metadata
license: other
license_name: seallms
license_link: https://huggingface.co/SeaLLMs/SeaLLM-13B-Chat/blob/main/LICENSE
language:
- en
- zh
- vi
- id
- th
- ms
- km
- lo
- my
- tl
tags:
- multilingual
- sea
- TensorBlock
- GGUF
base_model: SeaLLMs/SeaLLM-7B-v2.5
Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
SeaLLMs/SeaLLM-7B-v2.5 - GGUF
This repo contains GGUF format model files for SeaLLMs/SeaLLM-7B-v2.5.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.
Prompt template
<bos><|im_start|>system
{system_prompt}<eos>
<|im_start|>user
{prompt}<eos>
<|im_start|>assistant
Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| SeaLLM-7B-v2.5-Q2_K.gguf | Q2_K | 3.242 GB | smallest, significant quality loss - not recommended for most purposes |
| SeaLLM-7B-v2.5-Q3_K_S.gguf | Q3_K_S | 3.709 GB | very small, high quality loss |
| SeaLLM-7B-v2.5-Q3_K_M.gguf | Q3_K_M | 4.069 GB | very small, high quality loss |
| SeaLLM-7B-v2.5-Q3_K_L.gguf | Q3_K_L | 4.386 GB | small, substantial quality loss |
| SeaLLM-7B-v2.5-Q4_0.gguf | Q4_0 | 4.668 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| SeaLLM-7B-v2.5-Q4_K_S.gguf | Q4_K_S | 4.700 GB | small, greater quality loss |
| SeaLLM-7B-v2.5-Q4_K_M.gguf | Q4_K_M | 4.964 GB | medium, balanced quality - recommended |
| SeaLLM-7B-v2.5-Q5_0.gguf | Q5_0 | 5.570 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| SeaLLM-7B-v2.5-Q5_K_S.gguf | Q5_K_S | 5.570 GB | large, low quality loss - recommended |
| SeaLLM-7B-v2.5-Q5_K_M.gguf | Q5_K_M | 5.723 GB | large, very low quality loss - recommended |
| SeaLLM-7B-v2.5-Q6_K.gguf | Q6_K | 6.529 GB | very large, extremely low quality loss |
| SeaLLM-7B-v2.5-Q8_0.gguf | Q8_0 | 8.454 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/SeaLLM-7B-v2.5-GGUF --include "SeaLLM-7B-v2.5-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/SeaLLM-7B-v2.5-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'