morriszms's picture
Update README.md
e0d2502 verified
metadata
license: apache-2.0
tags:
  - Composer
  - MosaicML
  - llm-foundry
  - StreamingDatasets
  - TensorBlock
  - GGUF
datasets:
  - mc4
  - c4
  - togethercomputer/RedPajama-Data-1T
  - bigcode/the-stack
  - allenai/s2orc
inference: false
base_model: mosaicml/mpt-7b-8k
TensorBlock

Website Twitter Discord GitHub Telegram

mosaicml/mpt-7b-8k - GGUF

This repo contains GGUF format model files for mosaicml/mpt-7b-8k.

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

Our projects

Forge
Forge Project
An OpenAI-compatible multi-provider routing layer.
πŸš€ Try it now! πŸš€
Awesome MCP Servers TensorBlock Studio
MCP Servers Studio
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
mpt-7b-8k-Q2_K.gguf Q2_K 2.559 GB smallest, significant quality loss - not recommended for most purposes
mpt-7b-8k-Q3_K_S.gguf Q3_K_S 2.941 GB very small, high quality loss
mpt-7b-8k-Q3_K_M.gguf Q3_K_M 3.528 GB very small, high quality loss
mpt-7b-8k-Q3_K_L.gguf Q3_K_L 3.847 GB small, substantial quality loss
mpt-7b-8k-Q4_0.gguf Q4_0 3.796 GB legacy; small, very high quality loss - prefer using Q3_K_M
mpt-7b-8k-Q4_K_S.gguf Q4_K_S 3.830 GB small, greater quality loss
mpt-7b-8k-Q4_K_M.gguf Q4_K_M 4.274 GB medium, balanced quality - recommended
mpt-7b-8k-Q5_0.gguf Q5_0 4.601 GB legacy; medium, balanced quality - prefer using Q4_K_M
mpt-7b-8k-Q5_K_S.gguf Q5_K_S 4.601 GB large, low quality loss - recommended
mpt-7b-8k-Q5_K_M.gguf Q5_K_M 4.958 GB large, very low quality loss - recommended
mpt-7b-8k-Q6_K.gguf Q6_K 5.457 GB very large, extremely low quality loss
mpt-7b-8k-Q8_0.gguf Q8_0 7.067 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/mosaicml_mpt-7b-8k-GGUF --include "mpt-7b-8k-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/mosaicml_mpt-7b-8k-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'