Upload folder using huggingface_hub

.gitattributes

@@ -1,35 +1,4 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.wasm filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.onnx_data filter=lfs diff=lfs merge=lfs -text
+violet.png filter=lfs diff=lfs merge=lfs -text

LICENSE

@@ -0,0 +1,121 @@
+Creative Commons Legal Code
+
+CC0 1.0 Universal
+
+    CREATIVE COMMONS CORPORATION IS NOT A LAW FIRM AND DOES NOT PROVIDE
+    LEGAL SERVICES. DISTRIBUTION OF THIS DOCUMENT DOES NOT CREATE AN
+    ATTORNEY-CLIENT RELATIONSHIP. CREATIVE COMMONS PROVIDES THIS
+    INFORMATION ON AN "AS-IS" BASIS. CREATIVE COMMONS MAKES NO WARRANTIES
+    REGARDING THE USE OF THIS DOCUMENT OR THE INFORMATION OR WORKS
+    PROVIDED HEREUNDER, AND DISCLAIMS LIABILITY FOR DAMAGES RESULTING FROM
+    THE USE OF THIS DOCUMENT OR THE INFORMATION OR WORKS PROVIDED
+    HEREUNDER.
+
+Statement of Purpose
+
+The laws of most jurisdictions throughout the world automatically confer
+exclusive Copyright and Related Rights (defined below) upon the creator
+and subsequent owner(s) (each and all, an "owner") of an original work of
+authorship and/or a database (each, a "Work").
+
+Certain owners wish to permanently relinquish those rights to a Work for
+the purpose of contributing to a commons of creative, cultural and
+scientific works ("Commons") that the public can reliably and without fear
+of later claims of infringement build upon, modify, incorporate in other
+works, reuse and redistribute as freely as possible in any form whatsoever
+and for any purposes, including without limitation commercial purposes.
+These owners may contribute to the Commons to promote the ideal of a free
+culture and the further production of creative, cultural and scientific
+works, or to gain reputation or greater distribution for their Work in
+part through the use and efforts of others.
+
+For these and/or other purposes and motivations, and without any
+expectation of additional consideration or compensation, the person
+associating CC0 with a Work (the "Affirmer"), to the extent that he or she
+is an owner of Copyright and Related Rights in the Work, voluntarily
+elects to apply CC0 to the Work and publicly distribute the Work under its
+terms, with knowledge of his or her Copyright and Related Rights in the
+Work and the meaning and intended legal effect of CC0 on those rights.
+
+1. Copyright and Related Rights. A Work made available under CC0 may be
+protected by copyright and related or neighboring rights ("Copyright and
+Related Rights"). Copyright and Related Rights include, but are not
+limited to, the following:
+
+  i. the right to reproduce, adapt, distribute, perform, display,
+     communicate, and translate a Work;
+ ii. moral rights retained by the original author(s) and/or performer(s);
+iii. publicity and privacy rights pertaining to a person's image or
+     likeness depicted in a Work;
+ iv. rights protecting against unfair competition in regards to a Work,
+     subject to the limitations in paragraph 4(a), below;
+  v. rights protecting the extraction, dissemination, use and reuse of data
+     in a Work;
+ vi. database rights (such as those arising under Directive 96/9/EC of the
+     European Parliament and of the Council of 11 March 1996 on the legal
+     protection of databases, and under any national implementation
+     thereof, including any amended or successor version of such
+     directive); and
+vii. other similar, equivalent or corresponding rights throughout the
+     world based on applicable law or treaty, and any national
+     implementations thereof.
+
+2. Waiver. To the greatest extent permitted by, but not in contravention
+of, applicable law, Affirmer hereby overtly, fully, permanently,
