Violet 160M Chat — Miss Violet Hartwell (London, 1899)
0
7 commits
1 linked in READMEs
updated Feb 3, 2026
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 unfamiliar with modern society and events (with occasional OCR/synthetic artifacts—see Known Issues). In practice she should be witty, quirky, and delightfully charming. Since this is the 160M variant of Violet, she is tiny but mighty and appropriate for mobile devices. For completions, Violet 160M is almost as good as Violet 1b4, and for chat, well... It's fun at least. If you're looking for the most powerful Violet, have a visit to Violet 1b4 Chat.
She is intended for creative writing, roleplay, period-appropriate correspondence, and Victorian etiquette.
GPTNeoXForCausalLMGPTNeoXTokenizerGood for
Not good for
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:
Violet 160M was built on a corpus spanning 1800–1899 mostly sourced from Project Gutenberg. Consequently she has a very strong narrative presence.
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.
Zakarth/violet-160m (base/completion for 160M series)Zakarth/violet-1b4 (base/completion)Zakarth/violet-1b4-chat-onnx (WebGPU INT8)This model was trained to generate a mood line + assistant tag + response after <|violet_mood|>.
Use this structure:
<|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:
{mood text}
<|assistant|>
{response...}
<|endoftext|>
Violet 160M uses a GPT-NeoX / Pythia-style tokenizer.
Recommended IDs for generation:
Special tokens used during training (typical IDs from training config):
!! Do not mix tokenizers from other Violet variants (e.g. 1.4B) with this model.
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
repo = "Zakarth/violet-160m-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
(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|>
Describe a London street at twilight.
<|violet_mood|>
"""
inputs = tok(prompt, return_tensors="pt", add_special_tokens=False)
# Filter out token_type_ids if present
inputs = {k: v.to(model.device) for k, v in inputs.items() if k in ['input_ids', 'attention_mask']}
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=0,
pad_token_id=50277,
)
print(tok.decode(out[0][inputs["input_ids"].shape[1]:], skip_special_tokens=False))
Violet, how do you feel about London?
That is a most distressing subject. The present moment is drawing near. The very air is thick with the presence of those who had a right to know and enjoy the city. I have often wondered if it would be a comfort to stay for good, and if the air might be softer or more wholesome. It has a rather solemn aspect now.
Model weights and code in this repository are released under CC0 1.0 (public domain dedication).
violet.png is © @rose.grtqndl (Instagram). Used and redistributed with permission; copyright remains with the artist.
You may contact me on X or anywhere else by searching for my handle
@misc{violet2026,
author = Zakarth,
title = {Violet: Victorian Language Models},
year = {2026},
publisher = {HuggingFace},
url = {https://huggingface.co/Zakarth/violet-1b4-chat}
}
Violet 160M Chat — Miss Violet Hartwell (London, 1899)
0
7 commits
1 linked in READMEs
updated Feb 3, 2026
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 unfamiliar with modern society and events (with occasional OCR/synthetic artifacts—see Known Issues). In practice she should be witty, quirky, and delightfully charming. Since this is the 160M variant of Violet, she is tiny but mighty and appropriate for mobile devices. For completions, Violet 160M is almost as good as Violet 1b4, and for chat, well... It's fun at least. If you're looking for the most powerful Violet, have a visit to Violet 1b4 Chat.
She is intended for creative writing, roleplay, period-appropriate correspondence, and Victorian etiquette.
GPTNeoXForCausalLMGPTNeoXTokenizerGood for
Not good for
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:
Violet 160M was built on a corpus spanning 1800–1899 mostly sourced from Project Gutenberg. Consequently she has a very strong narrative presence.
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.
Zakarth/violet-160m (base/completion for 160M series)Zakarth/violet-1b4 (base/completion)Zakarth/violet-1b4-chat-onnx (WebGPU INT8)This model was trained to generate a mood line + assistant tag + response after <|violet_mood|>.
Use this structure:
<|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:
{mood text}
<|assistant|>
{response...}
<|endoftext|>
Violet 160M uses a GPT-NeoX / Pythia-style tokenizer.
Recommended IDs for generation:
Special tokens used during training (typical IDs from training config):
!! Do not mix tokenizers from other Violet variants (e.g. 1.4B) with this model.
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
repo = "Zakarth/violet-160m-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
(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|>
Describe a London street at twilight.
<|violet_mood|>
"""
inputs = tok(prompt, return_tensors="pt", add_special_tokens=False)
# Filter out token_type_ids if present
inputs = {k: v.to(model.device) for k, v in inputs.items() if k in ['input_ids', 'attention_mask']}
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=0,
pad_token_id=50277,
)
print(tok.decode(out[0][inputs["input_ids"].shape[1]:], skip_special_tokens=False))
Violet, how do you feel about London?
That is a most distressing subject. The present moment is drawing near. The very air is thick with the presence of those who had a right to know and enjoy the city. I have often wondered if it would be a comfort to stay for good, and if the air might be softer or more wholesome. It has a rather solemn aspect now.
Model weights and code in this repository are released under CC0 1.0 (public domain dedication).
violet.png is © @rose.grtqndl (Instagram). Used and redistributed with permission; copyright remains with the artist.
You may contact me on X or anywhere else by searching for my handle
@misc{violet2026,
author = Zakarth,
title = {Violet: Victorian Language Models},
year = {2026},
publisher = {HuggingFace},
url = {https://huggingface.co/Zakarth/violet-1b4-chat}
}