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Moxoff-Phi3Mini-PPO-GGUF

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metadata
license: mit
language:
  - en
library_name: transformers
tags:
  - ppo
  - phi3
  - chatml
  - TensorBlock
  - GGUF
datasets: argilla/ultrafeedback-binarized-preferences-cleaned
metrics:
  - hellaswag
  - arc_challenge
  - m_mmlu 5 shot
base_model: MoxoffSpA/Moxoff-Phi3Mini-PPO
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MoxoffSpA/Moxoff-Phi3Mini-PPO - GGUF

This repo contains GGUF format model files for MoxoffSpA/Moxoff-Phi3Mini-PPO.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.

Prompt template 

<s><|user|>
{prompt}<|end|>
<|assistant|>

Model file specification

Filename Quant type File Size Description
Moxoff-Phi3Mini-PPO-Q2_K.gguf Q2_K 1.319 GB smallest, significant quality loss - not recommended for most purposes
Moxoff-Phi3Mini-PPO-Q3_K_S.gguf Q3_K_S 1.566 GB very small, high quality loss
Moxoff-Phi3Mini-PPO-Q3_K_M.gguf Q3_K_M 1.821 GB very small, high quality loss
Moxoff-Phi3Mini-PPO-Q3_K_L.gguf Q3_K_L 1.944 GB small, substantial quality loss
Moxoff-Phi3Mini-PPO-Q4_0.gguf Q4_0 2.027 GB legacy; small, very high quality loss - prefer using Q3_K_M
Moxoff-Phi3Mini-PPO-Q4_K_S.gguf Q4_K_S 2.038 GB small, greater quality loss
Moxoff-Phi3Mini-PPO-Q4_K_M.gguf Q4_K_M 2.229 GB medium, balanced quality - recommended
Moxoff-Phi3Mini-PPO-Q5_0.gguf Q5_0 2.460 GB legacy; medium, balanced quality - prefer using Q4_K_M
Moxoff-Phi3Mini-PPO-Q5_K_S.gguf Q5_K_S 2.460 GB large, low quality loss - recommended
Moxoff-Phi3Mini-PPO-Q5_K_M.gguf Q5_K_M 2.622 GB large, very low quality loss - recommended
Moxoff-Phi3Mini-PPO-Q6_K.gguf Q6_K 2.920 GB very large, extremely low quality loss
Moxoff-Phi3Mini-PPO-Q8_0.gguf Q8_0 3.782 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/Moxoff-Phi3Mini-PPO-GGUF --include "Moxoff-Phi3Mini-PPO-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/Moxoff-Phi3Mini-PPO-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'