Upload folder using huggingface_hub

README.md

@@ -0,0 +1,202 @@
+---
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+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 0.8.2

adapter_config.json

@@ -0,0 +1,27 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
+  "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": 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": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5bc467cb3f3befd929479a68b230d103cb2311878ac99505545ffe9746b3dbd7
+size 20481216

checkpoint-1000/README.md

@@ -0,0 +1,202 @@
+---
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+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 0.8.2

checkpoint-1000/adapter_config.json

@@ -0,0 +1,27 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
+  "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": 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": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

checkpoint-1000/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ad737d9bf8e1ccd7b523822960f918d1bc758c4e0bc76327edc87797f0726562
+size 20481216

checkpoint-1000/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0a32a1ff470e5b8c2f5d872b94a604ca6eb9c27b8c1d5c7bfa4c1fa4deae31b8
+size 27338373

checkpoint-1000/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:19f4465eac303f22348fca98317129c69018d21d20cf8ac8ce3d40fd24dea93c
+size 14575

checkpoint-1000/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7dd3da6c23481fed43690a3cfa3282fb4095821ca7cf6433334b245f76072de9
+size 627

checkpoint-1000/special_tokens_map.json

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

checkpoint-1000/tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
+size 493443

checkpoint-1000/tokenizer_config.json

@@ -0,0 +1,44 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "chat_template": "{%- if messages[0]['role'] == 'system' %}\n    {%- set system_message = messages[0]['content'] %}\n    {%- set loop_messages = messages[1:] %}\n{%- else %}\n    {%- set loop_messages = messages %}\n{%- endif %}\n\n{{- bos_token }}\n{%- for message in loop_messages %}\n    {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}\n        {{- raise_exception('After the optional system message, conversation roles must alternate user/assistant/user/assistant/...') }}\n    {%- endif %}\n    {%- if message['role'] == 'user' %}\n        {%- if loop.first and system_message is defined %}\n            {{- ' [INST] ' + system_message + '\\n\\n' + message['content'] + ' [/INST]' }}\n        {%- else %}\n            {{- ' [INST] ' + message['content'] + ' [/INST]' }}\n        {%- endif %}\n    {%- elif message['role'] == 'assistant' %}\n        {{- ' ' + message['content'] + eos_token}}\n    {%- else %}\n        {{- raise_exception('Only user and assistant roles are supported, with the exception of an initial optional system message!') }}\n    {%- endif %}\n{%- endfor %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

