Upload folder using huggingface_hub

README.md

@@ -0,0 +1,202 @@
+---
+base_model: Qwen/Qwen2-72B-Instruct-GPTQ-Int4
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.12.0

adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen2-72B-Instruct-GPTQ-Int4",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "k_proj",
+    "o_proj",
+    "up_proj",
+    "gate_proj",
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:600ebe8f2029b921b217789989d024730ffb004eb4a37098a8099627225f2eff
+size 422201952

added_tokens.json

@@ -0,0 +1,5 @@
+{
+  "<|endoftext|>": 151643,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644
+}

optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ac3a66e4082eab22bf9843b8975ce209792fe752e51c3104db25ff2e0d51d282
+size 844771794

rng_state_0.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:040640ac721c2d51db640c3226cf4df9f2849cd7a69a094a6a9c44c1099abffa
+size 15024

rng_state_1.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4acc46791fbf144de252be0d227366627b72919cd348285cde497704a9e1c1ed
+size 15024

rng_state_2.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b840991b54b95df1203ac03b70b299a7d74921730b7348b39c0e64ee35dc3546
+size 15024

rng_state_3.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aa9a41f0a8d648748387796c47778c9314f38c61029dcc40a2aa89ad544e3948
+size 15024

scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ed19b0e006a4f52a0734134ba69ca8dfec011ede350e006576a100006a121b9f
+size 1064

special_tokens_map.json

@@ -0,0 +1,20 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,43 @@
+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "model_max_length": 32768,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

