Training in progress, step 50, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: unsloth/SmolLM-135M-Instruct
+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 0.14.0

last-checkpoint/adapter_config.json

@@ -0,0 +1,37 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "unsloth/SmolLM-135M-Instruct",
+  "bias": "none",
+  "eva_config": null,
+  "exclude_modules": null,
+  "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": 128,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "gate_proj",
+    "down_proj",
+    "o_proj",
+    "v_proj",
+    "q_proj",
+    "up_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

last-checkpoint/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:98e8164c49ea3f6d853824d3207300df005df1da900dc7b69395510036cde644
+size 78207176

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:31b7d32df88cc203d3aba1dd5abf964e83cd12a633860c8143a9c059dd10182c
+size 40177764

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:27ead0ae614e29ba140b054da595dc22a1f6ef90418b45c865660e4fed1d907a
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1d359eb5d29e75fb2bbe5b7026981da69b95b8ad1fea469302d13cde104f7e8a
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,34 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "bos_token": {
+    "content": "<|im_start|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<empty_output>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,155 @@
+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<repo_name>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "4": {
+      "content": "<reponame>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "5": {
+      "content": "<file_sep>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "6": {
+      "content": "<filename>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "7": {
+      "content": "<gh_stars>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "8": {
+      "content": "<issue_start>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "9": {
+      "content": "<issue_comment>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "10": {
+      "content": "<issue_closed>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "11": {
+      "content": "<jupyter_start>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "12": {
+      "content": "<jupyter_text>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "13": {
+      "content": "<jupyter_code>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "14": {
+      "content": "<jupyter_output>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "15": {
+      "content": "<jupyter_script>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "16": {
+      "content": "<empty_output>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "bos_token": "<|im_start|>",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "model_max_length": 2048,
+  "pad_token": "<empty_output>",
+  "padding_side": "left",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>",
+  "vocab_size": 49152
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,400 @@
+{
+  "best_metric": 3.3235485553741455,
+  "best_model_checkpoint": "miner_id_24/checkpoint-50",
+  "epoch": 0.03277076847452073,
+  "eval_steps": 50,
+  "global_step": 50,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0006554153694904145,
+      "grad_norm": 0.3098103106021881,
+      "learning_rate": 1e-05,
+      "loss": 3.0207,
+      "step": 1
+    },
+    {
+      "epoch": 0.001310830738980829,
+      "grad_norm": 0.27532878518104553,
+      "learning_rate": 2e-05,
+      "loss": 3.1008,
+      "step": 2
+    },
+    {
+      "epoch": 0.0019662461084712438,
+      "grad_norm": 0.2772844433784485,
+      "learning_rate": 3e-05,
+      "loss": 3.0758,
+      "step": 3
+    },
+    {
+      "epoch": 0.002621661477961658,
+      "grad_norm": 0.25919222831726074,
+      "learning_rate": 4e-05,
+      "loss": 3.0759,
+      "step": 4
+    },
+    {
+      "epoch": 0.003277076847452073,
+      "grad_norm": 0.26954472064971924,
+      "learning_rate": 5e-05,
+      "loss": 3.1084,
+      "step": 5
+    },
+    {
+      "epoch": 0.0039324922169424875,
+      "grad_norm": 0.27401259541511536,
+      "learning_rate": 6e-05,
+      "loss": 3.095,
+      "step": 6
+    },
+    {
