metadata
license: mit
datasets:
- mlabonne/orpo-dpo-mix-40k
language:
- en
tags:
- ORPO
- TensorBlock
- GGUF
base_model: Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO
Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO - GGUF
This repo contains GGUF format model files for Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.
Prompt template
<|user|>
{prompt}<|end|>
<|assistant|>
Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| Barcenas-14b-Phi-3-medium-ORPO-Q2_K.gguf | Q2_K | 4.847 GB | smallest, significant quality loss - not recommended for most purposes |
| Barcenas-14b-Phi-3-medium-ORPO-Q3_K_S.gguf | Q3_K_S | 5.648 GB | very small, high quality loss |
| Barcenas-14b-Phi-3-medium-ORPO-Q3_K_M.gguf | Q3_K_M | 6.287 GB | very small, high quality loss |
| Barcenas-14b-Phi-3-medium-ORPO-Q3_K_L.gguf | Q3_K_L | 6.844 GB | small, substantial quality loss |
| Barcenas-14b-Phi-3-medium-ORPO-Q4_0.gguf | Q4_0 | 7.355 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| Barcenas-14b-Phi-3-medium-ORPO-Q4_K_S.gguf | Q4_K_S | 7.411 GB | small, greater quality loss |
| Barcenas-14b-Phi-3-medium-ORPO-Q4_K_M.gguf | Q4_K_M | 7.827 GB | medium, balanced quality - recommended |
| Barcenas-14b-Phi-3-medium-ORPO-Q5_0.gguf | Q5_0 | 8.961 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| Barcenas-14b-Phi-3-medium-ORPO-Q5_K_S.gguf | Q5_K_S | 8.961 GB | large, low quality loss - recommended |
| Barcenas-14b-Phi-3-medium-ORPO-Q5_K_M.gguf | Q5_K_M | 9.204 GB | large, very low quality loss - recommended |
| Barcenas-14b-Phi-3-medium-ORPO-Q6_K.gguf | Q6_K | 10.667 GB | very large, extremely low quality loss |
| Barcenas-14b-Phi-3-medium-ORPO-Q8_0.gguf | Q8_0 | 13.816 GB | very large, extremely low quality loss - not recommended |
Downloading instruction
Command line
Firstly, install Huggingface Client
pip install -U "huggingface_hub[cli]"
Then, downoad the individual model file the a local directory
huggingface-cli download tensorblock/Barcenas-14b-Phi-3-medium-ORPO-GGUF --include "Barcenas-14b-Phi-3-medium-ORPO-Q2_K.gguf" --local-dir MY_LOCAL_DIR
If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:
huggingface-cli download tensorblock/Barcenas-14b-Phi-3-medium-ORPO-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'