checkpoint-1000/trainer_state.json

@@ -0,0 +1,621 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.8,
+  "eval_steps": 500,
+  "global_step": 1000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.9680000000000005e-05,
+      "loss": 4.7097,
+      "step": 10
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 4.928e-05,
+      "loss": 3.8344,
+      "step": 20
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 4.8880000000000006e-05,
+      "loss": 3.6144,
+      "step": 30
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 4.8480000000000003e-05,
+      "loss": 2.943,
+      "step": 40
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 4.808e-05,
+      "loss": 2.4538,
+      "step": 50
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 4.7680000000000004e-05,
+      "loss": 2.3698,
+      "step": 60
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 4.728e-05,
+      "loss": 2.3312,
+      "step": 70
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 4.688e-05,
+      "loss": 2.2956,
+      "step": 80
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 4.648e-05,
+      "loss": 2.2078,
+      "step": 90
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 4.608e-05,
+      "loss": 2.1706,
+      "step": 100
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 4.568e-05,
+      "loss": 2.2996,
+      "step": 110
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 4.528e-05,
+      "loss": 2.108,
+      "step": 120
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 4.488e-05,
+      "loss": 2.2355,
+      "step": 130
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 4.448e-05,
+      "loss": 2.095,
+      "step": 140
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 4.4080000000000005e-05,
+      "loss": 2.088,
+      "step": 150
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 4.368e-05,
+      "loss": 2.234,
+      "step": 160
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 4.3280000000000006e-05,
+      "loss": 2.0801,
+      "step": 170
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 4.288e-05,
+      "loss": 2.0477,
+      "step": 180
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 4.248e-05,
+      "loss": 2.0408,
+      "step": 190
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 4.2080000000000004e-05,
+      "loss": 2.0821,
+      "step": 200
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 4.168e-05,
+      "loss": 2.0167,
+      "step": 210
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 4.1280000000000005e-05,
+      "loss": 2.0047,
+      "step": 220
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 4.088e-05,
+      "loss": 2.0194,
+      "step": 230
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 4.048e-05,
+      "loss": 2.0536,
+      "step": 240
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 4.008e-05,
+      "loss": 2.0073,
+      "step": 250
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 3.968e-05,
+      "loss": 1.9548,
+      "step": 260
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 3.9280000000000003e-05,
+      "loss": 2.0061,
+      "step": 270
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 3.888e-05,
+      "loss": 2.0366,
+      "step": 280
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 3.848e-05,
+      "loss": 1.9006,
+      "step": 290
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 3.808e-05,
+      "loss": 1.9345,
+      "step": 300
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 3.7680000000000005e-05,
+      "loss": 1.9285,
+      "step": 310
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 3.728e-05,
+      "loss": 1.9192,
+      "step": 320
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 3.6880000000000006e-05,
+      "loss": 1.9971,
+      "step": 330
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 3.648e-05,
+      "loss": 2.0302,
+      "step": 340
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 3.608e-05,
+      "loss": 2.0004,
+      "step": 350
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 3.5680000000000004e-05,
+      "loss": 1.9883,
+      "step": 360
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 3.528e-05,
+      "loss": 1.9856,
+      "step": 370
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 3.4880000000000005e-05,
+      "loss": 1.9686,
+      "step": 380
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 3.448e-05,
+      "loss": 2.0564,
+      "step": 390
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 3.408e-05,
+      "loss": 2.0262,
+      "step": 400
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 3.368e-05,
+      "loss": 1.993,
+      "step": 410
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 3.328e-05,
+      "loss": 1.9727,
+      "step": 420
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 3.288e-05,
+      "loss": 1.9655,
+      "step": 430
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 3.248e-05,
+      "loss": 2.0681,
+      "step": 440
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 3.208e-05,
+      "loss": 1.9584,
+      "step": 450
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 3.168e-05,
+      "loss": 2.0522,
+      "step": 460
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 3.1280000000000005e-05,
+      "loss": 1.9803,
+      "step": 470
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 3.088e-05,
+      "loss": 2.0572,
+      "step": 480
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 3.0480000000000003e-05,
+      "loss": 1.9195,
+      "step": 490
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 3.0080000000000003e-05,
+      "loss": 1.9082,
+      "step": 500
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 2.9680000000000004e-05,
+      "loss": 1.9344,
+      "step": 510
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 2.928e-05,
+      "loss": 1.893,
+      "step": 520
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 2.888e-05,
+      "loss": 2.0769,
+      "step": 530
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 2.8480000000000002e-05,
+      "loss": 1.9733,
+      "step": 540
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 2.8080000000000002e-05,
+      "loss": 1.9631,
+      "step": 550
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 2.768e-05,
+      "loss": 2.0148,
+      "step": 560
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 2.728e-05,
+      "loss": 1.9479,
+      "step": 570
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 2.688e-05,
+      "loss": 1.9772,
+      "step": 580
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 2.648e-05,
+      "loss": 1.8972,
+      "step": 590
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 2.6079999999999998e-05,
+      "loss": 1.9116,
+      "step": 600
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 2.5679999999999998e-05,
+      "loss": 2.0167,
+      "step": 610
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 2.5280000000000005e-05,
+      "loss": 1.9792,
+      "step": 620
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 2.488e-05,
+      "loss": 1.9053,
+      "step": 630
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 2.448e-05,
+      "loss": 1.9445,
+      "step": 640
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 2.408e-05,
+      "loss": 1.8597,
+      "step": 650
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 2.3680000000000004e-05,
+      "loss": 1.9974,
+      "step": 660
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 2.328e-05,
+      "loss": 1.9433,
+      "step": 670
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 2.288e-05,
+      "loss": 1.9891,
+      "step": 680
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 2.248e-05,
+      "loss": 1.9926,
+      "step": 690
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 2.2080000000000002e-05,
+      "loss": 1.9763,
+      "step": 700
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 2.168e-05,
+      "loss": 1.9978,
+      "step": 710
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 2.128e-05,
+      "loss": 1.915,
+      "step": 720
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 2.0880000000000003e-05,
+      "loss": 1.9625,
+      "step": 730
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 2.048e-05,
+      "loss": 1.9643,
+      "step": 740
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 2.008e-05,
+      "loss": 1.9624,
+      "step": 750
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 1.968e-05,
+      "loss": 2.0771,
+      "step": 760
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 1.9280000000000002e-05,
+      "loss": 1.9241,
+      "step": 770
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 1.888e-05,
+      "loss": 2.0703,
+      "step": 780
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 1.848e-05,
+      "loss": 1.9116,
+      "step": 790
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 1.808e-05,
+      "loss": 1.8427,
+      "step": 800
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 1.7680000000000004e-05,
+      "loss": 1.8531,
+      "step": 810
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 1.728e-05,
+      "loss": 1.9485,
+      "step": 820
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 1.688e-05,
+      "loss": 1.8523,
+      "step": 830
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 1.648e-05,
+      "loss": 1.8255,
+      "step": 840
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 1.6080000000000002e-05,
+      "loss": 1.9199,
+      "step": 850
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 1.568e-05,
+      "loss": 1.9955,
+      "step": 860
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 1.528e-05,
+      "loss": 1.9404,
+      "step": 870
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 1.488e-05,
+      "loss": 1.8186,
+      "step": 880
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 1.4480000000000002e-05,
+      "loss": 1.9521,
+      "step": 890
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 1.408e-05,
+      "loss": 1.9135,
+      "step": 900
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 1.3680000000000001e-05,
+      "loss": 1.9299,
+      "step": 910
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 1.3280000000000002e-05,
+      "loss": 1.8558,
+      "step": 920
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 1.288e-05,
+      "loss": 1.8933,
+      "step": 930
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 1.248e-05,
+      "loss": 1.899,
+      "step": 940
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 1.2080000000000001e-05,
+      "loss": 1.9131,
+      "step": 950
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 1.168e-05,
+      "loss": 1.8408,
+      "step": 960
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 1.128e-05,
+      "loss": 1.7633,
+      "step": 970
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 1.088e-05,
+      "loss": 1.7848,
+      "step": 980
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 1.0480000000000001e-05,
+      "loss": 1.7531,
+      "step": 990
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.008e-05,
+      "loss": 1.7954,
+      "step": 1000
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 1250,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 500,
+  "total_flos": 1.7820867240271872e+16,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-1000/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e97000e61d0d5d27fad4876d50e8c577b836277226e062e272e9d4ec29619c8e
+size 4539

