Hugging Face's logo

tensorblock
/
Nxcode-CQ-7B-orpo-GGUF

Text Generation
GGUF
code
TensorBlock
GGUF
Inference Endpoints
conversational
Model card Files Community
Nxcode-CQ-7B-orpo-GGUF / README.md
morriszms's picture
morriszms
Update README.md
65c246c verified
preview code
|
raw
history blame contribute delete
4.88 kB
metadata
license_name: tongyi-qianwen-research
license_link: https://huggingface.co/Qwen/CodeQwen1.5-7B/blob/main/LICENSE
tags:
  - code
  - TensorBlock
  - GGUF
pipeline_tag: text-generation
license: other
base_model: NTQAI/Nxcode-CQ-7B-orpo
TensorBlock

Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server

NTQAI/Nxcode-CQ-7B-orpo - GGUF

This repo contains GGUF format model files for NTQAI/Nxcode-CQ-7B-orpo.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.

Prompt template 

<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

Model file specification

Filename Quant type File Size Description
Nxcode-CQ-7B-orpo-Q2_K.gguf Q2_K 2.842 GB smallest, significant quality loss - not recommended for most purposes
Nxcode-CQ-7B-orpo-Q3_K_S.gguf Q3_K_S 3.260 GB very small, high quality loss
Nxcode-CQ-7B-orpo-Q3_K_M.gguf Q3_K_M 3.547 GB very small, high quality loss
Nxcode-CQ-7B-orpo-Q3_K_L.gguf Q3_K_L 3.713 GB small, substantial quality loss
Nxcode-CQ-7B-orpo-Q4_0.gguf Q4_0 3.892 GB legacy; small, very high quality loss - prefer using Q3_K_M
Nxcode-CQ-7B-orpo-Q4_K_S.gguf Q4_K_S 4.111 GB small, greater quality loss
Nxcode-CQ-7B-orpo-Q4_K_M.gguf Q4_K_M 4.413 GB medium, balanced quality - recommended
Nxcode-CQ-7B-orpo-Q5_0.gguf Q5_0 4.692 GB legacy; medium, balanced quality - prefer using Q4_K_M
Nxcode-CQ-7B-orpo-Q5_K_S.gguf Q5_K_S 4.795 GB large, low quality loss - recommended
Nxcode-CQ-7B-orpo-Q5_K_M.gguf Q5_K_M 5.055 GB large, very low quality loss - recommended
Nxcode-CQ-7B-orpo-Q6_K.gguf Q6_K 5.940 GB very large, extremely low quality loss
Nxcode-CQ-7B-orpo-Q8_0.gguf Q8_0 7.177 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/Nxcode-CQ-7B-orpo-GGUF --include "Nxcode-CQ-7B-orpo-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/Nxcode-CQ-7B-orpo-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'