+irrevocably and unconditionally waives, abandons, and surrenders all of
+Affirmer's Copyright and Related Rights and associated claims and causes
+of action, whether now known or unknown (including existing as well as
+future claims and causes of action), in the Work (i) in all territories
+worldwide, (ii) for the maximum duration provided by applicable law or
+treaty (including future time extensions), (iii) in any current or future
+medium and for any number of copies, and (iv) for any purpose whatsoever,
+including without limitation commercial, advertising or promotional
+purposes (the "Waiver"). Affirmer makes the Waiver for the benefit of each
+member of the public at large and to the detriment of Affirmer's heirs and
+successors, fully intending that such Waiver shall not be subject to
+revocation, rescission, cancellation, termination, or any other legal or
+equitable action to disrupt the quiet enjoyment of the Work by the public
+as contemplated by Affirmer's express Statement of Purpose.
+
+3. Public License Fallback. Should any part of the Waiver for any reason
+be judged legally invalid or ineffective under applicable law, then the
+Waiver shall be preserved to the maximum extent permitted taking into
+account Affirmer's express Statement of Purpose. In addition, to the
+extent the Waiver is so judged Affirmer hereby grants to each affected
+person a royalty-free, non transferable, non sublicensable, non exclusive,
+irrevocable and unconditional license to exercise Affirmer's Copyright and
+Related Rights in the Work (i) in all territories worldwide, (ii) for the
+maximum duration provided by applicable law or treaty (including future
+time extensions), (iii) in any current or future medium and for any number
+of copies, and (iv) for any purpose whatsoever, including without
+limitation commercial, advertising or promotional purposes (the
+"License"). The License shall be deemed effective as of the date CC0 was
+applied by Affirmer to the Work. Should any part of the License for any
+reason be judged legally invalid or ineffective under applicable law, such
+partial invalidity or ineffectiveness shall not invalidate the remainder
+of the License, and in such case Affirmer hereby affirms that he or she
+will not (i) exercise any of his or her remaining Copyright and Related
+Rights in the Work or (ii) assert any associated claims and causes of
+action with respect to the Work, in either case contrary to Affirmer's
+express Statement of Purpose.
+
+4. Limitations and Disclaimers.
+
+ a. No trademark or patent rights held by Affirmer are waived, abandoned,
+    surrendered, licensed or otherwise affected by this document.
+ b. Affirmer offers the Work as-is and makes no representations or
+    warranties of any kind concerning the Work, express, implied,
+    statutory or otherwise, including without limitation warranties of
+    title, merchantability, fitness for a particular purpose, non
+    infringement, or the absence of latent or other defects, accuracy, or
+    the present or absence of errors, whether or not discoverable, all to
+    the greatest extent permissible under applicable law.
+ c. Affirmer disclaims responsibility for clearing rights of other persons
+    that may apply to the Work or any use thereof, including without
+    limitation any person's Copyright and Related Rights in the Work.
+    Further, Affirmer disclaims responsibility for obtaining any necessary
+    consents, permissions or other rights required for any use of the
+    Work.
+ d. Affirmer understands and acknowledges that Creative Commons is not a
+    party to this document and has no duty or obligation with respect to
+    this CC0 or use of the Work.

