TensorBlock

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

elyza/ELYZA-japanese-Llama-2-13b-fast-instruct - GGUF

This repo contains GGUF format model files for elyza/ELYZA-japanese-Llama-2-13b-fast-instruct.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.

Prompt template


Model file specification

Filename Quant type File Size Description
ELYZA-japanese-Llama-2-13b-fast-instruct-Q2_K.gguf Q2_K 4.929 GB smallest, significant quality loss - not recommended for most purposes
ELYZA-japanese-Llama-2-13b-fast-instruct-Q3_K_S.gguf Q3_K_S 5.740 GB very small, high quality loss
ELYZA-japanese-Llama-2-13b-fast-instruct-Q3_K_M.gguf Q3_K_M 6.419 GB very small, high quality loss
ELYZA-japanese-Llama-2-13b-fast-instruct-Q3_K_L.gguf Q3_K_L 7.010 GB small, substantial quality loss
ELYZA-japanese-Llama-2-13b-fast-instruct-Q4_0.gguf Q4_0 7.455 GB legacy; small, very high quality loss - prefer using Q3_K_M
ELYZA-japanese-Llama-2-13b-fast-instruct-Q4_K_S.gguf Q4_K_S 7.513 GB small, greater quality loss
ELYZA-japanese-Llama-2-13b-fast-instruct-Q4_K_M.gguf Q4_K_M 7.955 GB medium, balanced quality - recommended
ELYZA-japanese-Llama-2-13b-fast-instruct-Q5_0.gguf Q5_0 9.070 GB legacy; medium, balanced quality - prefer using Q4_K_M
ELYZA-japanese-Llama-2-13b-fast-instruct-Q5_K_S.gguf Q5_K_S 9.070 GB large, low quality loss - recommended
ELYZA-japanese-Llama-2-13b-fast-instruct-Q5_K_M.gguf Q5_K_M 9.327 GB large, very low quality loss - recommended
ELYZA-japanese-Llama-2-13b-fast-instruct-Q6_K.gguf Q6_K 10.785 GB very large, extremely low quality loss
ELYZA-japanese-Llama-2-13b-fast-instruct-Q8_0.gguf Q8_0 13.968 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/ELYZA-japanese-Llama-2-13b-fast-instruct-GGUF --include "ELYZA-japanese-Llama-2-13b-fast-instruct-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/ELYZA-japanese-Llama-2-13b-fast-instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
1,001
GGUF
Model size
13.1B 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/ELYZA-japanese-Llama-2-13b-fast-instruct-GGUF

Quantized
(3)
this model