checkpoint-500/README.md

@@ -0,0 +1,202 @@
+---
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+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 0.8.2

checkpoint-500/adapter_config.json

@@ -0,0 +1,27 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
+  "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": 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": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

checkpoint-500/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e38ebb0f56476bcb57df4761fdcf9512eabbea341bb8f98c3ccbd439a2feef5f
+size 20481216

checkpoint-500/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ca9b0573d78c54d86bd620a024a58baed97a449d4dfe6c31b41e846f17caf4a0
+size 27338373

checkpoint-500/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e13c5fd9797c9f83a29ce78951af45d567ab5266f0b09cff61b726821040490
+size 14575

checkpoint-500/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:991e449de4095112a1a4a322dc50ee6c0abc1636ae6639ff0bac96502178f07c
+size 627

checkpoint-500/special_tokens_map.json

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

checkpoint-500/tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
+size 493443

checkpoint-500/tokenizer_config.json

@@ -0,0 +1,44 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "chat_template": "{%- if messages[0]['role'] == 'system' %}\n    {%- set system_message = messages[0]['content'] %}\n    {%- set loop_messages = messages[1:] %}\n{%- else %}\n    {%- set loop_messages = messages %}\n{%- endif %}\n\n{{- bos_token }}\n{%- for message in loop_messages %}\n    {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}\n        {{- raise_exception('After the optional system message, conversation roles must alternate user/assistant/user/assistant/...') }}\n    {%- endif %}\n    {%- if message['role'] == 'user' %}\n        {%- if loop.first and system_message is defined %}\n            {{- ' [INST] ' + system_message + '\\n\\n' + message['content'] + ' [/INST]' }}\n        {%- else %}\n            {{- ' [INST] ' + message['content'] + ' [/INST]' }}\n        {%- endif %}\n    {%- elif message['role'] == 'assistant' %}\n        {{- ' ' + message['content'] + eos_token}}\n    {%- else %}\n        {{- raise_exception('Only user and assistant roles are supported, with the exception of an initial optional system message!') }}\n    {%- endif %}\n{%- endfor %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

