morriszms's picture
Upload folder using huggingface_hub
893ed8f verified
metadata
language:
  - en
library_name: transformers
pipeline_tag: text-generation
datasets:
  - ehartford/dolphin
  - Open-Orca/OpenOrca
  - garage-bAInd/Open-Platypus
tags:
  - llama-2
  - code
  - TensorBlock
  - GGUF
license: llama2
base_model: uukuguy/speechless-codellama-dolphin-orca-platypus-13b
TensorBlock

Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server

uukuguy/speechless-codellama-dolphin-orca-platypus-13b - GGUF

This repo contains GGUF format model files for uukuguy/speechless-codellama-dolphin-orca-platypus-13b.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5165.

Our projects

Awesome MCP Servers TensorBlock Studio
Project A Project B
A comprehensive collection of Model Context Protocol (MCP) servers. A lightweight, open, and extensible multi-LLM interaction studio.
πŸ‘€ See what we built πŸ‘€ πŸ‘€ See what we built πŸ‘€

Prompt template

Unable to determine prompt format automatically. Please check the original model repository for the correct prompt format.

Model file specification

Filename Quant type File Size Description
speechless-codellama-dolphin-orca-platypus-13b-Q2_K.gguf Q2_K 4.854 GB smallest, significant quality loss - not recommended for most purposes
speechless-codellama-dolphin-orca-platypus-13b-Q3_K_S.gguf Q3_K_S 5.659 GB very small, high quality loss
speechless-codellama-dolphin-orca-platypus-13b-Q3_K_M.gguf Q3_K_M 6.338 GB very small, high quality loss
speechless-codellama-dolphin-orca-platypus-13b-Q3_K_L.gguf Q3_K_L 6.930 GB small, substantial quality loss
speechless-codellama-dolphin-orca-platypus-13b-Q4_0.gguf Q4_0 7.366 GB legacy; small, very high quality loss - prefer using Q3_K_M
speechless-codellama-dolphin-orca-platypus-13b-Q4_K_S.gguf Q4_K_S 7.423 GB small, greater quality loss
speechless-codellama-dolphin-orca-platypus-13b-Q4_K_M.gguf Q4_K_M 7.866 GB medium, balanced quality - recommended
speechless-codellama-dolphin-orca-platypus-13b-Q5_0.gguf Q5_0 8.972 GB legacy; medium, balanced quality - prefer using Q4_K_M
speechless-codellama-dolphin-orca-platypus-13b-Q5_K_S.gguf Q5_K_S 8.972 GB large, low quality loss - recommended
speechless-codellama-dolphin-orca-platypus-13b-Q5_K_M.gguf Q5_K_M 9.230 GB large, very low quality loss - recommended
speechless-codellama-dolphin-orca-platypus-13b-Q6_K.gguf Q6_K 10.679 GB very large, extremely low quality loss
speechless-codellama-dolphin-orca-platypus-13b-Q8_0.gguf Q8_0 13.831 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/uukuguy_speechless-codellama-dolphin-orca-platypus-13b-GGUF --include "speechless-codellama-dolphin-orca-platypus-13b-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/uukuguy_speechless-codellama-dolphin-orca-platypus-13b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'