PleIAs/Baguettotron-GGUF

🤗 Hugging Face 来源apache-2.04.4 GBGGUF✓ 12 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo PleIAs/Baguettotron-GGUF ./model-folder
需要做种者 →

🥖 Baguettotron-GGUF

Blog announcement

This repo contains gguf variants of Baguettotron, a 321 million parameters generalist Small Reasoning Model, trained on 200 billions tokens from SYNTH, a fully open generalist dataset.

Despite being trained on consideraly less data, Baguettotron outperforms most SLM of the same size range on non-code industry benchmarks, providing an unprecedented balance between memory, general reasoning, math and retrieval performance.

Please refer to the original model card for more details.

GGUF conversion

The GGUF conversion was originally done by typeof.

This versions adds a few additional metadata (preferred temperature/settings) to ease the implementation in LM Studio.

Given the tight size of the original model, we recommend to use at least the 8bit version.

We dont provide quants lower than 4bit but they are available in typeof repo.

Inference

Easiest installation is through LM Studio, with the default import system.

Otherwise, you can install llama.cpp directly and invoke the llama.cpp server:

llama-server --hf-repo typeof/Baguettotron-gguf --hf-file Baguettotron-Q8_0.gguf -c 2048

or the command line:

llama-cli --hf-repo typeof/Baguettotron-gguf --hf-file Baguettotron-Q8_0.gguf -p "How to make a good baguette?"