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metadata
license: bigscience-bloom-rail-1.0
datasets:
  - ehartford/wizard_vicuna_70k_unfiltered
  - shahules786/orca-chat
  - timdettmers/openassistant-guanaco
  - laion/OIG
language:
  - fr
  - en
library_name: transformers
pipeline_tag: text-generation
inference:
  parameters:
    max_new_tokens: 128
widget:
  - text: </s>Bonjour, qui es-tu ?<s>
  - text: </s>Hello, who are you?<s>
tags:
  - TensorBlock
  - GGUF
base_model: cmarkea/bloomz-3b-sft-chat
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cmarkea/bloomz-3b-sft-chat - GGUF

This repo contains GGUF format model files for cmarkea/bloomz-3b-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-3b-sft-chat-Q2_K.gguf Q2_K 1.516 GB smallest, significant quality loss - not recommended for most purposes
bloomz-3b-sft-chat-Q3_K_S.gguf Q3_K_S 1.707 GB very small, high quality loss
bloomz-3b-sft-chat-Q3_K_M.gguf Q3_K_M 1.905 GB very small, high quality loss
bloomz-3b-sft-chat-Q3_K_L.gguf Q3_K_L 2.016 GB small, substantial quality loss
bloomz-3b-sft-chat-Q4_0.gguf Q4_0 2.079 GB legacy; small, very high quality loss - prefer using Q3_K_M
bloomz-3b-sft-chat-Q4_K_S.gguf Q4_K_S 2.088 GB small, greater quality loss
bloomz-3b-sft-chat-Q4_K_M.gguf Q4_K_M 2.235 GB medium, balanced quality - recommended
bloomz-3b-sft-chat-Q5_0.gguf Q5_0 2.428 GB legacy; medium, balanced quality - prefer using Q4_K_M
bloomz-3b-sft-chat-Q5_K_S.gguf Q5_K_S 2.428 GB large, low quality loss - recommended
bloomz-3b-sft-chat-Q5_K_M.gguf Q5_K_M 2.546 GB large, very low quality loss - recommended
bloomz-3b-sft-chat-Q6_K.gguf Q6_K 2.799 GB very large, extremely low quality loss
bloomz-3b-sft-chat-Q8_0.gguf Q8_0 3.621 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-3b-sft-chat-GGUF --include "bloomz-3b-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-3b-sft-chat-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'