checkpoint-500/trainer_state.json

@@ -0,0 +1,321 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.4,
+  "eval_steps": 500,
+  "global_step": 500,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.9680000000000005e-05,
+      "loss": 4.7097,
+      "step": 10
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 4.928e-05,
+      "loss": 3.8344,
+      "step": 20
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 4.8880000000000006e-05,
+      "loss": 3.6144,
+      "step": 30
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 4.8480000000000003e-05,
+      "loss": 2.943,
+      "step": 40
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 4.808e-05,
+      "loss": 2.4538,
+      "step": 50
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 4.7680000000000004e-05,
+      "loss": 2.3698,
+      "step": 60
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 4.728e-05,
+      "loss": 2.3312,
+      "step": 70
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 4.688e-05,
+      "loss": 2.2956,
+      "step": 80
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 4.648e-05,
+      "loss": 2.2078,
+      "step": 90
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 4.608e-05,
+      "loss": 2.1706,
+      "step": 100
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 4.568e-05,
+      "loss": 2.2996,
+      "step": 110
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 4.528e-05,
+      "loss": 2.108,
+      "step": 120
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 4.488e-05,
+      "loss": 2.2355,
+      "step": 130
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 4.448e-05,
+      "loss": 2.095,
+      "step": 140
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 4.4080000000000005e-05,
+      "loss": 2.088,
+      "step": 150
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 4.368e-05,
+      "loss": 2.234,
+      "step": 160
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 4.3280000000000006e-05,
+      "loss": 2.0801,
+      "step": 170
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 4.288e-05,
+      "loss": 2.0477,
+      "step": 180
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 4.248e-05,
+      "loss": 2.0408,
+      "step": 190
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 4.2080000000000004e-05,
+      "loss": 2.0821,
+      "step": 200
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 4.168e-05,
+      "loss": 2.0167,
+      "step": 210
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 4.1280000000000005e-05,
+      "loss": 2.0047,
+      "step": 220
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 4.088e-05,
+      "loss": 2.0194,
+      "step": 230
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 4.048e-05,
+      "loss": 2.0536,
+      "step": 240
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 4.008e-05,
+      "loss": 2.0073,
+      "step": 250
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 3.968e-05,
+      "loss": 1.9548,
+      "step": 260
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 3.9280000000000003e-05,
+      "loss": 2.0061,
+      "step": 270
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 3.888e-05,
+      "loss": 2.0366,
+      "step": 280
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 3.848e-05,
+      "loss": 1.9006,
+      "step": 290
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 3.808e-05,
+      "loss": 1.9345,
+      "step": 300
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 3.7680000000000005e-05,
+      "loss": 1.9285,
+      "step": 310
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 3.728e-05,
+      "loss": 1.9192,
+      "step": 320
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 3.6880000000000006e-05,
+      "loss": 1.9971,
+      "step": 330
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 3.648e-05,
+      "loss": 2.0302,
+      "step": 340
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 3.608e-05,
+      "loss": 2.0004,
+      "step": 350
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 3.5680000000000004e-05,
+      "loss": 1.9883,
+      "step": 360
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 3.528e-05,
+      "loss": 1.9856,
+      "step": 370
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 3.4880000000000005e-05,
+      "loss": 1.9686,
+      "step": 380
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 3.448e-05,
+      "loss": 2.0564,
+      "step": 390
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 3.408e-05,
+      "loss": 2.0262,
+      "step": 400
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 3.368e-05,
+      "loss": 1.993,
+      "step": 410
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 3.328e-05,
+      "loss": 1.9727,
+      "step": 420
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 3.288e-05,
+      "loss": 1.9655,
+      "step": 430
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 3.248e-05,
+      "loss": 2.0681,
+      "step": 440
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 3.208e-05,
+      "loss": 1.9584,
+      "step": 450
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 3.168e-05,
+      "loss": 2.0522,
+      "step": 460
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 3.1280000000000005e-05,
+      "loss": 1.9803,
+      "step": 470
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 3.088e-05,
+      "loss": 2.0572,
+      "step": 480
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 3.0480000000000003e-05,
+      "loss": 1.9195,
+      "step": 490
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 3.0080000000000003e-05,
+      "loss": 1.9082,
+      "step": 500
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 1250,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 500,
+  "total_flos": 8967836552085504.0,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-500/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e97000e61d0d5d27fad4876d50e8c577b836277226e062e272e9d4ec29619c8e
+size 4539

config.json

@@ -0,0 +1,26 @@
+{
+  "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
+  "architectures": [
+    "MistralModel"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.37.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