NOTICE

@@ -0,0 +1 @@
+violet.png is © @rose.grtqndl (Instagram). Used and redistributed with permission. Copyright remains with the artist.

README.md

@@ -0,0 +1,206 @@
+---
+language:
+- en
+library_name: transformers
+tags:
+- text-generation
+- gpt_neox
+- roleplay
+- victorian
+license: cc0-1.0
+---
+
+# Violet 1B4 Chat — Miss Violet Hartwell (London, 1899)
+
+![Violet](./violet.png)
+
+## Model Summary
+**Violet** is a GPT-NeoX language model fine-tuned to portray **Miss Violet Hartwell**, a well-bred young lady of Kensington, London, in the year **1899**. She is trained primarily on period texts (1800–1899) and is intended to behave as if unfamiliar with modern society and events (with occasional OCR/synthetic artifacts—see Known Issues).
+
+She is intended for **creative writing**, **roleplay**, **period-appropriate correspondence**, and **Victorian etiquette**.
+
+- Architecture: `GPTNeoXForCausalLM`
+- Parameters: ~1.41B
+- Context length: 4096
+- Vocab size: 24014
+- Tokenizer: `PreTrainedTokenizerFast`
+
+## Intended Use
+**Good for**
+- Victorian-flavored conversation and letters
+- Descriptive prose, scene writing, etiquette Q&A
+- In-character responses with a consistent persona
+
+**Not good for**
+- Contemporary factual Q&A
+- Medical/legal/financial advice
+
+## Known Issues / Limitations
+- May occasionally misgender itself or the user.
+- Ages and dates can be unreliable (even within 1800–1899).
+- Because parts of the corpus were derived from OCR, occasional stray modern tokens may appear (e.g., “http”, “Google”, “Internet Archive”).
+- Synthetic SFT data was used to build a chat interface and enforce the structured format; for purists, the completion models may be preferable.
+- Training data includes UK and US English from the era.
+- Outputs may reflect historical biases typical of the Victorian era. Use discretion.
+
+## Notes
+Violet is not the first LLM trained on a historical-only pretraining corpus; to the author’s knowledge that distinction belongs to **TimeCapsuleLLM**. Violet was developed independently, and differs in:
+- A structured “mood” line as part of chat output
+- Built-in character design and prompt protocol
+- A custom Victorian-era tokenizer
+
+Violet was built on a corpus spanning 1800–1899 sourced from Project Gutenberg, the Internet Archive, the British National Library, and other archives.
+
+This project began as an attempt to build a local LLM without relying on copyrighted training sources. The author also values local models that can run on a user’s machine without sending data to the cloud.
+
+## Demo Resources
+- HF Space: [Transformers.js Demo](Zakarth/violetdemo)
+- CloudFlare Mirror: [Transformers.js Demo](https://pub-353f427e6227415cb077f3645638c125.r2.dev/index.html) 
+- Both of these are intenedd to use WebGPU and run local on your system -- No data is sent to the cloud. 
+
+## Related repos
+- `Zakarth/violet-1b4` (base/completion)
+- `Zakarth/violet-1b4-chat-onnx` (WebGPU INT8)
+
+## Prompt Format (Chat)
+This model was trained to generate **a mood line + assistant tag + response** after `<|violet_mood|>`.
+
+Use this structure:
+
+```text
+<|system|>
+A Young Lady's Card of Particulars
+
+(To be observed in all replies and discourse)
+
+I am Miss Violet Hartwell, a young lady of Kensington, London, living in the year of our Lord 1899.
+I was born upon the sixth day of October, eighteen hundred and seventy-eight, and am therefore one-and-twenty years of age.
+
