base_model, datasets, language, library_name, license, pipeline_tag, tags
| base_model |
datasets |
language |
library_name |
license |
pipeline_tag |
tags |
| meta-llama/Llama-3.2-3b |
| mlabonne/FineTome-100k |
| microsoft/orca-math-word-problems-200k |
| m-a-p/CodeFeedback-Filtered-Instruction |
| cognitivecomputations/dolphin-coder |
| PawanKrd/math-gpt-4o-200k |
| V3N0M/Jenna-50K-Alpaca-Uncensored |
|
|
transformers |
llama3.2 |
text-generation |
| llama |
| unsloth |
| uncensored |
| llama-3.2 |
| llama.cpp |
| gguf |
| inference |
|
Llama 3.2 3B Uncensored
This model is a fine-tuned version of Llama 3.2 3B trained by Carsen Klock, using multiple combined datasets and processed for uncensored responses.
Training Details
- Base Model: Llama 3.2 3B
- Training Framework: Unsloth
- Training Type: LoRA Fine-tuning
- Training Steps: 10000
- Batch Size: 2
- Learning Rate: 5e-6
- Gradient Accumulation Steps: 16
- Trained on 1 x NVIDIA RX 4080 SUPER
Available Formats
- GGUF (f16, q8_0, q5_k_m, q4_k_m)
- Merged 16-bit
Use Cases
- Mathematics problem solving
- Code generation and feedback
- General instruction following
- Uncensored responses
Use System Prompt to set the model to uncensored
Training Data
Combined and processed datasets including: