Hugging Face's logo

tensorblock
/
aya-expanse-8b-GGUF

Transformers
GGUF
TensorBlock
GGUF
conversational
Model card Files Community
aya-expanse-8b-GGUF / README.md
morriszms's picture
morriszms
Upload folder using huggingface_hub
a235f6f verified
preview code
|
raw
history blame contribute delete
5.45 kB
metadata
inference: false
library_name: transformers
language:
  - en
  - fr
  - de
  - es
  - it
  - pt
  - ja
  - ko
  - zh
  - ar
  - el
  - fa
  - pl
  - id
  - cs
  - he
  - hi
  - nl
  - ro
  - ru
  - tr
  - uk
  - vi
license: cc-by-nc-4.0
extra_gated_prompt: >-
  By submitting this form, you agree to the [License
  Agreement](https://cohere.com/c4ai-cc-by-nc-license)  and acknowledge that the
  information you provide will be collected, used, and shared in accordance with
  Cohere’s [Privacy Policy]( https://cohere.com/privacy). You’ll receive email
  updates about C4AI and Cohere research, events, products and services. You can
  unsubscribe at any time.
extra_gated_fields:
  Name: text
  Affiliation: text
  Country: country
  I agree to use this model for non-commercial use ONLY: checkbox
tags:
  - TensorBlock
  - GGUF
base_model: CohereForAI/aya-expanse-8b
TensorBlock

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

CohereForAI/aya-expanse-8b - GGUF

This repo contains GGUF format model files for CohereForAI/aya-expanse-8b.

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

Prompt template 

<BOS_TOKEN><|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>{system_prompt}<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|USER_TOKEN|>{prompt}<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>

Model file specification

Filename Quant type File Size Description
aya-expanse-8b-Q2_K.gguf Q2_K 3.438 GB smallest, significant quality loss - not recommended for most purposes
aya-expanse-8b-Q3_K_S.gguf Q3_K_S 3.871 GB very small, high quality loss
aya-expanse-8b-Q3_K_M.gguf Q3_K_M 4.225 GB very small, high quality loss
aya-expanse-8b-Q3_K_L.gguf Q3_K_L 4.528 GB small, substantial quality loss
aya-expanse-8b-Q4_0.gguf Q4_0 4.797 GB legacy; small, very high quality loss - prefer using Q3_K_M
aya-expanse-8b-Q4_K_S.gguf Q4_K_S 4.829 GB small, greater quality loss
aya-expanse-8b-Q4_K_M.gguf Q4_K_M 5.057 GB medium, balanced quality - recommended
aya-expanse-8b-Q5_0.gguf Q5_0 5.670 GB legacy; medium, balanced quality - prefer using Q4_K_M
aya-expanse-8b-Q5_K_S.gguf Q5_K_S 5.670 GB large, low quality loss - recommended
aya-expanse-8b-Q5_K_M.gguf Q5_K_M 5.804 GB large, very low quality loss - recommended
aya-expanse-8b-Q6_K.gguf Q6_K 6.597 GB very large, extremely low quality loss
aya-expanse-8b-Q8_0.gguf Q8_0 8.541 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/aya-expanse-8b-GGUF --include "aya-expanse-8b-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/aya-expanse-8b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'