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Qwen2-7B-ko-Instruct-orpo-ver_2.0_wo_chat-GGUF
tensorblock/Qwen2-7B-ko-Instruct-orpo-ver_2.0_wo_chat-GGUF
Qwen2-7B-ko-Instruct-orpo-ver_2.0_wo_chat-GGUF is a machine learning model from tensorblock. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
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All-time downloads
1.2K
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Repo size
58.4 GB
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Repo makeup
Click a slice to open those files.
.gguf3 GB · 100%
At a glance
- Library
- transformers
- License
- cc-by-nc-4.0
- Access
- Public
- Created
- Nov 18, 2024
- Updated
- Jan 27, 2026
- SHA
- a415ab4f
Base models
Model card
From the Hugging Face model README
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spow12/Qwen2-7B-ko-Instruct-orpo-ver_2.0_wo_chat - GGUF
This repo contains GGUF format model files for spow12/Qwen2-7B-ko-Instruct-orpo-ver_2.0_wo_chat.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.
Our projects
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Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| Qwen2-7B-ko-Instruct-orpo-ver_2.0_wo_chat-Q2_K.gguf | Q2_K | 2.807 GB | smallest, significant quality loss - not recommended for most purposes |
| Qwen2-7B-ko-Instruct-orpo-ver_2.0_wo_chat-Q3_K_S.gguf | Q3_K_S | 3.251 GB | very small, high quality loss |
| Qwen2-7B-ko-Instruct-orpo-ver_2.0_wo_chat-Q3_K_M.gguf | Q3_K_M | 3.545 GB | very small, high quality loss |
| Qwen2-7B-ko-Instruct-orpo-ver_2.0_wo_chat-Q3_K_L.gguf | Q3_K_L | 3.806 GB | small, substantial quality loss |
| Qwen2-7B-ko-Instruct-orpo-ver_2.0_wo_chat-Q4_0.gguf | Q4_0 | 4.125 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| Qwen2-7B-ko-Instruct-orpo-ver_2.0_wo_chat-Q4_K_S.gguf | Q4_K_S | 4.150 GB | small, greater quality loss |
| Qwen2-7B-ko-Instruct-orpo-ver_2.0_wo_chat-Q4_K_M.gguf | Q4_K_M | 4.360 GB | medium, balanced quality - recommended |
| Qwen2-7B-ko-Instruct-orpo-ver_2.0_wo_chat-Q5_0.gguf | Q5_0 | 4.948 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| Qwen2-7B-ko-Instruct-orpo-ver_2.0_wo_chat-Q5_K_S.gguf | Q5_K_S | 4.948 GB | large, low quality loss - recommended |
| Qwen2-7B-ko-Instruct-orpo-ver_2.0_wo_chat-Q5_K_M.gguf | Q5_K_M | 5.069 GB | large, very low quality loss - recommended |
| Qwen2-7B-ko-Instruct-orpo-ver_2.0_wo_chat-Q6_K.gguf | Q6_K | 5.822 GB | very large, extremely low quality loss |
| Qwen2-7B-ko-Instruct-orpo-ver_2.0_wo_chat-Q8_0.gguf | Q8_0 | 7.539 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/Qwen2-7B-ko-Instruct-orpo-ver_2.0_wo_chat-GGUF --include "Qwen2-7B-ko-Instruct-orpo-ver_2.0_wo_chat-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/Qwen2-7B-ko-Instruct-orpo-ver_2.0_wo_chat-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
- Library
- transformers
- License
- cc-by-nc-4.0
- Languages
- ko, en
- Created
- Nov 18, 2024
- Updated
- Jan 27, 2026