model-00001-of-00008.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6be792aff9953f1025b2b404c7372ee1cc249df24c4065a202081a1ad797f2ae
+size 1889586800

model-00002-of-00008.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:16d5152aed7fa4df78ab02d6aefd15e82c34abc85eabecb67c54b7d0e078d82c
+size 1946243640

model-00003-of-00008.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:858b6d7754e2140160601be78e2cf7d2508ca922fc4ef7e079ea27ea80bbbfbe
+size 1979781168

model-00004-of-00008.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e224677f60813e3c40f1ed99fc3927efc161a38123623114828a15aca956b63c
+size 1946243680

model-00005-of-00008.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8a3dd27b6071237d1be9ade4265ba761104d665383b2d78559c5798147087a7a
+size 1979781184

model-00006-of-00008.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c1d114615d61c67a44d70e78551152e8d70f04954cc3ee386657ce4a98e232ba
+size 1946243680

model-00007-of-00008.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1682f24284a8fb129dea2d85958e699505255a47b421cfbaf21b25efcbce3281
+size 1979781184

model-00008-of-00008.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:da4b39cba543fed9e061e30a44a865eaffa73761362b7f263c5db841f8052ea6
+size 553690488

model.safetensors.index.json

@@ -0,0 +1,297 @@
+{
+  "metadata": {
+    "total_size": 14221320192
+  },
+  "weight_map": {
+    "embed_tokens.weight": "model-00001-of-00008.safetensors",
+    "layers.0.input_layernorm.weight": "model-00001-of-00008.safetensors",
+    "layers.0.mlp.down_proj.weight": "model-00001-of-00008.safetensors",
+    "layers.0.mlp.gate_proj.weight": "model-00001-of-00008.safetensors",
+    "layers.0.mlp.up_proj.weight": "model-00001-of-00008.safetensors",
+    "layers.0.post_attention_layernorm.weight": "model-00001-of-00008.safetensors",
+    "layers.0.self_attn.k_proj.weight": "model-00001-of-00008.safetensors",
+    "layers.0.self_attn.o_proj.weight": "model-00001-of-00008.safetensors",
+    "layers.0.self_attn.q_proj.weight": "model-00001-of-00008.safetensors",
+    "layers.0.self_attn.v_proj.weight": "model-00001-of-00008.safetensors",
+    "layers.1.input_layernorm.weight": "model-00001-of-00008.safetensors",
+    "layers.1.mlp.down_proj.weight": "model-00001-of-00008.safetensors",
+    "layers.1.mlp.gate_proj.weight": "model-00001-of-00008.safetensors",
+    "layers.1.mlp.up_proj.weight": "model-00001-of-00008.safetensors",
+    "layers.1.post_attention_layernorm.weight": "model-00001-of-00008.safetensors",
+    "layers.1.self_attn.k_proj.weight": "model-00001-of-00008.safetensors",
+    "layers.1.self_attn.o_proj.weight": "model-00001-of-00008.safetensors",
+    "layers.1.self_attn.q_proj.weight": "model-00001-of-00008.safetensors",
+    "layers.1.self_attn.v_proj.weight": "model-00001-of-00008.safetensors",
+    "layers.10.input_layernorm.weight": "model-00003-of-00008.safetensors",
+    "layers.10.mlp.down_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.10.mlp.gate_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.10.mlp.up_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.10.post_attention_layernorm.weight": "model-00003-of-00008.safetensors",
+    "layers.10.self_attn.k_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.10.self_attn.o_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.10.self_attn.q_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.10.self_attn.v_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.11.input_layernorm.weight": "model-00003-of-00008.safetensors",
+    "layers.11.mlp.down_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.11.mlp.gate_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.11.mlp.up_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.11.post_attention_layernorm.weight": "model-00003-of-00008.safetensors",
+    "layers.11.self_attn.k_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.11.self_attn.o_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.11.self_attn.q_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.11.self_attn.v_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.12.input_layernorm.weight": "model-00004-of-00008.safetensors",
+    "layers.12.mlp.down_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.12.mlp.gate_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.12.mlp.up_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.12.post_attention_layernorm.weight": "model-00004-of-00008.safetensors",
+    "layers.12.self_attn.k_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.12.self_attn.o_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.12.self_attn.q_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.12.self_attn.v_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.13.input_layernorm.weight": "model-00004-of-00008.safetensors",
+    "layers.13.mlp.down_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.13.mlp.gate_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.13.mlp.up_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.13.post_attention_layernorm.weight": "model-00004-of-00008.safetensors",
+    "layers.13.self_attn.k_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.13.self_attn.o_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.13.self_attn.q_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.13.self_attn.v_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.14.input_layernorm.weight": "model-00004-of-00008.safetensors",
+    "layers.14.mlp.down_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.14.mlp.gate_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.14.mlp.up_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.14.post_attention_layernorm.weight": "model-00004-of-00008.safetensors",
+    "layers.14.self_attn.k_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.14.self_attn.o_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.14.self_attn.q_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.14.self_attn.v_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.15.input_layernorm.weight": "model-00004-of-00008.safetensors",
+    "layers.15.mlp.down_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.15.mlp.gate_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.15.mlp.up_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.15.post_attention_layernorm.weight": "model-00004-of-00008.safetensors",
+    "layers.15.self_attn.k_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.15.self_attn.o_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.15.self_attn.q_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.15.self_attn.v_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.16.input_layernorm.weight": "model-00004-of-00008.safetensors",
+    "layers.16.mlp.down_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.16.mlp.gate_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.16.mlp.up_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.16.post_attention_layernorm.weight": "model-00004-of-00008.safetensors",
+    "layers.16.self_attn.k_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.16.self_attn.o_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.16.self_attn.q_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.16.self_attn.v_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.17.input_layernorm.weight": "model-00005-of-00008.safetensors",