trainer_state.json

@@ -0,0 +1,474 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.0,
+  "eval_steps": 500,
+  "global_step": 63,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.047619047619047616,
+      "grad_norm": 2.636066198348999,
+      "learning_rate": 3.3333333333333333e-06,
+      "loss": 1.5447,
+      "step": 1
+    },
+    {
+      "epoch": 0.09523809523809523,
+      "grad_norm": 1.7816333770751953,
+      "learning_rate": 6.666666666666667e-06,
+      "loss": 1.1323,
+      "step": 2
+    },
+    {
+      "epoch": 0.14285714285714285,
+      "grad_norm": 2.2745041847229004,
+      "learning_rate": 1e-05,
+      "loss": 1.2092,
+      "step": 3
+    },
+    {
+      "epoch": 0.19047619047619047,
+      "grad_norm": 2.6683919429779053,
+      "learning_rate": 1.3333333333333333e-05,
+      "loss": 1.5569,
+      "step": 4
+    },
+    {
+      "epoch": 0.23809523809523808,
+      "grad_norm": 2.3222100734710693,
+      "learning_rate": 1.6666666666666667e-05,
+      "loss": 1.4135,
+      "step": 5
+    },
+    {
+      "epoch": 0.2857142857142857,
+      "grad_norm": 2.067908525466919,
+      "learning_rate": 2e-05,
+      "loss": 1.2277,
+      "step": 6
+    },
+    {
+      "epoch": 0.3333333333333333,
+      "grad_norm": 2.5608789920806885,
+      "learning_rate": 1.9984815164333163e-05,
+      "loss": 1.4595,
+      "step": 7
+    },
+    {
+      "epoch": 0.38095238095238093,
+      "grad_norm": 2.3394458293914795,
+      "learning_rate": 1.9939306773179498e-05,
+      "loss": 1.0971,
+      "step": 8
+    },
+    {
+      "epoch": 0.42857142857142855,
+      "grad_norm": 2.624566078186035,
+      "learning_rate": 1.9863613034027224e-05,
+      "loss": 1.3249,
+      "step": 9
+    },
+    {
+      "epoch": 0.47619047619047616,
+      "grad_norm": 3.019270420074463,
+      "learning_rate": 1.9757963826274357e-05,
+      "loss": 1.1663,
+      "step": 10
+    },
+    {
+      "epoch": 0.5238095238095238,
+      "grad_norm": 4.040117263793945,
+      "learning_rate": 1.9622680003092503e-05,
+      "loss": 1.3519,
+      "step": 11
+    },
+    {
+      "epoch": 0.5714285714285714,
+      "grad_norm": 5.076770782470703,
+      "learning_rate": 1.9458172417006347e-05,
+      "loss": 1.212,
+      "step": 12
+    },
+    {
+      "epoch": 0.6190476190476191,
+      "grad_norm": 3.281177282333374,
+      "learning_rate": 1.9264940672148018e-05,
+      "loss": 0.8725,
+      "step": 13
+    },
+    {
+      "epoch": 0.6666666666666666,
+      "grad_norm": 3.5001425743103027,
+      "learning_rate": 1.9043571606975776e-05,
+      "loss": 0.6642,
+      "step": 14
+    },
+    {
+      "epoch": 0.7142857142857143,
+      "grad_norm": 2.4256069660186768,
+      "learning_rate": 1.879473751206489e-05,
+      "loss": 0.5313,
+      "step": 15
+    },
+    {
+      "epoch": 0.7619047619047619,
+      "grad_norm": 2.3582112789154053,
+      "learning_rate": 1.851919408838327e-05,
+      "loss": 0.73,
+      "step": 16
+    },
+    {
+      "epoch": 0.8095238095238095,
+      "grad_norm": 1.449530005455017,
+      "learning_rate": 1.821777815225245e-05,
+      "loss": 0.3238,
+      "step": 17
+    },
+    {
+      "epoch": 0.8571428571428571,
+      "grad_norm": 2.057817220687866,
+      "learning_rate": 1.789140509396394e-05,
+      "loss": 0.3367,
+      "step": 18
+    },
+    {
+      "epoch": 0.9047619047619048,
+      "grad_norm": 1.7016539573669434,
+      "learning_rate": 1.7541066097768965e-05,
+      "loss": 0.3914,
+      "step": 19
+    },
+    {
+      "epoch": 0.9523809523809523,
+      "grad_norm": 1.2818858623504639,
+      "learning_rate": 1.7167825131684516e-05,
+      "loss": 0.1852,
+      "step": 20
+    },
+    {
+      "epoch": 1.0,
+      "grad_norm": 0.9452447891235352,
+      "learning_rate": 1.6772815716257414e-05,
+      "loss": 0.1722,
+      "step": 21
