You can deploy this model and start earning money today!

tensorblock/
I-SOLAR-10.7B-dpo-sft-v1.0-GGUF

Name: I-SOLAR-10.7B-dpo-sft-v1.0-GGUF
Availability: InStock

Views

No views yet

ihopper/I-SOLAR-10.7B-dpo-sft-v1.0 - GGUF

This repo contains GGUF format model files for ihopper/I-SOLAR-10.7B-dpo-sft-v1.0.

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

Forge
Forge Project
An OpenAI-compatible multi-provider routing layer.
🚀 Try it now! 🚀
Awesome MCP Servers	TensorBlock Studio
MCP Servers	Studio
A comprehensive collection of Model Context Protocol (MCP) servers.	A lightweight, open, and extensible multi-LLM interaction studio.
👀 See what we built 👀	👀 See what we built 👀

## Prompt template

Filename	Quant type	File Size	Description
I-SOLAR-10.7B-dpo-sft-v1.0-Q2_K.gguf	Q2_K	4.003 GB	smallest, significant quality loss - not recommended for most purposes
I-SOLAR-10.7B-dpo-sft-v1.0-Q3_K_S.gguf	Q3_K_S	4.665 GB	very small, high quality loss
I-SOLAR-10.7B-dpo-sft-v1.0-Q3_K_M.gguf	Q3_K_M	5.196 GB	very small, high quality loss
I-SOLAR-10.7B-dpo-sft-v1.0-Q3_K_L.gguf	Q3_K_L	5.651 GB	small, substantial quality loss
I-SOLAR-10.7B-dpo-sft-v1.0-Q4_0.gguf	Q4_0	6.072 GB	legacy; small, very high quality loss - prefer using Q3_K_M
I-SOLAR-10.7B-dpo-sft-v1.0-Q4_K_S.gguf	Q4_K_S	6.119 GB	small, greater quality loss
I-SOLAR-10.7B-dpo-sft-v1.0-Q4_K_M.gguf	Q4_K_M	6.462 GB	medium, balanced quality - recommended
I-SOLAR-10.7B-dpo-sft-v1.0-Q5_0.gguf	Q5_0	7.397 GB	legacy; medium, balanced quality - prefer using Q4_K_M
I-SOLAR-10.7B-dpo-sft-v1.0-Q5_K_S.gguf	Q5_K_S	7.397 GB	large, low quality loss - recommended
I-SOLAR-10.7B-dpo-sft-v1.0-Q5_K_M.gguf	Q5_K_M	7.598 GB	large, very low quality loss - recommended
I-SOLAR-10.7B-dpo-sft-v1.0-Q6_K.gguf	Q6_K	8.805 GB	very large, extremely low quality loss
I-SOLAR-10.7B-dpo-sft-v1.0-Q8_0.gguf	Q8_0	11.404 GB	very large, extremely low quality loss - not recommended

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/I-SOLAR-10.7B-dpo-sft-v1.0-GGUF --include "I-SOLAR-10.7B-dpo-sft-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/I-SOLAR-10.7B-dpo-sft-v1.0-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'