commit 6159b6ee64f303d90b0dc30aa40d587eaf1a5fda Author: ModelHub XC Date: Mon May 11 02:19:22 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: budecosystem/genz-13b-infinite Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..73016ad --- /dev/null +++ b/.gitattributes @@ -0,0 +1,52 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow 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 + +*.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 + +pytorch_model-00001-of-00003.bin filter=lfs diff=lfs merge=lfs -text +tokenizer.model filter=lfs diff=lfs merge=lfs -text +pytorch_model-00003-of-00003.bin filter=lfs diff=lfs merge=lfs -text +pytorch_model-00002-of-00003.bin 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..b870305 --- /dev/null +++ b/README.md @@ -0,0 +1,67 @@ +--- +license: llama2 +--- + +## Introducing GenZ Infinite + +The model is a finetuned version of Genz-13B-v2 with a context size of 16K. The model architecture is updated to have lamda attention from the LM-Infinite paper which gives the model capability of 120K+ sequence length without affecting the preplexity + +## Generate responses + +Use the generate.py file from the [github repo](https://github.com/BudEcosystem/genz-infinite) + +``` +python generate.py --base_model budecosystem/genz-13b-infinite + +``` + +You can integrate the model in your code my loading convert_llama_model function. + +```python +import torch +from transformers import GenerationConfig, AutoModelForCausalLM, AutoTokenizer +from model.llama import convert_llama_model + +local_branch = 2048 +global_branch = 10 +limit_distance = 2048 + +model = AutoModelForCausalLM.from_pretrained( + "budecosystem/genz-13b-infinite", + torch_dtype=torch.float16, + device_map="auto", +) +model = convert_llama_model(model, local_branch, global_branch) + +``` + +## Evaluation + + +| Task | 4096 | 5120 | 8192 | 16384 | +| :----:|:---------:| :--------:| :--------:| :--------:| +|Passkey retreival | 100 | 75 | 48 | 30 | + + +## Training details + +The model is trained of 4 A100 80GB for approximately 55hrs. + +| Hyperparameters | Value | +| :----------------------------| :-----: | +| per_device_train_batch_size | 1 | +| gradient_accumulation_steps | 1 | +| epoch | 3 | +| steps | 8550 | +| learning_rate | 2e-4 | +| lr schedular type | cosine | +| warmup steps | 1000 | +| optimizer | adamw | +| fp16 | True | +| GPU | 4 A100 80GB | + + +### Acknowledgments + +We'd like to thank the open-source community and the researchers whose foundational work laid the path to this model. Special shoutout to the authors of [LM-Infinite paper](https://arxiv.org/abs/2308.16137) and the [GitHub repo](https://github.com/Glaciohound/LM-Infinite) + diff --git a/config.json b/config.json new file mode 100644 index 0000000..2657750 --- /dev/null +++ b/config.json @@ -0,0 +1,26 @@ +{ + "_name_or_path": "budecosystem/genz-13b-infinite", + "architectures": [ + "LlamaForCausalLM" + ], + "bos_token_id": 1, + "eos_token_id": 2, + "hidden_act": "silu", + "hidden_size": 5120, + "initializer_range": 0.02, + "intermediate_size": 13824, + "max_position_embeddings": 4096, + "model_type": "llama", + "num_attention_heads": 40, + "num_hidden_layers": 40, + "num_key_value_heads": 40, + "pad_token_id": 0, + "pretraining_tp": 1, + "rms_norm_eps": 1e-05, + "rope_scaling": null, + "tie_word_embeddings": false, + "torch_dtype": "float16", + "transformers_version": "4.29.0.dev0", + "use_cache": true, + "vocab_size": 32000 +} diff --git a/configuration.json b/configuration.json new file mode 100644 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