Edit model card
TensorBlock

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

ifuseok/sft-solar-10.7b-v1.1 - GGUF

This repo contains GGUF format model files for ifuseok/sft-solar-10.7b-v1.1.

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

Prompt template

### System:
{system_prompt}

### User:
{prompt}

### Assistant:

Model file specification

Filename Quant type File Size Description
sft-solar-10.7b-v1.1-Q2_K.gguf Q2_K 3.728 GB smallest, significant quality loss - not recommended for most purposes
sft-solar-10.7b-v1.1-Q3_K_S.gguf Q3_K_S 4.344 GB very small, high quality loss
sft-solar-10.7b-v1.1-Q3_K_M.gguf Q3_K_M 4.839 GB very small, high quality loss
sft-solar-10.7b-v1.1-Q3_K_L.gguf Q3_K_L 5.263 GB small, substantial quality loss
sft-solar-10.7b-v1.1-Q4_0.gguf Q4_0 5.655 GB legacy; small, very high quality loss - prefer using Q3_K_M
sft-solar-10.7b-v1.1-Q4_K_S.gguf Q4_K_S 5.698 GB small, greater quality loss
sft-solar-10.7b-v1.1-Q4_K_M.gguf Q4_K_M 6.018 GB medium, balanced quality - recommended
sft-solar-10.7b-v1.1-Q5_0.gguf Q5_0 6.889 GB legacy; medium, balanced quality - prefer using Q4_K_M
sft-solar-10.7b-v1.1-Q5_K_S.gguf Q5_K_S 6.889 GB large, low quality loss - recommended
sft-solar-10.7b-v1.1-Q5_K_M.gguf Q5_K_M 7.076 GB large, very low quality loss - recommended
sft-solar-10.7b-v1.1-Q6_K.gguf Q6_K 8.200 GB very large, extremely low quality loss
sft-solar-10.7b-v1.1-Q8_0.gguf Q8_0 10.621 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/sft-solar-10.7b-v1.1-GGUF --include "sft-solar-10.7b-v1.1-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/sft-solar-10.7b-v1.1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
188
GGUF
Model size
10.7B params
Architecture
llama

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Inference Examples
Unable to determine this model's library. Check the docs .

Model tree for tensorblock/sft-solar-10.7b-v1.1-GGUF

Quantized
(1)
this model

Datasets used to train tensorblock/sft-solar-10.7b-v1.1-GGUF