metadata
language:
- en
- vi
- es
- pt
- de
- it
- fr
- ko
- zh
license: other
license_name: ghost-open-llms
license_link: https://ghost-x.org/ghost-open-llms-license
tags:
- ghost
- tools
- chat
- transformers
- unsloth
- llama
- TensorBlock
- GGUF
pipeline_tag: text-generation
widget:
- text: Why is the sky blue ?
base_model: ghost-x/ghost-8b-beta
Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
ghost-x/ghost-8b-beta - GGUF
This repo contains GGUF format model files for ghost-x/ghost-8b-beta.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.
Prompt template
<|bos|><|role:begin|>system<|role:end|>
{system_prompt}<|cos|>
<|role:begin|>user<|role:end|>
{prompt}<|cos|>
<|role:begin|>assistant<|role:end|>
Model file specification
Filename | Quant type | File Size | Description |
---|---|---|---|
ghost-8b-beta-Q2_K.gguf | Q2_K | 3.179 GB | smallest, significant quality loss - not recommended for most purposes |
ghost-8b-beta-Q3_K_S.gguf | Q3_K_S | 3.664 GB | very small, high quality loss |
ghost-8b-beta-Q3_K_M.gguf | Q3_K_M | 4.019 GB | very small, high quality loss |
ghost-8b-beta-Q3_K_L.gguf | Q3_K_L | 4.322 GB | small, substantial quality loss |
ghost-8b-beta-Q4_0.gguf | Q4_0 | 4.661 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
ghost-8b-beta-Q4_K_S.gguf | Q4_K_S | 4.693 GB | small, greater quality loss |
ghost-8b-beta-Q4_K_M.gguf | Q4_K_M | 4.921 GB | medium, balanced quality - recommended |
ghost-8b-beta-Q5_0.gguf | Q5_0 | 5.599 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
ghost-8b-beta-Q5_K_S.gguf | Q5_K_S | 5.599 GB | large, low quality loss - recommended |
ghost-8b-beta-Q5_K_M.gguf | Q5_K_M | 5.733 GB | large, very low quality loss - recommended |
ghost-8b-beta-Q6_K.gguf | Q6_K | 6.596 GB | very large, extremely low quality loss |
ghost-8b-beta-Q8_0.gguf | Q8_0 | 8.541 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/ghost-8b-beta-GGUF --include "ghost-8b-beta-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/ghost-8b-beta-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'