metadata
license: other
license_name: gemma-terms-of-use
license_link: https://ai.google.dev/gemma/terms
language:
- en
- he
library_name: transformers
tags:
- TensorBlock
- GGUF
base_model: yam-peleg/Hebrew-Gemma-11B-V2
Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
yam-peleg/Hebrew-Gemma-11B-V2 - GGUF
This repo contains GGUF format model files for yam-peleg/Hebrew-Gemma-11B-V2.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.
Prompt template
<start_of_turn>user
{prompt}<end_of_turn>
<start_of_turn>model
Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| Hebrew-Gemma-11B-V2-Q2_K.gguf | Q2_K | 3.901 GB | smallest, significant quality loss - not recommended for most purposes |
| Hebrew-Gemma-11B-V2-Q3_K_S.gguf | Q3_K_S | 4.485 GB | very small, high quality loss |
| Hebrew-Gemma-11B-V2-Q3_K_M.gguf | Q3_K_M | 4.941 GB | very small, high quality loss |
| Hebrew-Gemma-11B-V2-Q3_K_L.gguf | Q3_K_L | 5.330 GB | small, substantial quality loss |
| Hebrew-Gemma-11B-V2-Q4_0.gguf | Q4_0 | 5.683 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| Hebrew-Gemma-11B-V2-Q4_K_S.gguf | Q4_K_S | 5.724 GB | small, greater quality loss |
| Hebrew-Gemma-11B-V2-Q4_K_M.gguf | Q4_K_M | 6.042 GB | medium, balanced quality - recommended |
| Hebrew-Gemma-11B-V2-Q5_0.gguf | Q5_0 | 6.811 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| Hebrew-Gemma-11B-V2-Q5_K_S.gguf | Q5_K_S | 6.811 GB | large, low quality loss - recommended |
| Hebrew-Gemma-11B-V2-Q5_K_M.gguf | Q5_K_M | 6.996 GB | large, very low quality loss - recommended |
| Hebrew-Gemma-11B-V2-Q6_K.gguf | Q6_K | 8.009 GB | very large, extremely low quality loss |
| Hebrew-Gemma-11B-V2-Q8_0.gguf | Q8_0 | 10.372 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/Hebrew-Gemma-11B-V2-GGUF --include "Hebrew-Gemma-11B-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/Hebrew-Gemma-11B-V2-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'