GGUF
TensorBlock
GGUF
Inference Endpoints
Edit model card
TensorBlock

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

heegyu/WizardVicuna-open-llama-3b-v2 - GGUF

This repo contains GGUF format model files for heegyu/WizardVicuna-open-llama-3b-v2.

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
WizardVicuna-open-llama-3b-v2-Q2_K.gguf Q2_K 1.844 GB smallest, significant quality loss - not recommended for most purposes
WizardVicuna-open-llama-3b-v2-Q3_K_S.gguf Q3_K_S 1.844 GB very small, high quality loss
WizardVicuna-open-llama-3b-v2-Q3_K_M.gguf Q3_K_M 1.992 GB very small, high quality loss
WizardVicuna-open-llama-3b-v2-Q3_K_L.gguf Q3_K_L 2.062 GB small, substantial quality loss
WizardVicuna-open-llama-3b-v2-Q4_0.gguf Q4_0 1.844 GB legacy; small, very high quality loss - prefer using Q3_K_M
WizardVicuna-open-llama-3b-v2-Q4_K_S.gguf Q4_K_S 2.238 GB small, greater quality loss
WizardVicuna-open-llama-3b-v2-Q4_K_M.gguf Q4_K_M 2.403 GB medium, balanced quality - recommended
WizardVicuna-open-llama-3b-v2-Q5_0.gguf Q5_0 2.231 GB legacy; medium, balanced quality - prefer using Q4_K_M
WizardVicuna-open-llama-3b-v2-Q5_K_S.gguf Q5_K_S 2.424 GB large, low quality loss - recommended
WizardVicuna-open-llama-3b-v2-Q5_K_M.gguf Q5_K_M 2.568 GB large, very low quality loss - recommended
WizardVicuna-open-llama-3b-v2-Q6_K.gguf Q6_K 3.392 GB very large, extremely low quality loss
WizardVicuna-open-llama-3b-v2-Q8_0.gguf Q8_0 3.392 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/WizardVicuna-open-llama-3b-v2-GGUF --include "WizardVicuna-open-llama-3b-v2-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/WizardVicuna-open-llama-3b-v2-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
172
GGUF
Model size
3.43B params
Architecture
llama

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Inference API
Unable to determine this model's library. Check the docs .

Model tree for tensorblock/WizardVicuna-open-llama-3b-v2-GGUF

Quantized
(1)
this model

Dataset used to train tensorblock/WizardVicuna-open-llama-3b-v2-GGUF