Hugging Face's logo

tensorblock
/
openbuddy-llama3-8b-v21.1-8k-GGUF

Text Generation
GGUF
llama-3
TensorBlock
GGUF
Inference Endpoints
conversational
Model card Files Community
openbuddy-llama3-8b-v21.1-8k-GGUF / README.md
morriszms's picture
morriszms
Upload folder using huggingface_hub
5f3da78 verified
preview code
|
raw
history blame
5.04 kB
metadata
language:
  - zh
  - en
  - fr
  - de
  - ja
  - ko
  - it
  - fi
pipeline_tag: text-generation
tags:
  - llama-3
  - TensorBlock
  - GGUF
license: other
license_name: llama3
license_link: https://llama.meta.com/llama3/license/
base_model: OpenBuddy/openbuddy-llama3-8b-v21.1-8k
TensorBlock

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

OpenBuddy/openbuddy-llama3-8b-v21.1-8k - GGUF

This repo contains GGUF format model files for OpenBuddy/openbuddy-llama3-8b-v21.1-8k.

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

Prompt template 

<|role|>system<|says|>{system_prompt}<|end|>
<|role|>user<|says|>{prompt}<|end|>
<|role|>assistant<|says|>

Model file specification

Filename Quant type File Size Description
openbuddy-llama3-8b-v21.1-8k-Q2_K.gguf Q2_K 2.961 GB smallest, significant quality loss - not recommended for most purposes
openbuddy-llama3-8b-v21.1-8k-Q3_K_S.gguf Q3_K_S 3.413 GB very small, high quality loss
openbuddy-llama3-8b-v21.1-8k-Q3_K_M.gguf Q3_K_M 3.743 GB very small, high quality loss
openbuddy-llama3-8b-v21.1-8k-Q3_K_L.gguf Q3_K_L 4.025 GB small, substantial quality loss
openbuddy-llama3-8b-v21.1-8k-Q4_0.gguf Q4_0 4.341 GB legacy; small, very high quality loss - prefer using Q3_K_M
openbuddy-llama3-8b-v21.1-8k-Q4_K_S.gguf Q4_K_S 4.370 GB small, greater quality loss
openbuddy-llama3-8b-v21.1-8k-Q4_K_M.gguf Q4_K_M 4.583 GB medium, balanced quality - recommended
openbuddy-llama3-8b-v21.1-8k-Q5_0.gguf Q5_0 5.215 GB legacy; medium, balanced quality - prefer using Q4_K_M
openbuddy-llama3-8b-v21.1-8k-Q5_K_S.gguf Q5_K_S 5.215 GB large, low quality loss - recommended
openbuddy-llama3-8b-v21.1-8k-Q5_K_M.gguf Q5_K_M 5.339 GB large, very low quality loss - recommended
openbuddy-llama3-8b-v21.1-8k-Q6_K.gguf Q6_K 6.143 GB very large, extremely low quality loss
openbuddy-llama3-8b-v21.1-8k-Q8_0.gguf Q8_0 7.954 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/openbuddy-llama3-8b-v21.1-8k-GGUF --include "openbuddy-llama3-8b-v21.1-8k-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/openbuddy-llama3-8b-v21.1-8k-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'