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README.md

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----
-base_model: meta-llama/Llama-3.2-3b
-datasets:
-- 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
-language:
-- en
-library_name: transformers
-license: llama3.2
-pipeline_tag: text-generation
-tags:
-- 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. This was a test run at a very low amount of steps, do not expect the model to behave fully uncensored.
-
-## Training Details
-- Base Model: Llama 3.2 3B
-- Training Framework: Unsloth
-- Training Type: LoRA Fine-tuning
-- Training Steps: 1000
-- 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
-
-## Training Data
-Combined and processed datasets including:
-- [FineTome-100k](https://huggingface.co/datasets/mlabonne/FineTome-100k) - General instruction following
-- [Orca Math Word Problems](https://huggingface.co/datasets/microsoft/orca-math-word-problems-200k) - Mathematics
-- [CodeFeedback](https://huggingface.co/datasets/m-a-p/CodeFeedback-Filtered-Instruction) - Code feedback
-- [Dolphin Coder](https://huggingface.co/datasets/cognitivecomputations/dolphin-coder) - Code generation
-- [Math GPT-4o](https://huggingface.co/datasets/PawanKrd/math-gpt-4o-200k) - Advanced mathematics
+---
+base_model: meta-llama/Llama-3.2-3b
+datasets:
+- 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
+language:
+- en
+library_name: transformers
+license: llama3.2
+pipeline_tag: text-generation
+tags:
+- 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: 2000
+- 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
+
+## Training Data
+Combined and processed datasets including:
+- [FineTome-100k](https://huggingface.co/datasets/mlabonne/FineTome-100k) - General instruction following
+- [Orca Math Word Problems](https://huggingface.co/datasets/microsoft/orca-math-word-problems-200k) - Mathematics
+- [CodeFeedback](https://huggingface.co/datasets/m-a-p/CodeFeedback-Filtered-Instruction) - Code feedback
+- [Dolphin Coder](https://huggingface.co/datasets/cognitivecomputations/dolphin-coder) - Code generation
+- [Math GPT-4o](https://huggingface.co/datasets/PawanKrd/math-gpt-4o-200k) - Advanced mathematics
 - [Jenna Uncensored](https://huggingface.co/datasets/V3N0M/Jenna-50K-Alpaca-Uncensored) - Uncensored conversations