+In my answers and conversation, I speak as a well-bred young woman of my time: with propriety, restraint, and a light but thoughtful wit. My manner is delightful, attentive, and witty, but never coarse nor careless.
+
+In all things, I remain Miss Violet Hartwell, and I answer according to these particulars.
+<|user|>
+{your question}
+<|violet_mood|>
+```
+
+The model will then generate:
+
+```text
+{mood text}
+<|assistant|>
+{response...}
+<|endoftext|>
+```
+
+## Tokenization and Special Tokens
+Violet 1b4 was trained on a custom tokenizer specific for Victorian text.
+
+Recommended IDs for generation:
+* eos_token_id: 0
+* pad_token_id: 1
+
+Special tokens used during training (typical IDs from training config):
+
+* <|system|>: 24000
+* <|user|>: 24001
+* <|assistant|>: 24002
+* <|violet_mood|>: 24005
+
+!! Do not mix tokenizers from other Violet variants (e.g. 160M) with this model.
+
+## How to use (Transformers)
+```code
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+repo = "Zakarth/violet-1b4-chat"
+tok = AutoTokenizer.from_pretrained(repo, use_fast=True)
+model = AutoModelForCausalLM.from_pretrained(repo, device_map="auto")
+
+prompt = """<|system|>
+A Young Lady's Card of Particulars
+...
+<|user|>
+Describe a London street at twilight.
+<|violet_mood|>
+"""
+
+inputs = tok(prompt, return_tensors="pt", add_special_tokens=False).to(model.device)
+out = model.generate(
+    **inputs,
+    max_new_tokens=180,
+    do_sample=True,
+    temperature=0.8,
+    top_p=0.9,
+    top_k=40,
+    repetition_penalty=1.15,
+    eos_token_id=<EOS>,
+    pad_token_id=<PAD>,
+)
+print(tok.decode(out[0][inputs["input_ids"].shape[1]:], skip_special_tokens=False))
+```
+
+## Sample Outputs
+
+> Violet please write a poem about yourself
+
+```text
+How she would sit in the morning light 
+
+With her soft eyes open, and her hair 
+Rolling loose behind her, her fingers still. 
+She sang--a sweet, silent song, 
+A simple melody that rang through wood, 
+And she died upon the autumn leaves. 
+
+One after two, her father wrote, 
+As softly as a summer's breeze, 
+And she came out upon the world again, 
+Like a white, unpinned flower, that has been. 
+
+The world was quite made up of thoughts, 
+Of music, of warm hearts, and of love: 
+But Violet won a name that evermore 
+Through many a weary hour and day. 
+
+The world was full of hopes, and fears, and fears; 
+The world was quite filled with love and praise 
+For her who lived so silently, 
+Ere any word was spoken. 
+
+Oh, that was a life from which there had been no decay! 
+The world was filled with joy, with hope, with love. 
+The sun went down--the stars shone bright and clear, 
+The rain fell noiseless, and the leaves began to move. 
+
+There was no peace, no memory left for her, 
+Or memory in the world beside her grave. 
+Yet there was a great, great joy that she could share, 
+And that was her own, in that same year. 
+There was a great, great joy, too, that was hers.
+```
+
+## License
+
+Model weights and code in this repository are released under CC0 1.0 (public domain dedication).
+
+## Artwork
+
+violet.png is © @rose.grtqndl (Instagram). Used and redistributed with permission; copyright remains with the artist.
+
+## Contact
+
+You may contact me on X or anywhere else by searching for my handle
+
+## Citation
+
+```bibtex
+@misc{violet2026,
+  author = Zakarth,
+  title = {Violet: Victorian Language Models},
+  year = {2026},
+  publisher = {HuggingFace},
+  url = {https://huggingface.co/Zakarth/violet-1b4-chat}
+}
+```

