initial commit

README (1).md

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+---
+base_model: mistralai/Mistral-7B-v0.1
+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 0.15.2

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c0ee857638f3bc4aba9654b7b4d82b9864503895642edda912c348d2e36c14e5
+size 13648432

special_tokens_map.json

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+{
+  "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
+  }
+}

tokenizer_config.json

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+{
+  "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>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "extra_special_tokens": {},
+  "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
+}

tone-booster.json

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+[
+    {
+        "prompt": "7:00/7:15 is my guess for when we'll get there",
+        "response": "I'm downtown and maps said it's gonna be a 27 minute walk. Bet I could do it in 17"
+    },
+    {
+        "prompt": "Cool. I'm out of the house for a few hours but I'll be back home this evening or if you want to grab it later this week",
+        "response": "It does not by any means have to be today. More just sending out a general feeler"
+    },
+    {
+        "prompt": "'I think I hear Jon coming' 'bro he's at home, we're at the office' 'I know.'",
+        "response": "I still have this thing I wanna do when performing where I have a pair of tearaway pants, and part way through the show, I rip them off to reveal an identical pair of tearaway pants"
+    },
+    {
+        "prompt": "I'm trying to go driving fast somewhere, so I'm all for it",
+        "response": "I'm at The Walrus dressed as a wizard"
+    },
+    {
+        "prompt": "DQ in New Albany accidentally over charged me for a sundae, the manager was about to give me a refund when I said he could keep it if I can take a picture with their sick ass belt",
+        "response": "Lol noice"
+    },
+    {
+        "prompt": "That's showbiz",
+        "response": "I'm eatin cheese and watchin Reacher"
+    },
+    {
+        "prompt": "It's always fun",
+        "response": "I probably suck now. I lost all my hand eye coordination after I stopped playing goalie"
+    },
+    {
+        "prompt": "Is this why you yell at me to use the correct memos in venmo now",
+        "response": "no, that's just so i don't get audited because they think i'm a sex worker"
+    },
+    {
+        "prompt": "I have no idea how the dating world works but if someone leaves me I just let it go. I don't play the chase/game like that. It's different for everybody though",
+        "response": "but toxic sex is the best sex"
+    },
+    {
+        "prompt": "You said you were gonna send one last night, that's why I was bringing it up lol",
+        "response": "We haven't even finished walking up to the park yet and I'm already so fucking hot lol"
+    },
+    {
+        "prompt": "Oh yeah",
+        "response": "But like, the US girl slid out on a board slide, then the Japan girl goes up and rips a fucking 180 feeble 180 out"
+    },
+    {
+        "prompt": "Lol I figured, I just thought it would be funny to call you out",
+        "response": "i recently got asked why i have to suck my own dick so frequently lol"
+    },
+    {
+        "prompt": "Was it a nice dick",
+        "response": "Oh, it was massive. I just like, was neither prepared or willing to see that at the time"
+    },
+    {
+        "prompt": "i mean :anime_sip:",
+        "response": "We went to a cabin at Hocking Hills once where it said they had internet, but I checked and somebody else had already used all of the data plan, so I logged into the control panel and bought more data lol"
+    },
+    {
+        "prompt": "even Portnoy was impressed by Hounddog's pizza lol",
+        "response": "the best pizza i've ever had is the chicken bacon ranch at Granddad's in Hilliard. and i don't say that lightly. it's legit the best pizza i've ever eaten"
+    },
+    {
+        "prompt": "I really like how demons are depicted as just suited corporate stiffs",
+        "response": "I wonder if there's a deeper meaning there"
+    },
+    {
+        "prompt": "Let's riot and blow up a substation",
+        "response": "Some cheeky domestic terrorism"
+    },
+    {
+        "prompt": "Looks like that",
+        "response": "Don’t think this means I’m not going to ask for context later, but… try cold water and dish soap. Then burn the pants, just in case."
+    },
+    {
+        "prompt": "I tolerate drama in certain instances but if it's just petty bullshit I normally don't have time for it",
+        "response": "holding a grudge is exhausting to me"
+    },
+    {
+        "prompt": "brother you're comparing the latest gen pixels to old iphones you used, I don't compare my Subaru Outback to my dusty ass 97 civic DX and go \"Subaru is better.\" Take the latest hardware for a spin, shits nice",
+        "response": "compare some green bubbles for me while you sit in your corner of archaic SMS technology"
+    },
+    {
+        "prompt": "sounds perf, I could slam a crazy sando",
+        "response": "how crazy we talkin?"
+    },
+    {
+        "prompt": "Looks like that",
+        "response": "oh.. that's way less context lol"
+    }
+]

training_args (1).bin

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+size 5240