---

base_model: "unsloth/Llama-3.2-1B-Instruct-bnb-4bit"

library_name: peft

pipeline_tag: text-generation

license: llama3.2

language:

• en

datasets:

• amkhrjee/blackadder-conversation

tags:

• base_model:adapter:unsloth/llama-3.2-1b-instruct-bnb-4bit
• lora
• sft
• trl
• unsloth
• peft
• roleplay
• character
• blackadder

---

Blackadder-1B

<img src="https://i.pinimg.com/736x/f9/1e/49/f91e497cff77c206c5ab68f25b092467.jpg" alt="Blackadder" width="300">

A fine-tuned Llama-3.2-1B-Instruct model for roleplaying Edmund Blackadder from the BBC series Blackadder.

> You: Do you have a plan?

> Blackadder: Yes, I do. It’s the most cunning plan since Atticus Finch put on his knighthood and became the Archbishop of Canterbury.

Model Details

• Developed by: amkhrjee
• Model type: Causal LM (LoRA adapter for instruction-tuned chat)
• Base model: unsloth/llama-3.2-1b-instruct-bnb-4bit (Llama 3.2 1B Instruct)
• Language: English
• License: Llama 3.2 Community License
• Finetuned with: Unsloth + TRL (PEFT/LoRA)

Training Details

Data

Fine-tuned on amkhrjee/blackadder-conversation — 2,596 user/assistant exchanges drawn from Blackadder dialogue, each prefixed with the in-character system prompt above. Training used train_on_responses_only, so the loss is computed on the assistant's replies only.

Hyperparameters

| | |

|---|---|

| Method | LoRA (rsLoRA) |

| Rank (r) | 128 |

| lora_alpha | 64 |

| lora_dropout | 0 |

| Target modules | all linear layers |

| Epochs | 3 |

| Effective batch size | 32 (4 × 8 grad accum) |

| Optimizer | adamw_8bit |

| Learning rate | 2e-4 (linear, 5 warmup steps) |

| Weight decay | 0.001 |

| Precision | bf16 |

| Seed | 42 |

| Trainable params | 90.2M / 1.33B (6.8%) |

@misc{blackadder1b,
  title  = {Blackadder-1B-GGUF: Llama-3.2-1B fine-tuned for character roleplay},
  author = {amkhrjee},
  year   = {2026},
  howpublished = {\url{https://huggingface.co/amkhrjee/blackadder-1B-GGUF}}
}