From ed560e4327bfa356fe373e5845f2708fb79d0e64 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Wed, 22 Apr 2026 05:27:06 +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: CodeGPTPlus/deepseek-coder-1.3b-typescript Source: Original Platform --- .gitattributes | 35 + LICENSE | 91 + README.md | 232 + codegpt-deepseek-typescript.png | Bin 0 -> 160792 bytes config.json | 31 + generation_config.json | 6 + model.safetensors | 3 + ollama_autocomplete_codegpt.gif | Bin 0 -> 652940 bytes pytorch_model.bin | 3 + special_tokens_map.json | 23 + tokenizer.json | 64086 ++++++++++++++++++++++++++++++ tokenizer_config.json | 192 + training_args.bin | 3 + 13 files changed, 64705 insertions(+) create mode 100644 .gitattributes create mode 100644 LICENSE create mode 100644 README.md create mode 100644 codegpt-deepseek-typescript.png create mode 100644 config.json create mode 100644 generation_config.json create mode 100644 model.safetensors create mode 100644 ollama_autocomplete_codegpt.gif create mode 100644 pytorch_model.bin create mode 100644 special_tokens_map.json create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json create mode 100644 training_args.bin diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..a6344aa --- /dev/null +++ b/.gitattributes @@ -0,0 +1,35 @@ +*.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 diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..9489e95 --- /dev/null +++ b/LICENSE @@ -0,0 +1,91 @@ +DEEPSEEK LICENSE AGREEMENT + +Version 1.0, 23 October 2023 + +Copyright (c) 2023 DeepSeek + +Section I: PREAMBLE + +Large generative models are being widely adopted and used, and have the potential to transform the way individuals conceive and benefit from AI or ML technologies. + +Notwithstanding the current and potential benefits that these artifacts can bring to society at large, there are also concerns about potential misuses of them, either due to their technical limitations or ethical considerations. + +In short, this license strives for both the open and responsible downstream use of the accompanying model. 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+CodeGPT: DeepSeek Coder - Typescript +

+

[CodeGPT.co] | [🦙 Ollama] | [Discord] | [VSCode Extension]

+
+ +[Built with Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) +
See axolotl config + +axolotl version: `0.3.0` +```yaml +base_model: deepseek-ai/deepseek-coder-1.3b-base +model_type: AutoModelForCausalLM +trust_remote_code: true +load_in_8bit: false +load_in_4bit: false +strict: false + + +datasets: + - path: CodeGPTPlus/typescript-0-500000-seq1024 + type: completion + field: text + + +val_set_size: 0.001 +output_dir: ./fft-out + +sequence_len: 1024 + +adapter: +lora_model_dir: +lora_r: +lora_alpha: +lora_dropout: +lora_target_linear: +lora_fan_in_fan_out: +lora_modules_to_save: + +wandb_project: deepseek_1.3_fft +wandb_entity: +wandb_watch: +wandb_name: aws_a10g +wandb_log_model: end + + +gradient_accumulation_steps: 2 +micro_batch_size: 20 +num_epochs: 1 +optimizer: adamw_bnb_8bit +adam_beta1: 0.9 +adam_beta2: 0.999 +adam_epsilon: 0.000001 +max_grad_norm: 1.0 +weight_decay: 0.1 +lr_scheduler: cosine +learning_rate: 0.00002 +train_on_inputs: false +group_by_length: false +bf16: true +fp16: false +tf32: false +gradient_checkpointing: true +early_stopping_patience: +resume_from_checkpoint: +local_rank: +logging_steps: 1 +xformers_attention: +flash_attention: true + +loss_watchdog_threshold: 5.0 +loss_watchdog_patience: 3 + +hub_model_id: CodeGPTPlus/deepseek_coder_1.3b_typescript +hub_strategy: every_save +warmup_ratio: 0.01 +evals_per_epoch: 20 +saves_per_epoch: 3 +debug: +deepspeed: + +fsdp: +fsdp_config: +special_tokens: + bos_token: "<｜begin▁of▁sentence｜>" + eos_token: "<｜end▁of▁sentence｜>" + pad_token: "<｜end▁of▁sentence｜>" +``` + +

