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Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
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Tiny-Knight-1.1b-v0.1 - GGUF
- Model creator: https://huggingface.co/phanerozoic/
- Original model: https://huggingface.co/phanerozoic/Tiny-Knight-1.1b-v0.1/
| Name | Quant method | Size |
| ---- | ---- | ---- |
| [Tiny-Knight-1.1b-v0.1.Q2_K.gguf](https://huggingface.co/RichardErkhov/phanerozoic_-_Tiny-Knight-1.1b-v0.1-gguf/blob/main/Tiny-Knight-1.1b-v0.1.Q2_K.gguf) | Q2_K | 0.4GB |
| [Tiny-Knight-1.1b-v0.1.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/phanerozoic_-_Tiny-Knight-1.1b-v0.1-gguf/blob/main/Tiny-Knight-1.1b-v0.1.IQ3_XS.gguf) | IQ3_XS | 0.44GB |
| [Tiny-Knight-1.1b-v0.1.IQ3_S.gguf](https://huggingface.co/RichardErkhov/phanerozoic_-_Tiny-Knight-1.1b-v0.1-gguf/blob/main/Tiny-Knight-1.1b-v0.1.IQ3_S.gguf) | IQ3_S | 0.47GB |
| [Tiny-Knight-1.1b-v0.1.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/phanerozoic_-_Tiny-Knight-1.1b-v0.1-gguf/blob/main/Tiny-Knight-1.1b-v0.1.Q3_K_S.gguf) | Q3_K_S | 0.47GB |
| [Tiny-Knight-1.1b-v0.1.IQ3_M.gguf](https://huggingface.co/RichardErkhov/phanerozoic_-_Tiny-Knight-1.1b-v0.1-gguf/blob/main/Tiny-Knight-1.1b-v0.1.IQ3_M.gguf) | IQ3_M | 0.48GB |
| [Tiny-Knight-1.1b-v0.1.Q3_K.gguf](https://huggingface.co/RichardErkhov/phanerozoic_-_Tiny-Knight-1.1b-v0.1-gguf/blob/main/Tiny-Knight-1.1b-v0.1.Q3_K.gguf) | Q3_K | 0.51GB |
| [Tiny-Knight-1.1b-v0.1.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/phanerozoic_-_Tiny-Knight-1.1b-v0.1-gguf/blob/main/Tiny-Knight-1.1b-v0.1.Q3_K_M.gguf) | Q3_K_M | 0.51GB |
| [Tiny-Knight-1.1b-v0.1.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/phanerozoic_-_Tiny-Knight-1.1b-v0.1-gguf/blob/main/Tiny-Knight-1.1b-v0.1.Q3_K_L.gguf) | Q3_K_L | 0.55GB |
| [Tiny-Knight-1.1b-v0.1.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/phanerozoic_-_Tiny-Knight-1.1b-v0.1-gguf/blob/main/Tiny-Knight-1.1b-v0.1.IQ4_XS.gguf) | IQ4_XS | 0.57GB |
| [Tiny-Knight-1.1b-v0.1.Q4_0.gguf](https://huggingface.co/RichardErkhov/phanerozoic_-_Tiny-Knight-1.1b-v0.1-gguf/blob/main/Tiny-Knight-1.1b-v0.1.Q4_0.gguf) | Q4_0 | 0.59GB |
| [Tiny-Knight-1.1b-v0.1.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/phanerozoic_-_Tiny-Knight-1.1b-v0.1-gguf/blob/main/Tiny-Knight-1.1b-v0.1.IQ4_NL.gguf) | IQ4_NL | 0.6GB |
| [Tiny-Knight-1.1b-v0.1.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/phanerozoic_-_Tiny-Knight-1.1b-v0.1-gguf/blob/main/Tiny-Knight-1.1b-v0.1.Q4_K_S.gguf) | Q4_K_S | 0.6GB |
| [Tiny-Knight-1.1b-v0.1.Q4_K.gguf](https://huggingface.co/RichardErkhov/phanerozoic_-_Tiny-Knight-1.1b-v0.1-gguf/blob/main/Tiny-Knight-1.1b-v0.1.Q4_K.gguf) | Q4_K | 0.62GB |
| [Tiny-Knight-1.1b-v0.1.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/phanerozoic_-_Tiny-Knight-1.1b-v0.1-gguf/blob/main/Tiny-Knight-1.1b-v0.1.Q4_K_M.gguf) | Q4_K_M | 0.62GB |
| [Tiny-Knight-1.1b-v0.1.Q4_1.gguf](https://huggingface.co/RichardErkhov/phanerozoic_-_Tiny-Knight-1.1b-v0.1-gguf/blob/main/Tiny-Knight-1.1b-v0.1.Q4_1.gguf) | Q4_1 | 0.65GB |
| [Tiny-Knight-1.1b-v0.1.Q5_0.gguf](https://huggingface.co/RichardErkhov/phanerozoic_-_Tiny-Knight-1.1b-v0.1-gguf/blob/main/Tiny-Knight-1.1b-v0.1.Q5_0.gguf) | Q5_0 | 0.71GB |
| [Tiny-Knight-1.1b-v0.1.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/phanerozoic_-_Tiny-Knight-1.1b-v0.1-gguf/blob/main/Tiny-Knight-1.1b-v0.1.Q5_K_S.gguf) | Q5_K_S | 0.71GB |
| [Tiny-Knight-1.1b-v0.1.Q5_K.gguf](https://huggingface.co/RichardErkhov/phanerozoic_-_Tiny-Knight-1.1b-v0.1-gguf/blob/main/Tiny-Knight-1.1b-v0.1.Q5_K.gguf) | Q5_K | 0.73GB |