+    "layers.17.mlp.down_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.17.mlp.gate_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.17.mlp.up_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.17.post_attention_layernorm.weight": "model-00005-of-00008.safetensors",
+    "layers.17.self_attn.k_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.17.self_attn.o_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.17.self_attn.q_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.17.self_attn.v_proj.weight": "model-00004-of-00008.safetensors",
+    "layers.18.input_layernorm.weight": "model-00005-of-00008.safetensors",
+    "layers.18.mlp.down_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.18.mlp.gate_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.18.mlp.up_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.18.post_attention_layernorm.weight": "model-00005-of-00008.safetensors",
+    "layers.18.self_attn.k_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.18.self_attn.o_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.18.self_attn.q_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.18.self_attn.v_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.19.input_layernorm.weight": "model-00005-of-00008.safetensors",
+    "layers.19.mlp.down_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.19.mlp.gate_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.19.mlp.up_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.19.post_attention_layernorm.weight": "model-00005-of-00008.safetensors",
+    "layers.19.self_attn.k_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.19.self_attn.o_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.19.self_attn.q_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.19.self_attn.v_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.2.input_layernorm.weight": "model-00001-of-00008.safetensors",
+    "layers.2.mlp.down_proj.weight": "model-00001-of-00008.safetensors",
+    "layers.2.mlp.gate_proj.weight": "model-00001-of-00008.safetensors",
+    "layers.2.mlp.up_proj.weight": "model-00001-of-00008.safetensors",
+    "layers.2.post_attention_layernorm.weight": "model-00001-of-00008.safetensors",
+    "layers.2.self_attn.k_proj.weight": "model-00001-of-00008.safetensors",
+    "layers.2.self_attn.o_proj.weight": "model-00001-of-00008.safetensors",
+    "layers.2.self_attn.q_proj.weight": "model-00001-of-00008.safetensors",
+    "layers.2.self_attn.v_proj.weight": "model-00001-of-00008.safetensors",
+    "layers.20.input_layernorm.weight": "model-00005-of-00008.safetensors",
+    "layers.20.mlp.down_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.20.mlp.gate_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.20.mlp.up_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.20.post_attention_layernorm.weight": "model-00005-of-00008.safetensors",
+    "layers.20.self_attn.k_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.20.self_attn.o_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.20.self_attn.q_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.20.self_attn.v_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.21.input_layernorm.weight": "model-00006-of-00008.safetensors",
+    "layers.21.mlp.down_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.21.mlp.gate_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.21.mlp.up_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.21.post_attention_layernorm.weight": "model-00006-of-00008.safetensors",
+    "layers.21.self_attn.k_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.21.self_attn.o_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.21.self_attn.q_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.21.self_attn.v_proj.weight": "model-00005-of-00008.safetensors",
+    "layers.22.input_layernorm.weight": "model-00006-of-00008.safetensors",
+    "layers.22.mlp.down_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.22.mlp.gate_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.22.mlp.up_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.22.post_attention_layernorm.weight": "model-00006-of-00008.safetensors",
+    "layers.22.self_attn.k_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.22.self_attn.o_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.22.self_attn.q_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.22.self_attn.v_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.23.input_layernorm.weight": "model-00006-of-00008.safetensors",
+    "layers.23.mlp.down_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.23.mlp.gate_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.23.mlp.up_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.23.post_attention_layernorm.weight": "model-00006-of-00008.safetensors",
+    "layers.23.self_attn.k_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.23.self_attn.o_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.23.self_attn.q_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.23.self_attn.v_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.24.input_layernorm.weight": "model-00006-of-00008.safetensors",
+    "layers.24.mlp.down_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.24.mlp.gate_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.24.mlp.up_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.24.post_attention_layernorm.weight": "model-00006-of-00008.safetensors",
+    "layers.24.self_attn.k_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.24.self_attn.o_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.24.self_attn.q_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.24.self_attn.v_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.25.input_layernorm.weight": "model-00006-of-00008.safetensors",
+    "layers.25.mlp.down_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.25.mlp.gate_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.25.mlp.up_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.25.post_attention_layernorm.weight": "model-00006-of-00008.safetensors",
+    "layers.25.self_attn.k_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.25.self_attn.o_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.25.self_attn.q_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.25.self_attn.v_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.26.input_layernorm.weight": "model-00007-of-00008.safetensors",
+    "layers.26.mlp.down_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.26.mlp.gate_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.26.mlp.up_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.26.post_attention_layernorm.weight": "model-00007-of-00008.safetensors",
+    "layers.26.self_attn.k_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.26.self_attn.o_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.26.self_attn.q_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.26.self_attn.v_proj.weight": "model-00006-of-00008.safetensors",
+    "layers.27.input_layernorm.weight": "model-00007-of-00008.safetensors",
+    "layers.27.mlp.down_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.27.mlp.gate_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.27.mlp.up_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.27.post_attention_layernorm.weight": "model-00007-of-00008.safetensors",