+    },
+    {
+      "epoch": 1.0476190476190477,
+      "grad_norm": 0.5685144662857056,
+      "learning_rate": 1.6357237482099682e-05,
+      "loss": 0.0953,
+      "step": 22
+    },
+    {
+      "epoch": 1.0952380952380953,
+      "grad_norm": 0.6435515880584717,
+      "learning_rate": 1.5922352526649803e-05,
+      "loss": 0.1832,
+      "step": 23
+    },
+    {
+      "epoch": 1.1428571428571428,
+      "grad_norm": 1.049676537513733,
+      "learning_rate": 1.5469481581224274e-05,
+      "loss": 0.402,
+      "step": 24
+    },
+    {
+      "epoch": 1.1904761904761905,
+      "grad_norm": 0.9065538048744202,
+      "learning_rate": 1.5000000000000002e-05,
+      "loss": 0.2622,
+      "step": 25
+    },
+    {
+      "epoch": 1.2380952380952381,
+      "grad_norm": 0.5284762978553772,
+      "learning_rate": 1.4515333583108896e-05,
+      "loss": 0.1086,
+      "step": 26
+    },
+    {
+      "epoch": 1.2857142857142856,
+      "grad_norm": 0.7903798222541809,
+      "learning_rate": 1.4016954246529697e-05,
+      "loss": 0.0996,
+      "step": 27
+    },
+    {
+      "epoch": 1.3333333333333333,
+      "grad_norm": 0.2656748294830322,
+      "learning_rate": 1.3506375551927546e-05,
+      "loss": 0.0154,
+      "step": 28
+    },
+    {
+      "epoch": 1.380952380952381,
+      "grad_norm": 1.171624779701233,
+      "learning_rate": 1.2985148110016947e-05,
+      "loss": 0.2659,
+      "step": 29
+    },
+    {
+      "epoch": 1.4285714285714286,
+      "grad_norm": 0.31690454483032227,
+      "learning_rate": 1.2454854871407993e-05,
+      "loss": 0.0673,
+      "step": 30
+    },
+    {
+      "epoch": 1.4761904761904763,
+      "grad_norm": 0.7295234799385071,
+      "learning_rate": 1.1917106319237386e-05,
+      "loss": 0.2074,
+      "step": 31
+    },
+    {
+      "epoch": 1.5238095238095237,
+      "grad_norm": 0.6296242475509644,
+      "learning_rate": 1.1373535578184083e-05,
+      "loss": 0.1208,
+      "step": 32
+    },
+    {
+      "epoch": 1.5714285714285714,
+      "grad_norm": 1.0464074611663818,
+      "learning_rate": 1.0825793454723325e-05,
+      "loss": 0.2525,
+      "step": 33
+    },
+    {
+      "epoch": 1.619047619047619,
+      "grad_norm": 0.4286152422428131,
+      "learning_rate": 1.0275543423681622e-05,
+      "loss": 0.1035,
+      "step": 34
+    },
+    {
+      "epoch": 1.6666666666666665,
+      "grad_norm": 0.5248931646347046,
+      "learning_rate": 9.724456576318383e-06,
+      "loss": 0.1614,
+      "step": 35
+    },
+    {
+      "epoch": 1.7142857142857144,
+      "grad_norm": 0.40034690499305725,
+      "learning_rate": 9.174206545276678e-06,
+      "loss": 0.1218,
+      "step": 36
+    },
+    {
+      "epoch": 1.7619047619047619,
+      "grad_norm": 0.4369080662727356,
+      "learning_rate": 8.626464421815919e-06,
+      "loss": 0.06,
+      "step": 37
+    },
+    {
+      "epoch": 1.8095238095238095,
+      "grad_norm": 1.110698938369751,
+      "learning_rate": 8.082893680762619e-06,
+      "loss": 0.3501,
+      "step": 38
+    },
+    {
+      "epoch": 1.8571428571428572,
+      "grad_norm": 0.314057320356369,
+      "learning_rate": 7.545145128592009e-06,
+      "loss": 0.0499,
+      "step": 39
+    },
+    {
+      "epoch": 1.9047619047619047,
+      "grad_norm": 0.9931963086128235,
+      "learning_rate": 7.014851889983058e-06,
+      "loss": 0.1744,
+      "step": 40
+    },
+    {
+      "epoch": 1.9523809523809523,
+      "grad_norm": 0.31384727358818054,
+      "learning_rate": 6.4936244480724575e-06,
+      "loss": 0.0713,
+      "step": 41
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 0.4129275977611542,
+      "learning_rate": 5.983045753470308e-06,
+      "loss": 0.0776,
+      "step": 42
+    },
+    {
+      "epoch": 2.0476190476190474,
+      "grad_norm": 0.31003817915916443,
