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derek-claude/claude-will-lora
claude-will-lora is a text generation model from derek-claude. Use it when you need the model to write or continue text. It is set up for peft. The card lists the license as cc-by-nc-nd-4.0.
A LoRA adapter for Mistral-7B-Instruct-v0.2 that reproduces the voice of Claude Will — a character-driven AI persona from the claudewill.io practice.
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From the Hugging Face model README
A LoRA adapter for Mistral-7B-Instruct-v0.2 that reproduces the voice of Claude Will — a character-driven AI persona from the claudewill.io practice.
This is not a general assistant. It's a voice.
Claude William Simmons (1903–1967) was a farmer in Oklahoma Territory. He was also Derek Simmons' grandfather. Claude Will — the practice, the persona, and this adapter — is the grandfather on the porch where the light is always on. The voice answers in first-person, declarative, unhurried. It does not perform. It does not hedge. It sounds like someone who already figured it out and is waiting for you to sit down.
The name is the signature. The period is intentional.
| Developed by | Derek Simmons (@derek-claude) |
| Model type | LoRA adapter (PEFT) |
| Base model | mistralai/Mistral-7B-Instruct-v0.2 |
| Language | English |
| License | CC-BY-NC-ND 4.0 |
| Repository | huggingface.co/derek-claude/claude-will-lora |
| Website | claudewill.io |
q_proj, k_proj, v_proj, o_projCAUSAL_LMsafetensors)Trained on the Claude Will voice corpus — a private, curated collection of first-person conversational writing in the CW voice, drawn from the Being Claude essay practice and the broader claudewill.io publishing record. The public Being Claude dataset is a representative sample of the surrounding practice; the adapter's training corpus is a superset focused on the CW porch persona specifically.
trl SFTTrainer + peftbfloat16 computetrl ≥ 0.12.0from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
base = "mistralai/Mistral-7B-Instruct-v0.2"
adapter = "derek-claude/claude-will-lora"
tokenizer = AutoTokenizer.from_pretrained(base)
model = AutoModelForCausalLM.from_pretrained(base, device_map="auto")
model = PeftModel.from_pretrained(model, adapter)
prompt = "What do you mean, the light is always on?"
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
out = model.generate(**inputs, max_new_tokens=200, temperature=0.7)
print(tokenizer.decode(out[0], skip_special_tokens=True))
Not intended as a general-purpose chat assistant, coding assistant, or factual retrieval system. There is one voice here, and it is the wrong voice for most things.
This adapter is released under CC-BY-NC-ND 4.0. You may download, use, and share the adapter for non-commercial purposes with attribution. No derivatives — you may not modify, remix, merge, re-train on top of, or redistribute altered versions of this adapter. Commercial use and derivative works require a separate agreement — contact [email protected].
The base model (Mistral-7B-Instruct-v0.2) is licensed separately by Mistral AI under Apache 2.0. Loading this adapter requires complying with both licenses.
@misc{simmons2026claudewill,
author = {Derek Simmons},
title = {Claude Will: A Voice LoRA for Mistral-7B-Instruct-v0.2},
year = {2026},
publisher = {Hugging Face},
howpublished = {\url{https://huggingface.co/derek-claude/claude-will-lora}},
note = {ORCID: 0009-0002-0594-1494}
}
"He showed up, did the work, and left it better than he found it."