+    "layers.27.self_attn.k_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.27.self_attn.o_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.27.self_attn.q_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.27.self_attn.v_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.28.input_layernorm.weight": "model-00007-of-00008.safetensors",
+    "layers.28.mlp.down_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.28.mlp.gate_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.28.mlp.up_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.28.post_attention_layernorm.weight": "model-00007-of-00008.safetensors",
+    "layers.28.self_attn.k_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.28.self_attn.o_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.28.self_attn.q_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.28.self_attn.v_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.29.input_layernorm.weight": "model-00007-of-00008.safetensors",
+    "layers.29.mlp.down_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.29.mlp.gate_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.29.mlp.up_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.29.post_attention_layernorm.weight": "model-00007-of-00008.safetensors",
+    "layers.29.self_attn.k_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.29.self_attn.o_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.29.self_attn.q_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.29.self_attn.v_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.3.input_layernorm.weight": "model-00002-of-00008.safetensors",
+    "layers.3.mlp.down_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.3.mlp.gate_proj.weight": "model-00001-of-00008.safetensors",
+    "layers.3.mlp.up_proj.weight": "model-00001-of-00008.safetensors",
+    "layers.3.post_attention_layernorm.weight": "model-00002-of-00008.safetensors",
+    "layers.3.self_attn.k_proj.weight": "model-00001-of-00008.safetensors",
+    "layers.3.self_attn.o_proj.weight": "model-00001-of-00008.safetensors",
+    "layers.3.self_attn.q_proj.weight": "model-00001-of-00008.safetensors",
+    "layers.3.self_attn.v_proj.weight": "model-00001-of-00008.safetensors",
+    "layers.30.input_layernorm.weight": "model-00008-of-00008.safetensors",
+    "layers.30.mlp.down_proj.weight": "model-00008-of-00008.safetensors",
+    "layers.30.mlp.gate_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.30.mlp.up_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.30.post_attention_layernorm.weight": "model-00008-of-00008.safetensors",
+    "layers.30.self_attn.k_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.30.self_attn.o_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.30.self_attn.q_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.30.self_attn.v_proj.weight": "model-00007-of-00008.safetensors",
+    "layers.31.input_layernorm.weight": "model-00008-of-00008.safetensors",
+    "layers.31.mlp.down_proj.weight": "model-00008-of-00008.safetensors",
+    "layers.31.mlp.gate_proj.weight": "model-00008-of-00008.safetensors",
+    "layers.31.mlp.up_proj.weight": "model-00008-of-00008.safetensors",
+    "layers.31.post_attention_layernorm.weight": "model-00008-of-00008.safetensors",
+    "layers.31.self_attn.k_proj.weight": "model-00008-of-00008.safetensors",
+    "layers.31.self_attn.o_proj.weight": "model-00008-of-00008.safetensors",
+    "layers.31.self_attn.q_proj.weight": "model-00008-of-00008.safetensors",
+    "layers.31.self_attn.v_proj.weight": "model-00008-of-00008.safetensors",
+    "layers.4.input_layernorm.weight": "model-00002-of-00008.safetensors",
+    "layers.4.mlp.down_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.4.mlp.gate_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.4.mlp.up_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.4.post_attention_layernorm.weight": "model-00002-of-00008.safetensors",
+    "layers.4.self_attn.k_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.4.self_attn.o_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.4.self_attn.q_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.4.self_attn.v_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.5.input_layernorm.weight": "model-00002-of-00008.safetensors",
+    "layers.5.mlp.down_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.5.mlp.gate_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.5.mlp.up_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.5.post_attention_layernorm.weight": "model-00002-of-00008.safetensors",
+    "layers.5.self_attn.k_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.5.self_attn.o_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.5.self_attn.q_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.5.self_attn.v_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.6.input_layernorm.weight": "model-00002-of-00008.safetensors",
+    "layers.6.mlp.down_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.6.mlp.gate_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.6.mlp.up_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.6.post_attention_layernorm.weight": "model-00002-of-00008.safetensors",
+    "layers.6.self_attn.k_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.6.self_attn.o_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.6.self_attn.q_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.6.self_attn.v_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.7.input_layernorm.weight": "model-00002-of-00008.safetensors",
+    "layers.7.mlp.down_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.7.mlp.gate_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.7.mlp.up_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.7.post_attention_layernorm.weight": "model-00002-of-00008.safetensors",
+    "layers.7.self_attn.k_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.7.self_attn.o_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.7.self_attn.q_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.7.self_attn.v_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.8.input_layernorm.weight": "model-00003-of-00008.safetensors",
+    "layers.8.mlp.down_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.8.mlp.gate_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.8.mlp.up_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.8.post_attention_layernorm.weight": "model-00003-of-00008.safetensors",
+    "layers.8.self_attn.k_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.8.self_attn.o_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.8.self_attn.q_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.8.self_attn.v_proj.weight": "model-00002-of-00008.safetensors",
+    "layers.9.input_layernorm.weight": "model-00003-of-00008.safetensors",
+    "layers.9.mlp.down_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.9.mlp.gate_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.9.mlp.up_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.9.post_attention_layernorm.weight": "model-00003-of-00008.safetensors",
+    "layers.9.self_attn.k_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.9.self_attn.o_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.9.self_attn.q_proj.weight": "model-00003-of-00008.safetensors",
+    "layers.9.self_attn.v_proj.weight": "model-00003-of-00008.safetensors",
+    "norm.weight": "model-00008-of-00008.safetensors"
+  }
+}

