ProCreations/grug-3b-gguf

🤗 Hugging Face 来源text-generationapache-2.0激活 3B72 GBGGUF✓ 6 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 ProCreations/grug-3b-gguf ./model-folder
需要做种者 →

grug-3b-gguf

gguf of ProCreations/grug-3b.

grug think in grug inside <think>, then answer normal english. think short for small question (13 token median), long for hard one (737 token median).

file size
grug-3b-f16.gguf 8.34 GB
grug-3b-Q8_0.gguf 4.43 GB
grug-3b-Q6_K.gguf 3.42 GB
grug-3b-Q5_K_M.gguf 2.99 GB
grug-3b-Q4_K_M.gguf 2.57 GB
grug-3b-Q3_K_M.gguf 2.17 GB

want q4 that hold up better? grug also train one q4-aware: ProCreations/grug-3b-qat-q4-gguf.

llama.cpp support

Nanbeige4.2 not in upstream llama.cpp yet (issue #26086). Nanbeige team PR #25994 add it - weight-shared depth loop, num_loops=2. until merge, build from that branch:

git clone --depth 1 --branch nanbeige42 https://github.com/Nanbeige/llama.cpp
cd llama.cpp && cmake -B build -DCMAKE_BUILD_TYPE=Release && cmake --build build -j
./build/bin/llama-cli -m grug-3b-Q4_K_M.gguf -p "What is 12 times 12?"

these gguf converted and load-probed with that branch.