metadata
license: apache-2.0
tags:
- moe
- frankenmoe
- merge
- mergekit
- lazymergekit
- upstage/SOLAR-10.7B-Instruct-v1.0
- heavytail/kullm-solar
- TensorBlock
- GGUF
base_model: jieunhan/solar-merge-v1.0
Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
jieunhan/solar-merge-v1.0 - GGUF
This repo contains GGUF format model files for jieunhan/solar-merge-v1.0.
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 |
---|---|---|---|
solar-merge-v1.0-Q2_K.gguf | Q2_K | 6.580 GB | smallest, significant quality loss - not recommended for most purposes |
solar-merge-v1.0-Q3_K_S.gguf | Q3_K_S | 7.729 GB | very small, high quality loss |
solar-merge-v1.0-Q3_K_M.gguf | Q3_K_M | 8.593 GB | very small, high quality loss |
solar-merge-v1.0-Q3_K_L.gguf | Q3_K_L | 9.325 GB | small, substantial quality loss |
solar-merge-v1.0-Q4_0.gguf | Q4_0 | 10.087 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
solar-merge-v1.0-Q4_K_S.gguf | Q4_K_S | 10.170 GB | small, greater quality loss |
solar-merge-v1.0-Q4_K_M.gguf | Q4_K_M | 10.787 GB | medium, balanced quality - recommended |
solar-merge-v1.0-Q5_0.gguf | Q5_0 | 12.305 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
solar-merge-v1.0-Q5_K_S.gguf | Q5_K_S | 12.305 GB | large, low quality loss - recommended |
solar-merge-v1.0-Q5_K_M.gguf | Q5_K_M | 12.666 GB | large, very low quality loss - recommended |
solar-merge-v1.0-Q6_K.gguf | Q6_K | 14.662 GB | very large, extremely low quality loss |
solar-merge-v1.0-Q8_0.gguf | Q8_0 | 18.990 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/solar-merge-v1.0-GGUF --include "solar-merge-v1.0-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/solar-merge-v1.0-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'