special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
+size 493443

tokenizer_config.json

@@ -0,0 +1,44 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "chat_template": "{%- if messages[0]['role'] == 'system' %}\n    {%- set system_message = messages[0]['content'] %}\n    {%- set loop_messages = messages[1:] %}\n{%- else %}\n    {%- set loop_messages = messages %}\n{%- endif %}\n\n{{- bos_token }}\n{%- for message in loop_messages %}\n    {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}\n        {{- raise_exception('After the optional system message, conversation roles must alternate user/assistant/user/assistant/...') }}\n    {%- endif %}\n    {%- if message['role'] == 'user' %}\n        {%- if loop.first and system_message is defined %}\n            {{- ' [INST] ' + system_message + '\\n\\n' + message['content'] + ' [/INST]' }}\n        {%- else %}\n            {{- ' [INST] ' + message['content'] + ' [/INST]' }}\n        {%- endif %}\n    {%- elif message['role'] == 'assistant' %}\n        {{- ' ' + message['content'] + eos_token}}\n    {%- else %}\n        {{- raise_exception('Only user and assistant roles are supported, with the exception of an initial optional system message!') }}\n    {%- endif %}\n{%- endfor %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e97000e61d0d5d27fad4876d50e8c577b836277226e062e272e9d4ec29619c8e
+size 4539