# haramberesearch/llama2_xs_460M_uncensored-GGUF

Quantized GGUF model files for [llama2_xs_460M_uncensored](https://huggingface.co/haramberesearch/llama2_xs_460M_uncensored) from [haramberesearch](https://huggingface.co/haramberesearch)


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [llama2_xs_460m_uncensored.fp16.gguf](https://huggingface.co/afrideva/llama2_xs_460M_uncensored-GGUF/resolve/main/llama2_xs_460m_uncensored.fp16.gguf) | fp16 | 925.45 MB  |
| [llama2_xs_460m_uncensored.q2_k.gguf](https://huggingface.co/afrideva/llama2_xs_460M_uncensored-GGUF/resolve/main/llama2_xs_460m_uncensored.q2_k.gguf) | q2_k | 212.56 MB  |
| [llama2_xs_460m_uncensored.q3_k_m.gguf](https://huggingface.co/afrideva/llama2_xs_460M_uncensored-GGUF/resolve/main/llama2_xs_460m_uncensored.q3_k_m.gguf) | q3_k_m | 238.87 MB  |
| [llama2_xs_460m_uncensored.q4_k_m.gguf](https://huggingface.co/afrideva/llama2_xs_460M_uncensored-GGUF/resolve/main/llama2_xs_460m_uncensored.q4_k_m.gguf) | q4_k_m | 288.52 MB  |
| [llama2_xs_460m_uncensored.q5_k_m.gguf](https://huggingface.co/afrideva/llama2_xs_460M_uncensored-GGUF/resolve/main/llama2_xs_460m_uncensored.q5_k_m.gguf) | q5_k_m | 333.29 MB  |
| [llama2_xs_460m_uncensored.q6_k.gguf](https://huggingface.co/afrideva/llama2_xs_460M_uncensored-GGUF/resolve/main/llama2_xs_460m_uncensored.q6_k.gguf) | q6_k | 380.87 MB  |
| [llama2_xs_460m_uncensored.q8_0.gguf](https://huggingface.co/afrideva/llama2_xs_460M_uncensored-GGUF/resolve/main/llama2_xs_460m_uncensored.q8_0.gguf) | q8_0 | 492.67 MB  |



## Original Model Card:
# llama2_xs_460M_uncensored
## Model Details

[llama2_xs_460M_experimental](https://huggingface.co/ahxt/llama2_xs_460M_experimental) DPO finedtuned to remove alignment (3 epochs QLoRa).

### Model Description

<!-- Provide a longer summary of what this model is. -->

- **Developed by:** Harambe Research
- **Model type:** llama2
- **Finetuned from model:** [llama2_xs_460M_experimental](https://huggingface.co/ahxt/llama2_xs_460M_experimental)

### Out-of-Scope Use

Don't use this to do bad things. Bad things are bad.
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->

### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

Users (both direct and downstream) should be aware of the risks, biases and limitations of the model. 

## How to Get Started with the Model

https://github.com/oobabooga/text-generation-webui
{"tags": ["gguf", "ggml", "quantized", "q2_k", "q3_k_m", "q4_k_m", "q5_k_m", "q6_k", "q8_0"], "datasets": ["unalignment/toxic-dpo-v0.1"], "model_name": "llama2_xs_460M_uncensored", "base_model": "haramberesearch/llama2_xs_460M_uncensored", "inference": false, "model_creator": "haramberesearch", "pipeline_tag": "text-generation", "quantized_by": "afrideva"}
gguf ggml quantized q2_k q3_k_m q4_k_m q5_k_m q6_k q8_0 text-generation dataset:unalignment/toxic-dpo-v0.1 base_model:haramberesearch/llama2_xs_460M_uncensored region:us