+ +# deepseek-coder-1.3b-typescript + +CodeGPTPlus/deepseek-coder-1.3b-typescript, emerges as a fine-tuned iteration of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base), meticulously crafted by the CodeGPT team to excel in generating expert code in TypeScript. With specific fine-tuning for TypeScript and a dataset of 0.5B tokens, this model excels in producing precise and efficient solutions in this programming language. + +The 16K window size and an additional fill-in-the-middle task are employed to deliver project-level code completion. + +This new model stands as the ideal choice for those seeking a specialized code generator for TypeScript, backed by the expertise of the CodeGPT team. + +It achieves the following results on the evaluation set: +- Loss: 0.7681 + +**Model Developers** CodeGPT Team + +**Variations** 1.3B + +**Input** Models input text only. + +**Output** Models generate text only. + +## How to Use +This model is for completion purposes only. Here give some examples of how to use the model. + +#### Running the model on a GPU +```python +from transformers import AutoTokenizer, AutoModelForCausalLM +tokenizer = AutoTokenizer.from_pretrained("CodeGPTPlus/deepseek-coder-1.3b-typescript", + trust_remote_code=True) +model = AutoModelForCausalLM.from_pretrained("CodeGPTPlus/deepseek-coder-1.3b-typescript", + trust_remote_code=True).cuda() + +input_text = """<｜fim▁begin｜>function quickSort(arr: number[]): number[] { + if (arr.length <= 1) { + return arr; + } + const pivot = arr[0]; + const left = []; + const right = []; +<｜fim▁hole｜> + return [...quickSort(left), pivot, ...quickSort(right)]; +}<｜fim▁end｜>""" + +inputs = tokenizer(input_text, return_tensors="pt").to(model.device) +outputs = model.generate(**inputs, max_length=256) +print(tokenizer.decode(outputs[0], skip_special_tokens=True)) +``` + +### Running with Ollama +**Model:** https://ollama.ai/codegpt/deepseek-coder-1.3b-typescript + +```ollama run codegpt/deepseek-coder-1.3b-typescript``` + +### Running with Ollama and CodeGPT Autocomplete in VSCode + +**Documentation:** https://docs.codegpt.co/docs/tutorial-features/code_autocompletion + +Select "Ollama - codegpt/deepseek-coder-1.3b-typescript" in the autocomplete model selector. + +Then, write any code or comment in the vscode text editor, and the model will provide you with code suggestions through the CodeGPT code autocomplete. + +CodeGPT: DeepSeek Coder - Typescript + +### Fill In the Middle (FIM) +```python +<｜fim▁begin｜>function quickSort(arr: number[]): number[] { + if (arr.length <= 1) { + return arr; + } + const pivot = arr[0]; + const left = []; + const right = []; +<｜fim▁hole｜> + return [...quickSort(left), pivot, ...quickSort(right)]; +}<｜fim▁end｜> +``` + +## Training procedure + +### Training hyperparameters + +The following hyperparameters were used during training: +- learning_rate: 2e-05 +- train_batch_size: 20 +- eval_batch_size: 20 +- seed: 42 +- gradient_accumulation_steps: 2 +- total_train_batch_size: 40 +- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06 +- lr_scheduler_type: cosine +- lr_scheduler_warmup_steps: 261 +- num_epochs: 1 + +### Training results + +| Training Loss | Epoch | Step | Validation Loss | +|:-------------:|:-----:|:-----:|:---------------:| +| 1.0745 | 0.0 | 1 | 0.8681 | +| 1.2267 | 0.05 | 1308 | 0.8130 | +| 1.1594 | 0.1 | 2616 | 0.8018 | +| 0.7674 | 0.15 | 3924 | 0.7942 | +| 0.6443 | 0.2 | 5232 | 0.7889 | +| 0.9155 | 0.25 | 6540 | 0.7847 | +| 0.7501 | 0.3 | 7848 | 0.7819 | +| 0.8835 | 0.35 | 9156 | 0.7792 | +| 0.7261 | 0.4 | 10464 | 0.7769 | +| 0.9746 | 0.45 | 11772 | 0.7748 | +| 0.6884 | 0.5 | 13080 | 0.7734 | +| 0.6104 | 0.55 | 14388 | 0.7722 | +| 0.8876 | 0.6 | 15696 | 0.7710 | +| 0.9567 | 0.65 | 17004 | 0.7703 | +| 0.6915 | 0.7 | 18312 | 0.7696 | +| 0.8874 | 0.75 | 19620 | 0.7691 | +| 0.6124 | 0.8 | 20928 | 0.7686 | +| 0.8147 | 0.85 | 22236 | 0.7684 | +| 0.8021 | 0.9 | 23544 | 0.7683 | +| 0.8665 | 0.95 | 24852 | 0.7681 | + + +### Framework versions + +- Transformers 4.37.0.dev0 +- Pytorch 2.0.1+cu118 +- Datasets 2.16.1 +- Tokenizers 0.15.0 \ No newline at end of file diff --git a/codegpt-deepseek-typescript.png b/codegpt-deepseek-typescript.png new file mode 100644 index 0000000000000000000000000000000000000000..e5295d03e1c5a9fb24f27f8f74fed90ba1198fd6 GIT binary patch literal 160792 zcmeFZby!qu+cylTAWF&xL?jgH7zODzKuM*$2c)}8L`9^On4wV-q&uVr=@^ET?ii3} z$QcHhZ@Gp2+|Tnq`@Z-4&-cgo$#D!*YpwHKXZ)_St_gjjB2Rkh+9f+fUDX zqo25rxSyE$UGII$&%qJz&R=A0m7yqR2~*U4`rv_#VV@@c1zPHN<;*lZJeT&XWoa(B z8}f`i@iv~J@Hj|0nDRbI?l|g3r1)+sS$1QH@Gd2C(^!4u!n1f=!b*uh75)`{p3vc{ zj0|xWf&WY^5*#`@J9`7Kcp0;~exK+c46amajD|GlsX3g zJnR2TcaCJ^EpA8Tq!MiT=!Rlr zFQr*Bpa1y$ve)Q~2|Mo{Da97>PW8t`nufh2aL?Exh(`6khmp4ZgR@WGTo#$!I*H>JL$3=5A*+yO;Wo=?{X3GN>mv zV+lf;Im<4M;l;@yp9q!_<%9&hR*|v#2!F!lMt<$N+y~)atE(4cOt0l#PHJ>DVe5Jw zJj>xlnM?o*-kBlrqWVcIWJU|k<3|m<0H2}Vx_aruBMz}nJaB~BC%-4AS?4wQ6<+8C 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