commit 0040343378146fc9154b9949b5bb53d043c3c517 Author: ModelHub XC Date: Sun Jul 5 09:44:16 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: GenVRadmin/AryaBhatta-GemmaOrca-Merged 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..1829c73 --- /dev/null +++ b/README.md @@ -0,0 +1,81 @@ +--- +license: mit + +--- + + +This model is a part of two model series, AryaBhatta-1 and AryaBhatta-2 and is finetuned from HuggingFaceH4/zephyr-7b-gemma-v0.1 or Google/gemma and is finetuned on 9 Indian languages (Hindi, Tamil, Punjabi, Bengali, Gujarati, Oriya, Telugu, Kannada, Malayalam) plus English. + +There are two models. One finetuned on Google's Gemma and one fine-tuned on Zephyr's Gemma base. Repo for other one (Zephyr one): GenVRadmin/AryaBhatta-GemmaOrca-2-Merged + +To improve the resoning and maths skills, we first SFT tune the gemma on Microsoft's Orca datasets. + +We utilize Orca maths Hindi dataset: GenVRadmin/Aryabhatta-Orca-Maths-Hindi \ +And original Orca maths dataset: microsoft/orca-math-word-problems-200k + +This pushes the MATHS score from 24.3 in Gemma-7B to 25.5 in Zephyr-Gemma and 31.6 in GemmaOrca. + +The model is then finetuned on GenVR's Samvaad datasets (GenVRadmin/Samvaad-Indic-Positive and GenVRadmin/Samvaad-Tamil-Mixtral and a subset of GenVRadmin/Samvaad-Mixed-Language-3). + +This is then finetuned on various open sourced datasets like: + +Telugu-LLM-Labs/yahma_alpaca_cleaned_telugu_filtered_and_romanized \ +Telugu-LLM-Labs/teknium_GPTeacher_general_instruct_telugu_filtered_and_romanized \ +abhinand/tamil-alpaca \ +Tensoic/airoboros-3.2_kn \ +Tensoic/gpt-teacher_kn \ +Tensoic/Alpaca-Gujarati \ +HydraIndicLM/bengali_alpaca_dolly_67k \ +Open-Orca/OpenOrca \ +pankajmathur/alpaca_orca \ +OdiaGenAI/Odia_Alpaca_instructions_52k \ +OdiaGenAI/gpt-teacher-roleplay-odia-3k \ +GenVRadmin/Samvaad-Punjabi-Mini \ +pankajmathur/WizardLM_Orca + +The model achieves following scores on benchmarks: + +Model AGIEval GPT4All TruthfulQA BigBench Average ⬇️ \ +AryaBhatta-GemmaOrca 35.9 72.26 53.85 40.35 50.59 \ +zephyr-7b-beta 37.52 71.77 55.26 39.77 51.08 \ +zephyr-7b-gemma-v0.1 34.22 66.37 52.19 37.10 47.47 \ +mlabonne/Gemmalpaca-7B 21.6 40.87 44.85 30.49 34.45 \ +google/gemma-7b-it 21.33 40.84 41.70 30.25 33.53 + + + + + +How to use:- +``` +from peft import AutoPeftModelForCausalLM +from transformers import AutoTokenizer + +model = AutoPeftModelForCausalLM.from_pretrained( + "GenVRadmin/AryaBhatta-GemmaOrca", + load_in_4bit = False, + token = hf_token +) +tokenizer = AutoTokenizer.from_pretrained("GenVRadmin/AryaBhatta-GemmaOrca") + +input_prompt = """ +### Instruction: +{} + +### Input: +{} + +### Response: +{}""" + +input_text = input_prompt.format( + "Answer this question about India.", # instruction + "Who is the Prime Minister of India", # input + "", # output - leave this blank for generation! + ) + +inputs = tokenizer([input_text], return_tensors = "pt").to("cuda") + +outputs = model.generate(**inputs, max_new_tokens = 300, use_cache = True) +response = tokenizer.batch_decode(outputs)[0] +``` \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..daa7c5a --- /dev/null +++ b/config.json @@ -0,0 +1,29 @@ +{ + "_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_activation": null, + "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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