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language:
- en
pipeline_tag: text-generation
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
- TensorBlock
- GGUF
license: llama2
base_model: meta-llama/Llama-2-13b-hf
Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
meta-llama/Llama-2-13b-hf - GGUF
This repo contains GGUF format model files for meta-llama/Llama-2-13b-hf.
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 |
|---|---|---|---|
| Llama-2-13b-hf-Q2_K.gguf | Q2_K | 4.854 GB | smallest, significant quality loss - not recommended for most purposes |
| Llama-2-13b-hf-Q3_K_S.gguf | Q3_K_S | 5.659 GB | very small, high quality loss |
| Llama-2-13b-hf-Q3_K_M.gguf | Q3_K_M | 6.338 GB | very small, high quality loss |
| Llama-2-13b-hf-Q3_K_L.gguf | Q3_K_L | 6.930 GB | small, substantial quality loss |
| Llama-2-13b-hf-Q4_0.gguf | Q4_0 | 7.366 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| Llama-2-13b-hf-Q4_K_S.gguf | Q4_K_S | 7.423 GB | small, greater quality loss |
| Llama-2-13b-hf-Q4_K_M.gguf | Q4_K_M | 7.866 GB | medium, balanced quality - recommended |
| Llama-2-13b-hf-Q5_0.gguf | Q5_0 | 8.972 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| Llama-2-13b-hf-Q5_K_S.gguf | Q5_K_S | 8.972 GB | large, low quality loss - recommended |
| Llama-2-13b-hf-Q5_K_M.gguf | Q5_K_M | 9.230 GB | large, very low quality loss - recommended |
| Llama-2-13b-hf-Q6_K.gguf | Q6_K | 10.679 GB | very large, extremely low quality loss |
| Llama-2-13b-hf-Q8_0.gguf | Q8_0 | 13.831 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/Llama-2-13b-hf-GGUF --include "Llama-2-13b-hf-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/Llama-2-13b-hf-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'