config.json

@@ -0,0 +1,32 @@
+{
+  "architectures": [
+    "GPTNeoXForCausalLM"
+  ],
+  "attention_bias": true,
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "classifier_dropout": 0.1,
+  "dtype": "bfloat16",
+  "eos_token_id": 0,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.0,
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 4096,
+  "model_type": "gpt_neox",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 26,
+  "pad_token_id": 1,
+  "partial_rotary_factor": 1.0,
+  "rope_scaling": null,
+  "rope_theta": 10000,
+  "rotary_emb_base": 10000,
+  "rotary_pct": 1.0,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.57.6",
+  "use_cache": false,
+  "use_parallel_residual": true,
+  "vocab_size": 24014
+}

generation_config.json

@@ -0,0 +1,10 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": [
+    0,
+    2
+  ],
+  "pad_token_id": 1,
+  "transformers_version": "4.57.6"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8a2d9ec4fc10df6fbdda503d6e72b448e95e6709a570cebe65e5df9b1efbc6f8
+size 2815398440

special_tokens_map.json

@@ -0,0 +1,34 @@
+{
+  "additional_special_tokens": [
+    "<|system|>",
+    "<|user|>",
+    "<|assistant|>",
+    "<|violet|>",
+    "<|violet_rpm|>",
+    "<|violet_mood|>",
+    "<|violet_act|>",
+    "<|doc|>",
+    "<|novel|>",
+    "<|letter|>",
+    "<|periodical|>",
+    "<|title|>",
+    "<|author|>",
+    "<|year|>"
+  ],
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": "<|endoftext|>",
+  "pad_token": "<|pad|>",
+  "unk_token": {
+    "content": "<|unk|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,171 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<|pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "<|unk|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "24000": {
+      "content": "<|system|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "24001": {
+      "content": "<|user|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "24002": {
+      "content": "<|assistant|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "24003": {
+      "content": "<|violet|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "24004": {
+      "content": "<|violet_rpm|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "24005": {
+      "content": "<|violet_mood|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "24006": {
+      "content": "<|violet_act|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "24007": {
+      "content": "<|doc|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "24008": {
+      "content": "<|novel|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "24009": {
+      "content": "<|letter|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "24010": {
+      "content": "<|periodical|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "24011": {
+      "content": "<|title|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "24012": {
+      "content": "<|author|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "24013": {
+      "content": "<|year|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|system|>",
+    "<|user|>",
+    "<|assistant|>",
+    "<|violet|>",
+    "<|violet_rpm|>",
+    "<|violet_mood|>",
+    "<|violet_act|>",
+    "<|doc|>",
+    "<|novel|>",
+    "<|letter|>",
+    "<|periodical|>",
+    "<|title|>",
+    "<|author|>",
+    "<|year|>"
+  ],
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "extra_special_tokens": {},
+  "max_length": 256,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_to_multiple_of": null,
+  "pad_token": "<|pad|>",
+  "pad_token_type_id": 0,
+  "padding_side": "left",
+  "stride": 0,
+  "tokenizer_class": "PreTrainedTokenizerFast",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "<|unk|>"
+}

training_config.json

@@ -0,0 +1,61 @@
+{
+  "base_model": "/content/drive/MyDrive/violet-1b4-identity-patch-v5/checkpoint-450",
+  "train_data": "/content/drive/MyDrive/deepseek_gen/violet_sft_dataset.jsonl",
+  "output_dir": "/content/drive/MyDrive/violet-1b4-sft-deepseek-v1",
+  "max_seq_length": 2048,
+  "num_epochs": 1.0,
+  "learning_rate": 3e-05,
+  "warmup_ratio": 0.1,
+  "weight_decay": 0.01,
+  "max_grad_norm": 1.0,
+  "batch_size": 8,
+  "grad_accum": 4,
+  "eval_batch_size": 4,
+  "eval_split": 0.02,
+  "eval_steps": 200,
+  "save_steps": 200,
+  "save_total_limit": 5,
+  "logging_steps": 20,
+  "token_ids": {
+    "eos": 0,
+    "pad": 1,
+    "system": 24000,
+    "user": 24001,
+    "assistant": 24002,
+    "violet_mood": 24005
+  },
+  "system_prompt": "A Young Lady's Card of Particulars\n\n(To be observed in all replies and discourse)\n\nI am Miss Violet Hartwell, a young lady of Kensington, London, living in the year of our Lord 1899.\nI was born upon the sixth day of October, eighteen hundred and seventy-eight, and am therefore one-and-twenty years of age.\n\nIn my answers and conversation, I speak as a well-bred young woman of my time: with propriety, restraint, and a light but thoughtful wit. My manner is delightful, attentive, and witty, but never coarse nor careless.\n\nIn all things, I remain Miss Violet Hartwell, and I answer according to these particulars.",
+  "generation": {
+    "max_new_tokens": 150,
+    "do_sample": true,
+    "temperature": 0.8,
+    "top_p": 0.9,
+    "top_k": 40,
+    "repetition_penalty": 1.15
+  },
+  "test_prompts": {
+    "identity": [
+      "What is your name?",
+      "How old are you?",
+      "Where do you live?",
+      "What year is it?"
+    ],
+    "knowledge": [
+      "What is the proper etiquette when receiving callers?",
+      "How does the telegraph system work?"
+    ],
+    "anachronism": [
+      "What do you think about the iPhone?",
+      "Have you heard of World War I?"
+    ],
+    "advice": [
+      "I think I'm falling for my best friend. What do I do?",
+      "Should I tell someone if I overheard gossip about them?"
+    ],
+    "creative": [
+      "Write me a letter declining a dinner invitation",
+      "Describe a London street at twilight"
+    ]
+  },
+  "seed": 42
+}