+      "epoch": 0.004587907586432902,
+      "grad_norm": 0.24428066611289978,
+      "learning_rate": 7e-05,
+      "loss": 3.0163,
+      "step": 7
+    },
+    {
+      "epoch": 0.005243322955923316,
+      "grad_norm": 0.23802290856838226,
+      "learning_rate": 8e-05,
+      "loss": 3.0029,
+      "step": 8
+    },
+    {
+      "epoch": 0.005898738325413731,
+      "grad_norm": 0.22179660201072693,
+      "learning_rate": 9e-05,
+      "loss": 3.0681,
+      "step": 9
+    },
+    {
+      "epoch": 0.006554153694904146,
+      "grad_norm": 0.21020349860191345,
+      "learning_rate": 0.0001,
+      "loss": 3.0855,
+      "step": 10
+    },
+    {
+      "epoch": 0.00720956906439456,
+      "grad_norm": 0.2235424518585205,
+      "learning_rate": 9.999316524962345e-05,
+      "loss": 2.9662,
+      "step": 11
+    },
+    {
+      "epoch": 0.007864984433884975,
+      "grad_norm": 0.2600112557411194,
+      "learning_rate": 9.997266286704631e-05,
+      "loss": 3.2229,
+      "step": 12
+    },
+    {
+      "epoch": 0.008520399803375388,
+      "grad_norm": 0.2411264330148697,
+      "learning_rate": 9.993849845741524e-05,
+      "loss": 3.0825,
+      "step": 13
+    },
+    {
+      "epoch": 0.009175815172865804,
+      "grad_norm": 0.24231299757957458,
+      "learning_rate": 9.989068136093873e-05,
+      "loss": 2.9365,
+      "step": 14
+    },
+    {
+      "epoch": 0.009831230542356219,
+      "grad_norm": 0.23741275072097778,
+      "learning_rate": 9.98292246503335e-05,
+      "loss": 3.1978,
+      "step": 15
+    },
+    {
+      "epoch": 0.010486645911846632,
+      "grad_norm": 0.2019416242837906,
+      "learning_rate": 9.975414512725057e-05,
+      "loss": 2.939,
+      "step": 16
+    },
+    {
+      "epoch": 0.011142061281337047,
+      "grad_norm": 0.22710829973220825,
+      "learning_rate": 9.966546331768191e-05,
+      "loss": 3.0941,
+      "step": 17
+    },
+    {
+      "epoch": 0.011797476650827463,
+      "grad_norm": 0.22677072882652283,
+      "learning_rate": 9.956320346634876e-05,
+      "loss": 3.0246,
+      "step": 18
+    },
+    {
+      "epoch": 0.012452892020317876,
+      "grad_norm": 0.23977142572402954,
+      "learning_rate": 9.944739353007344e-05,
+      "loss": 3.1213,
+      "step": 19
+    },
+    {
+      "epoch": 0.013108307389808291,
+      "grad_norm": 0.24886702001094818,
+      "learning_rate": 9.931806517013612e-05,
+      "loss": 3.2117,
+      "step": 20
+    },
+    {
+      "epoch": 0.013763722759298706,
+      "grad_norm": 0.2775655686855316,
+      "learning_rate": 9.917525374361912e-05,
+      "loss": 3.035,
+      "step": 21
+    },
+    {
+      "epoch": 0.01441913812878912,
+      "grad_norm": 0.2388041913509369,
+      "learning_rate": 9.901899829374047e-05,
+      "loss": 2.9455,
+      "step": 22
+    },
+    {
+      "epoch": 0.015074553498279535,
+      "grad_norm": 0.2821864187717438,
+      "learning_rate": 9.884934153917997e-05,
+      "loss": 3.0245,
+      "step": 23
+    },
+    {
+      "epoch": 0.01572996886776995,
+      "grad_norm": 0.25312885642051697,
+      "learning_rate": 9.86663298624003e-05,
+      "loss": 3.1346,
+      "step": 24
+    },
+    {
+      "epoch": 0.016385384237260363,
+      "grad_norm": 0.2532975971698761,
+      "learning_rate": 9.847001329696653e-05,
+      "loss": 2.9428,
+      "step": 25
+    },
+    {
+      "epoch": 0.017040799606750777,
+      "grad_norm": 0.29583296179771423,
+      "learning_rate": 9.826044551386744e-05,
+      "loss": 2.9738,
+      "step": 26
+    },
+    {
+      "epoch": 0.017696214976241194,
+      "grad_norm": 0.3085959851741791,
+      "learning_rate": 9.803768380684242e-05,
+      "loss": 3.1449,
+      "step": 27
+    },
+    {
+      "epoch": 0.018351630345731607,
+      "grad_norm": 0.30581218004226685,
+      "learning_rate": 9.780178907671789e-05,
+      "loss": 3.1815,
+      "step": 28
+    },
+    {
+      "epoch": 0.01900704571522202,
+      "grad_norm": 0.3084297478199005,
+      "learning_rate": 9.755282581475769e-05,
+      "loss": 3.1203,
+      "step": 29
+    },
+    {
+      "epoch": 0.019662461084712438,
+      "grad_norm": 0.36776086688041687,
+      "learning_rate": 9.729086208503174e-05,
+      "loss": 3.072,
+      "step": 30
+    },
+    {
