Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
OpenBuddy/openbuddy-qwen2.5llamaify-14b-v23.1-200k - GGUF
This repo contains GGUF format model files for OpenBuddy/openbuddy-qwen2.5llamaify-14b-v23.1-200k.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.
Prompt template
<|role|>system<|says|>{system_prompt}<|end|>
<|role|>user<|says|>{prompt}<|end|>
<|role|>assistant<|says|>
Model file specification
Filename | Quant type | File Size | Description |
---|---|---|---|
openbuddy-qwen2.5llamaify-14b-v23.1-200k-Q2_K.gguf | Q2_K | 5.769 GB | smallest, significant quality loss - not recommended for most purposes |
openbuddy-qwen2.5llamaify-14b-v23.1-200k-Q3_K_S.gguf | Q3_K_S | 6.658 GB | very small, high quality loss |
openbuddy-qwen2.5llamaify-14b-v23.1-200k-Q3_K_M.gguf | Q3_K_M | 7.338 GB | very small, high quality loss |
openbuddy-qwen2.5llamaify-14b-v23.1-200k-Q3_K_L.gguf | Q3_K_L | 7.923 GB | small, substantial quality loss |
openbuddy-qwen2.5llamaify-14b-v23.1-200k-Q4_0.gguf | Q4_0 | 8.516 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
openbuddy-qwen2.5llamaify-14b-v23.1-200k-Q4_K_S.gguf | Q4_K_S | 8.572 GB | small, greater quality loss |
openbuddy-qwen2.5llamaify-14b-v23.1-200k-Q4_K_M.gguf | Q4_K_M | 8.987 GB | medium, balanced quality - recommended |
openbuddy-qwen2.5llamaify-14b-v23.1-200k-Q5_0.gguf | Q5_0 | 10.265 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
openbuddy-qwen2.5llamaify-14b-v23.1-200k-Q5_K_S.gguf | Q5_K_S | 10.265 GB | large, low quality loss - recommended |
openbuddy-qwen2.5llamaify-14b-v23.1-200k-Q5_K_M.gguf | Q5_K_M | 10.507 GB | large, very low quality loss - recommended |
openbuddy-qwen2.5llamaify-14b-v23.1-200k-Q6_K.gguf | Q6_K | 12.123 GB | very large, extremely low quality loss |
openbuddy-qwen2.5llamaify-14b-v23.1-200k-Q8_0.gguf | Q8_0 | 15.700 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/openbuddy-qwen2.5llamaify-14b-v23.1-200k-GGUF --include "openbuddy-qwen2.5llamaify-14b-v23.1-200k-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/openbuddy-qwen2.5llamaify-14b-v23.1-200k-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
- Downloads last month
- 223