From a552ca6c4756158f7047d69c86b69b6a032b07cf Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Sat, 2 May 2026 05:32:04 +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: sartifyllc/Pawa-Gemma-Swahili-2B Source: Original Platform --- .gitattributes | 36 + README.md | 132 ++ config.json | 38 + generation_config.json | 12 + model-00001-of-00002.safetensors | 3 + model-00002-of-00002.safetensors | 3 + model.safetensors.index.json | 295 +++++ special_tokens_map.json | 30 + tokenizer.json | 3 + tokenizer_config.json | 2007 ++++++++++++++++++++++++++++++ 10 files changed, 2559 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 config.json create mode 100644 generation_config.json create mode 100644 model-00001-of-00002.safetensors create mode 100644 model-00002-of-00002.safetensors create mode 100644 model.safetensors.index.json create mode 100644 special_tokens_map.json create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json 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..f31439a --- /dev/null +++ b/README.md @@ -0,0 +1,132 @@ +--- +language: +- sw +- en +license: apache-2.0 +base_model: +- google/gemma-2-2b +library_name: transformers +--- + +# PAWA: Swahili SML for Various Tasks + +--- + +## Overview + +**PAWA** is a Swahili-specialized language model designed to excel in tasks requiring nuanced understanding and interaction in Swahili and English. It leverages supervised fine-tuning (SFT) and Direct Preference Optimization (DPO) for improved performance and consistency. Below are the detailed model specifications, installation steps, usage examples, and its intended applications. + +--- +### Model Details + +- **Model Name**: Pawa-Gemma-Swahili-2B +- **Model Type**: PAWA +- **Architecture**: + - 2B Parameter Gemma-2 Base Model + - Enhanced with Swahili SFT and DPO datasets. +- **Languages Supported**: + - Swahili + - English + - Custom tokenizer for multi-language flexibility. +- **Primary Use Cases**: + - Contextually rich Swahili-focused tasks. + - General assistance and chat-based interactions. +- **License**: Custom/Contact Author for terms of use. + +--- +### Installation and Setup +Ensure the necessary libraries are installed and up-to-date: + +```bash +!pip uninstall transformers -y && pip install --upgrade --no-cache-dir "git+https://github.com/huggingface/transformers.git" +!pip uninstall unsloth -y && pip install --upgrade --no-cache-dir "unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git" +!pip install datasets +``` +--- +### Model Loading +You can load the model using the following code snippet: + +```python +from unsloth import FastLanguageModel +import torch + +model_name = "sartifyllc/Pawa-kaggle-gemma-2b" +max_seq_length = 2048 +dtype = None +load_in_4bit = False + +model, tokenizer = FastLanguageModel.from_pretrained( + model_name=model_name, + max_seq_length=max_seq_length, + dtype=dtype, + load_in_4bit=load_in_4bit, +) +``` + +--- +### Chat Template Configuration +For a seamless conversational experience, configure the tokenizer with the appropriate chat template: +```python +from unsloth.chat_templates import get_chat_template +FastLanguageModel.for_inference(model) # Enable native 2x faster inference + +tokenizer = get_chat_template( + tokenizer, + chat_template="chatml", # Supports templates like zephyr, chatml, mistral, etc. + mapping={"role": "from", "content": "value", "user": "human", "assistant": "gpt"}, # ShareGPT style + map_eos_token=True, # Maps <|im_end|> to +) +``` +--- +### Usage Example +Generate a short story in Swahili: + +```python +messages = [{"from": "human", "value": "Tengeneza hadithi fupi"}] +inputs = tokenizer.apply_chat_template( + messages, + tokenize=True, + add_generation_prompt=True, + return_tensors="pt", +).to("cuda") + +from transformers import TextStreamer +text_streamer = TextStreamer(tokenizer) +_ = model.generate(input_ids=inputs, streamer=text_streamer, max_new_tokens=128, use_cache=True) +``` +--- +### Training and Fine-Tuning Details + +- **Base Model**: Gemma-2-2B +- **Continue Pre-Training**: 3B Swahili Tokens +- **Fine-tuning**: Enhanced with Swahili SFT datasets for improved contextual understanding. +- **Optimization**: Includes DPO for deterministic and consistent responses. + +--- + +### Intended Use Cases + +- **General Assistance**: + Provides structured answers for general-purpose use. + +- **Interactive Q&A**: + Designed for general-purpose chat environments. + +- **RAG (Retrieval-Augmented Generation)**: + Works best for RAG and specific use cases. + +--- +### Limitations + +- **Biases**: + The model may exhibit biases inherent in its fine-tuning datasets. + +- **Generalization**: + May struggle with tasks outside the trained domain. + +- **Hardware Requirements**: + - Optimal performance requires GPUs with high memory (e.g., Tesla V100 or T4). + - Supports 4-bit quantization for reduced memory usage. + + +Feel free to reach out for further guidance or collaboration opportunities regarding PAWA! \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..8995546 --- /dev/null +++ b/config.json @@ -0,0 +1,38 @@ +{ + "_name_or_path": "/home/ai4d/Desktop/Mollel/base_env/model_output/DPO_27_December_2024_11_09_PM", + "architectures": [ + "Gemma2ForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "attn_logit_softcapping": 50.0, + "bos_token_id": 2, + "cache_implementation": "hybrid", + "eos_token_id": [ + 1, + 107 + ], + 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