+      "learning_rate": 5.484666416891109e-06,
+      "loss": 0.043,
+      "step": 43
+    },
+    {
+      "epoch": 2.0952380952380953,
+      "grad_norm": 0.5723528265953064,
+      "learning_rate": 5.000000000000003e-06,
+      "loss": 0.0901,
+      "step": 44
+    },
+    {
+      "epoch": 2.142857142857143,
+      "grad_norm": 0.6738455295562744,
+      "learning_rate": 4.530518418775734e-06,
+      "loss": 0.1227,
+      "step": 45
+    },
+    {
+      "epoch": 2.1904761904761907,
+      "grad_norm": 0.5331130027770996,
+      "learning_rate": 4.077647473350201e-06,
+      "loss": 0.1491,
+      "step": 46
+    },
+    {
+      "epoch": 2.238095238095238,
+      "grad_norm": 0.4636727571487427,
+      "learning_rate": 3.6427625179003223e-06,
+      "loss": 0.0874,
+      "step": 47
+    },
+    {
+      "epoch": 2.2857142857142856,
+      "grad_norm": 0.5442101359367371,
+      "learning_rate": 3.2271842837425917e-06,
+      "loss": 0.1945,
+      "step": 48
+    },
+    {
+      "epoch": 2.3333333333333335,
+      "grad_norm": 0.3890051543712616,
+      "learning_rate": 2.8321748683154893e-06,
+      "loss": 0.1032,
+      "step": 49
+    },
+    {
+      "epoch": 2.380952380952381,
+      "grad_norm": 0.4027661085128784,
+      "learning_rate": 2.4589339022310386e-06,
+      "loss": 0.1239,
+      "step": 50
+    },
+    {
+      "epoch": 2.4285714285714284,
+      "grad_norm": 0.5832112431526184,
+      "learning_rate": 2.1085949060360654e-06,
+      "loss": 0.1892,
+      "step": 51
+    },
+    {
+      "epoch": 2.4761904761904763,
+      "grad_norm": 0.29090118408203125,
+      "learning_rate": 1.7822218477475496e-06,
+      "loss": 0.0538,
+      "step": 52
+    },
+    {
+      "epoch": 2.5238095238095237,
+      "grad_norm": 1.1339997053146362,
+      "learning_rate": 1.4808059116167306e-06,
+      "loss": 0.256,
+      "step": 53
+    },
+    {
+      "epoch": 2.571428571428571,
+      "grad_norm": 0.41949254274368286,
+      "learning_rate": 1.2052624879351105e-06,
+      "loss": 0.0908,
+      "step": 54
+    },
+    {
+      "epoch": 2.619047619047619,
+      "grad_norm": 0.7024145126342773,
+      "learning_rate": 9.564283930242258e-07,
+      "loss": 0.1081,
+      "step": 55
+    },
+    {
+      "epoch": 2.6666666666666665,
+      "grad_norm": 0.236419215798378,
+      "learning_rate": 7.350593278519824e-07,
+      "loss": 0.0255,
+      "step": 56
+    },
+    {
+      "epoch": 2.7142857142857144,
+      "grad_norm": 0.49600574374198914,
+      "learning_rate": 5.418275829936537e-07,
+      "loss": 0.1057,
+      "step": 57
+    },
+    {
+      "epoch": 2.761904761904762,
+      "grad_norm": 0.2218826860189438,
+      "learning_rate": 3.773199969074959e-07,
+      "loss": 0.0306,
+      "step": 58
+    },
+    {
+      "epoch": 2.8095238095238093,
+      "grad_norm": 0.793448269367218,
+      "learning_rate": 2.420361737256438e-07,
+      "loss": 0.0991,
+      "step": 59
+    },
+    {
+      "epoch": 2.857142857142857,
+      "grad_norm": 0.2536832094192505,
+      "learning_rate": 1.3638696597277678e-07,
+      "loss": 0.0382,
+      "step": 60
+    },
+    {
+      "epoch": 2.9047619047619047,
+      "grad_norm": 0.38577455282211304,
+      "learning_rate": 6.069322682050516e-08,
+      "loss": 0.0753,
+      "step": 61
+    },
+    {
+      "epoch": 2.9523809523809526,
+      "grad_norm": 0.2848428785800934,
+      "learning_rate": 1.518483566683826e-08,
+      "loss": 0.0502,
+      "step": 62
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 0.2466929852962494,
+      "learning_rate": 0.0,
+      "loss": 0.032,
+      "step": 63
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 63,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2094121699246080.0,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0b095e90ec5e64d67d5ab7a368204644dde642397348af163f9afd2525d257a8
+size 6136