+      "epoch": 0.02031787645420285,
+      "grad_norm": 0.38626205921173096,
+      "learning_rate": 9.701596950580806e-05,
+      "loss": 3.166,
+      "step": 31
+    },
+    {
+      "epoch": 0.020973291823693264,
+      "grad_norm": 0.3833729922771454,
+      "learning_rate": 9.672822322997305e-05,
+      "loss": 3.1819,
+      "step": 32
+    },
+    {
+      "epoch": 0.02162870719318368,
+      "grad_norm": 0.42334744334220886,
+      "learning_rate": 9.642770192448536e-05,
+      "loss": 3.1987,
+      "step": 33
+    },
+    {
+      "epoch": 0.022284122562674095,
+      "grad_norm": 0.4530569911003113,
+      "learning_rate": 9.611448774886924e-05,
+      "loss": 3.1255,
+      "step": 34
+    },
+    {
+      "epoch": 0.022939537932164508,
+      "grad_norm": 0.5036771893501282,
+      "learning_rate": 9.578866633275288e-05,
+      "loss": 3.0758,
+      "step": 35
+    },
+    {
+      "epoch": 0.023594953301654925,
+      "grad_norm": 0.5206623077392578,
+      "learning_rate": 9.545032675245813e-05,
+      "loss": 3.1785,
+      "step": 36
+    },
+    {
+      "epoch": 0.02425036867114534,
+      "grad_norm": 0.5639891624450684,
+      "learning_rate": 9.509956150664796e-05,
+      "loss": 2.9772,
+      "step": 37
+    },
+    {
+      "epoch": 0.024905784040635752,
+      "grad_norm": 0.7079694867134094,
+      "learning_rate": 9.473646649103818e-05,
+      "loss": 3.2065,
+      "step": 38
+    },
+    {
+      "epoch": 0.02556119941012617,
+      "grad_norm": 0.6076254844665527,
+      "learning_rate": 9.43611409721806e-05,
+      "loss": 3.2508,
+      "step": 39
+    },
+    {
+      "epoch": 0.026216614779616582,
+      "grad_norm": 0.7317216992378235,
+      "learning_rate": 9.397368756032445e-05,
+      "loss": 3.2032,
+      "step": 40
+    },
+    {
+      "epoch": 0.026872030149106996,
+      "grad_norm": 0.8177981376647949,
+      "learning_rate": 9.357421218136386e-05,
+      "loss": 3.1836,
+      "step": 41
+    },
+    {
+      "epoch": 0.027527445518597413,
+      "grad_norm": 0.8066899180412292,
+      "learning_rate": 9.316282404787871e-05,
+      "loss": 3.3552,
+      "step": 42
+    },
+    {
+      "epoch": 0.028182860888087826,
+      "grad_norm": 0.8450434803962708,
+      "learning_rate": 9.273963562927695e-05,
+      "loss": 3.2211,
+      "step": 43
+    },
+    {
+      "epoch": 0.02883827625757824,
+      "grad_norm": 0.9745408296585083,
+      "learning_rate": 9.230476262104677e-05,
+      "loss": 3.8435,
+      "step": 44
+    },
+    {
+      "epoch": 0.029493691627068656,
+      "grad_norm": 0.9286258816719055,
+      "learning_rate": 9.185832391312644e-05,
+      "loss": 3.3007,
+      "step": 45
+    },
+    {
+      "epoch": 0.03014910699655907,
+      "grad_norm": 0.937138557434082,
+      "learning_rate": 9.140044155740101e-05,
+      "loss": 3.5231,
+      "step": 46
+    },
+    {
+      "epoch": 0.030804522366049483,
+      "grad_norm": 0.9640071392059326,
+      "learning_rate": 9.093124073433463e-05,
+      "loss": 3.326,
+      "step": 47
+    },
+    {
+      "epoch": 0.0314599377355399,
+      "grad_norm": 1.0529676675796509,
+      "learning_rate": 9.045084971874738e-05,
+      "loss": 3.5608,
+      "step": 48
+    },
+    {
+      "epoch": 0.03211535310503031,
+      "grad_norm": 1.19937002658844,
+      "learning_rate": 8.995939984474624e-05,
+      "loss": 4.3367,
+      "step": 49
+    },
+    {
+      "epoch": 0.03277076847452073,
+      "grad_norm": 2.15059757232666,
+      "learning_rate": 8.945702546981969e-05,
+      "loss": 4.3144,
+      "step": 50
+    },
+    {
+      "epoch": 0.03277076847452073,
+      "eval_loss": 3.3235485553741455,
+      "eval_runtime": 28.8793,
+      "eval_samples_per_second": 88.991,
+      "eval_steps_per_second": 22.265,
+      "step": 50
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 200,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 50,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 5,
+        "early_stopping_threshold": 0.0
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 0
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1242268462743552.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:73ea669b9453c90b68e9c531dfcf6c02a7a08d78f34398a247219df30c1f8636
+size 6904