Colab T4 GPU (16GB VRAM) with the following params: + +```py +num_train_epochs=2, +per_device_train_batch_size=2, +per_device_eval_batch_size=1, +gradient_accumulation_steps=32 +learning_rate=2.5e-5, +optim="paged_adamw_8bit", +logging_steps=5, +seed=66, +load_best_model_at_end=True, +save_strategy="steps", +save_steps=50, +evaluation_strategy="steps", +eval_steps=50, +save_total_limit=2, +remove_unused_columns=True, +fp16=True, +bf16=False +``` + +### Training results 🗒️ + +| Step | Training Loss | Validation Loss | +|------|---------------|-----------------| +| 50 | 1.467800 | 1.450770 | +| 100 | 1.060000 | 1.064840 | +| 150 | 0.900200 | 0.922290 | +| 200 | 0.848400 | 0.879911 | +| 250 | 0.838100 | 0.867354 | + + + +### Eval results 📊 + +WIP + + +### Example of usage 👩‍💻 + +I recommend install the following version of `torch`: + +```sh +pip install "torch>=2.1.1" -U +``` + +```py +import torch +from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig + +model_id = "MAISAAI/gemma-2b-coder" + +tokenizer = AutoTokenizer.from_pretrained(model_id) + +model = AutoModelForCausalLM.from_pretrained(model_id).to("cuda") + +def generate( + instruction, + max_new_tokens=256, + temperature=0.1, + top_p=0.75, + top_k=40, + num_beams=2, + **kwargs, +): + system = f"<|system|>\nYou are a helpful coding assistant.\n" + prompt = f"{system}<|user|>\n{instruction}\n<|assistant|>\n" + inputs = tokenizer(prompt, return_tensors="pt") + input_ids = inputs["input_ids"].to("cuda") + attention_mask = inputs["attention_mask"].to("cuda") + generation_config = GenerationConfig( + temperature=temperature, + top_p=top_p, + top_k=top_k, + num_beams=num_beams, + **kwargs, + ) + with torch.no_grad(): + generation_output = model.generate( + input_ids=input_ids, + attention_mask=attention_mask, + generation_config=generation_config, + return_dict_in_generate=True, + max_new_tokens=max_new_tokens, + early_stopping=True + ) + s = generation_output.sequences[0] + output = tokenizer.decode(s, skip_special_tokens=True) + return output.split("<|assistant|>")[1] + +instruction = """ +Edit the following XML code to add a navigation bar to the top of a web page + + + Maisa + +""" +print(generate(instruction)) +``` + +### Citation + +```bibtex +@misc {maisa_ai_2024, + author = { {MAISA AI} }, + title = { gemma-2b-coder (Revision e5e4e5b) }, + year = 2024, + url = { https://huggingface.co/MAISAAI/gemma-2b-coder }, + doi = { 10.57967/hf/2208 }, + publisher = { Hugging Face } +} +``` \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..8c7d41e --- /dev/null +++ b/config.json @@ -0,0 +1,28 @@ +{ + "_name_or_path": "google/gemma-2b", + "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": 2048, + "initializer_range": 0.02, + "intermediate_size": 16384, + "max_position_embeddings": 8192, + "model_type": "gemma", + "num_attention_heads": 8, + "num_hidden_layers": 18, + "num_key_value_heads": 1, + "pad_token_id": 0, + "rms_norm_eps": 1e-06, + "rope_scaling": null, + "rope_theta": 10000.0, + "torch_dtype": "bfloat16", + "transformers_version": "4.38.0", + "use_cache": true, + "vocab_size": 256000 +} diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..d1d5911 --- /dev/null +++ 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