TensorBlock

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

cmarkea/bloomz-7b1-mt-sft-chat - GGUF

This repo contains GGUF format model files for cmarkea/bloomz-7b1-mt-sft-chat.

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

Prompt template


Model file specification

Filename Quant type File Size Description
bloomz-7b1-mt-sft-chat-Q2_K.gguf Q2_K 3.201 GB smallest, significant quality loss - not recommended for most purposes
bloomz-7b1-mt-sft-chat-Q3_K_S.gguf Q3_K_S 3.631 GB very small, high quality loss
bloomz-7b1-mt-sft-chat-Q3_K_M.gguf Q3_K_M 4.137 GB very small, high quality loss
bloomz-7b1-mt-sft-chat-Q3_K_L.gguf Q3_K_L 4.422 GB small, substantial quality loss
bloomz-7b1-mt-sft-chat-Q4_0.gguf Q4_0 4.505 GB legacy; small, very high quality loss - prefer using Q3_K_M
bloomz-7b1-mt-sft-chat-Q4_K_S.gguf Q4_K_S 4.529 GB small, greater quality loss
bloomz-7b1-mt-sft-chat-Q4_K_M.gguf Q4_K_M 4.907 GB medium, balanced quality - recommended
bloomz-7b1-mt-sft-chat-Q5_0.gguf Q5_0 5.328 GB legacy; medium, balanced quality - prefer using Q4_K_M
bloomz-7b1-mt-sft-chat-Q5_K_S.gguf Q5_K_S 5.328 GB large, low quality loss - recommended
bloomz-7b1-mt-sft-chat-Q5_K_M.gguf Q5_K_M 5.631 GB large, very low quality loss - recommended
bloomz-7b1-mt-sft-chat-Q6_K.gguf Q6_K 6.202 GB very large, extremely low quality loss
bloomz-7b1-mt-sft-chat-Q8_0.gguf Q8_0 8.028 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/bloomz-7b1-mt-sft-chat-GGUF --include "bloomz-7b1-mt-sft-chat-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/bloomz-7b1-mt-sft-chat-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
344
GGUF
Model size
8.1B params
Architecture
bloom

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for tensorblock/bloomz-7b1-mt-sft-chat-GGUF

Quantized
(1)
this model

Datasets used to train tensorblock/bloomz-7b1-mt-sft-chat-GGUF