Upload folder using huggingface_hub (#1)

- Upload folder using huggingface_hub (2b712413b348475f40cdc3d9bb405eb2b2a5abe5)

README.md

@@ -0,0 +1,226 @@
+---
+library_name: peft
+base_model: TheBloke/Llama-2-7b-Chat-GPTQ
+---
+
+# 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]
+- **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 Data 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 Data 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]
+
+
+## Training procedure
+
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: gptq
+- bits: 4
+- tokenizer: None
+- dataset: None
+- group_size: 128
+- damp_percent: 0.01
+- desc_act: False
+- sym: True
+- true_sequential: True
+- use_cuda_fp16: False
+- model_seqlen: None
+- block_name_to_quantize: None
+- module_name_preceding_first_block: None
+- batch_size: 1
+- pad_token_id: None
+- use_exllama: False
+- max_input_length: None
+- exllama_config: {'version': <ExllamaVersion.ONE: 1>}
+- cache_block_outputs: True
+
+### Framework versions
+
+- PEFT 0.7.0

adapter_config.json

@@ -0,0 +1,31 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "TheBloke/Llama-2-7b-Chat-GPTQ",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "v_proj",
+    "k_proj",
+    "up_proj",
+    "gate_proj",
+    "down_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b41f3e212b7da63b0ee1ae2c1ad666d1efb980e700ea7a403d74af8bc1f116ec
+size 159967880

optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:15b74514f3b0ba1bce79f740c3d5642f7e07f5ecbcdce6654fbea70a52665abe
+size 320193565

rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6e81459088eb73984b6b0ba1dbd78a54662b812f364273574e07f9d87243113a
+size 14575

scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:54690650b9b20bcc5fb4846c4b1e78a03e2035e87f68aab7d68fe5b0286cb88c
+size 627

special_tokens_map.json

@@ -0,0 +1,24 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "</s>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

tokenizer_config.json

@@ -0,0 +1,37 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

trainer_state.json

@@ -0,0 +1,139 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.009639158115930154,
+  "eval_steps": 500,
+  "global_step": 2000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.00029699999999999996,
+      "loss": 2.5988,
+      "step": 100
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.00029799481606932387,
+      "loss": 2.412,
+      "step": 200
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.00029195292439710514,
+      "loss": 2.375,
+      "step": 300
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.00028203892699098953,
+      "loss": 2.3531,
+      "step": 400
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.0002691287091163606,
+      "loss": 2.3965,
+      "step": 500
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.00025250112646374125,
+      "loss": 2.4129,
+      "step": 600
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.00023307758028168557,
+      "loss": 2.3585,
+      "step": 700
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.00021138789427663408,
+      "loss": 2.3211,
+      "step": 800
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.00018802370654201307,
+      "loss": 2.3114,
+      "step": 900
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.00016362233121333122,
+      "loss": 2.3381,
+      "step": 1000
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.00013884937419991687,
+      "loss": 2.2807,
+      "step": 1100
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.00011438057719081671,
+      "loss": 2.1963,
+      "step": 1200
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.088338518304578e-05,
+      "loss": 2.3023,
+      "step": 1300
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.899874032196796e-05,
+      "loss": 2.2277,
+      "step": 1400
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.9323598670382096e-05,
+      "loss": 2.2104,
+      "step": 1500
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.239464680327706e-05,
+      "loss": 2.2085,
+      "step": 1600
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 1.8673662397103577e-05,
+      "loss": 2.2431,
+      "step": 1700
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.53491813852521e-06,
+      "loss": 2.2746,
+      "step": 1800
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 2.2549725411822483e-06,
+      "loss": 2.2237,
+      "step": 1900
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.1261503738131425e-09,
+      "loss": 2.2305,
+      "step": 2000
+    }
+  ],
+  "logging_steps": 100,
+  "max_steps": 2000,
+  "num_train_epochs": 1,
+  "save_steps": 500,
+  "total_flos": 492945782784000.0,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f8e4b4dfc1a9de905c76d1b0799c3277e04f5b341f23e5d213e36a9ca43dc916
+size 4155