You can deploy this model and start earning money today!

tensorblock/
japanese-stablelm-base-beta-70b-GGUF

Name: japanese-stablelm-base-beta-70b-GGUF
Availability: InStock

quantized

stabilityai/japanese-stablelm-base-beta-70b

causal-lm

cc100

cerebras/SlimPajama-627B

mc4

oscar-corpus/OSCAR-2201

oscar-corpus/OSCAR-2301

Views

No views yet

Website

Discord

GitHub

stabilityai/japanese-stablelm-base-beta-70b - GGUF

This repo contains GGUF format model files for stabilityai/japanese-stablelm-base-beta-70b.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.

Our projects

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

Model file specification

Filename	Quant type	File Size	Description
japanese-stablelm-base-beta-70b-Q2_K.gguf	Q2_K	25.462 GB	smallest, significant quality loss - not recommended for most purposes
japanese-stablelm-base-beta-70b-Q3_K_S.gguf	Q3_K_S	29.919 GB	very small, high quality loss
japanese-stablelm-base-beta-70b-Q3_K_M.gguf	Q3_K_M	33.275 GB	very small, high quality loss
japanese-stablelm-base-beta-70b-Q3_K_L.gguf	Q3_K_L	36.148 GB	small, substantial quality loss
japanese-stablelm-base-beta-70b-Q4_0.gguf	Q4_0	38.872 GB	legacy; small, very high quality loss - prefer using Q3_K_M
japanese-stablelm-base-beta-70b-Q4_K_S.gguf	Q4_K_S	39.250 GB	small, greater quality loss
japanese-stablelm-base-beta-70b-Q4_K_M.gguf	Q4_K_M	41.423 GB	medium, balanced quality - recommended
japanese-stablelm-base-beta-70b-Q5_0.gguf	Q5_0	47.461 GB	legacy; medium, balanced quality - prefer using Q4_K_M
japanese-stablelm-base-beta-70b-Q5_K_S.gguf	Q5_K_S	47.461 GB	large, low quality loss - recommended
japanese-stablelm-base-beta-70b-Q5_K_M.gguf	Q5_K_M	48.754 GB	large, very low quality loss - recommended
japanese-stablelm-base-beta-70b-Q8_0	Q6_K	17.325 GB	very large, extremely low quality loss
japanese-stablelm-base-beta-70b-Q6_K	Q8_0	56.587 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/japanese-stablelm-base-beta-70b-GGUF --include "japanese-stablelm-base-beta-70b-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/japanese-stablelm-base-beta-70b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'