| [Tiny-Knight-1.1b-v0.1.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/phanerozoic_-_Tiny-Knight-1.1b-v0.1-gguf/blob/main/Tiny-Knight-1.1b-v0.1.Q5_K_M.gguf) | Q5_K_M | 0.73GB |
| [Tiny-Knight-1.1b-v0.1.Q5_1.gguf](https://huggingface.co/RichardErkhov/phanerozoic_-_Tiny-Knight-1.1b-v0.1-gguf/blob/main/Tiny-Knight-1.1b-v0.1.Q5_1.gguf) | Q5_1 | 0.77GB |
| [Tiny-Knight-1.1b-v0.1.Q6_K.gguf](https://huggingface.co/RichardErkhov/phanerozoic_-_Tiny-Knight-1.1b-v0.1-gguf/blob/main/Tiny-Knight-1.1b-v0.1.Q6_K.gguf) | Q6_K | 0.84GB |
| [Tiny-Knight-1.1b-v0.1.Q8_0.gguf](https://huggingface.co/RichardErkhov/phanerozoic_-_Tiny-Knight-1.1b-v0.1-gguf/blob/main/Tiny-Knight-1.1b-v0.1.Q8_0.gguf) | Q8_0 | 1.09GB |
Original model description:
---
license: cc-by-nc-4.0
language:
- en
widget:
- text: |
Hail and well met! Pray, what kind of food do ye enjoy supping upon?
example_title: "The Code of Chivalry"
---
![tinyknight.png](https://huggingface.co/phanerozoic/Tiny-Knight-1.1b-v0.1/resolve/bbfc665ce3af9d4d73e199b89144b30d668f50aa/tinyknight.png)
# Tiny Knight-1.1b-v0.1
Tiny Knight-1.1b-v0.1 is a specialized language model crafted for generating knight and medieval-themed content. This iteration is built upon the foundations of TinyLlama-1.1B-Chat-v1.0, tailored to operate within environments constrained by computing resources.
### Performance
While this model excels in creating knight-themed narratives, its specialization, however, limits its effectiveness in broader language tasks, especially those requiring detailed knowledge outside the medieval theme.
### Direct Use
Tiny Knight-1.1b-v0.1 is particularly suited for generating content within medieval, knightly, or fantasy settings, ideal for storytelling, educational content, and thematic exploration. It is not recommended for general-purpose tasks or technical domains.
### Context Setting and Interaction Guidelines
Given its specialized nature, Tiny Knight-1.1b-v0.1 benefits significantly from detailed context-setting. Providing a rich thematic backdrop in prompts enhances the model's performance, guiding it to generate more accurate and immersive content.
### Training Data
Incorporates a dataset focused on knightly tales, medieval history, and literature, derived from the foundational TinyLlama-1.1B model.
### Custom Stopping Strings
Custom stopping strings were used to refine output quality:
- "},"
- "User:"
- "You:"
- "\nUser"
- "\nUser:"
- "me:"
- "user"
- "\n"
### Training Hyperparameters and Fine-Tuning Details
- **Base Model Name**: TinyLlama-1.1B-Chat-v1.0
- **Base Model Class**: LlamaForCausalLM
- **Projections**: gate, down, up, q, k, v, o
- **LoRA Rank**: 16
- **LoRA Alpha**: 32
- **True Batch Size**: 32
- **Gradient Accumulation Steps**: 1
- **Epochs**: 0.18
- **Learning Rate**: 3e-4
- **LR Scheduler**: Linear
- **Step**: 75
- **Loss**: 1.87
### Limitations
While adept at producing themed content, Tiny Knight-1.1b-v0.1's applicability is limited outside its specialized domain of knights and medieval themes.
### Summary
Tiny Knight-1.1b-v0.1 represents a significant advancement in thematic language models, offering a specialized tool for exploring the medieval era. Its emphasis on context for optimal performance and the use of custom stopping strings make it a sophisticated asset for generating historically rich content.
### Acknowledgments
Special thanks to the TinyLlama-1.1B team, whose pioneering work laid the groundwork for the creation of Tiny Knight-1.1b-v0.1.