Instructions to use AetherAllan/DaiDai_Bot_4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use AetherAllan/DaiDai_Bot_4bit with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf AetherAllan/DaiDai_Bot_4bit
# Run inference directly in the terminal:
llama cli -hf AetherAllan/DaiDai_Bot_4bit

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf AetherAllan/DaiDai_Bot_4bit
# Run inference directly in the terminal:
llama cli -hf AetherAllan/DaiDai_Bot_4bit

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf AetherAllan/DaiDai_Bot_4bit
# Run inference directly in the terminal:
./llama-cli -hf AetherAllan/DaiDai_Bot_4bit

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf AetherAllan/DaiDai_Bot_4bit
# Run inference directly in the terminal:
./build/bin/llama-cli -hf AetherAllan/DaiDai_Bot_4bit

Use Docker

docker model run hf.co/AetherAllan/DaiDai_Bot_4bit

LM Studio
Jan
Ollama
How to use AetherAllan/DaiDai_Bot_4bit with Ollama:
```
ollama run hf.co/AetherAllan/DaiDai_Bot_4bit
```

Unsloth Studio

How to use AetherAllan/DaiDai_Bot_4bit with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for AetherAllan/DaiDai_Bot_4bit to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for AetherAllan/DaiDai_Bot_4bit to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for AetherAllan/DaiDai_Bot_4bit to start chatting

Docker Model Runner
How to use AetherAllan/DaiDai_Bot_4bit with Docker Model Runner:
```
docker model run hf.co/AetherAllan/DaiDai_Bot_4bit
```

Lemonade

How to use AetherAllan/DaiDai_Bot_4bit with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull AetherAllan/DaiDai_Bot_4bit

Run and chat with the model

lemonade run user.DaiDai_Bot_4bit-{{QUANT_TAG}}

List all available models

lemonade list

Atomic Chat

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

该模型支持ollama，量化4bit（Q4_K_M）可以在8GB显存下流畅推理。

1.首先shell要cd到你想下载到本地的目录，完成后运行:git lfs install&&git clone https://huggingface.co/DudeGuuud/DaiDai_Bot_4bit

2.继续cd到modelfile所存在的目录，运行:ollama create daibot(或设定你喜欢的名字) -f modelfile

3.启动模型:ollama run daibot(或你设定的名字)

PS：在一些情况下模型会重复自言自语，颇有自闭症的感觉，建议出现此问题时再调整温度和topp相关，或者关掉上下文/set nohistory或者及时/clear清楚以往对话信息

感谢开源框架unsloth，感谢谷歌colab，得益于unsloth框架惊人的训练速度，简单的任务可以在colab用很短的时间完成！

base_model: unsloth/meta-llama-3.1-8b-bnb-4bit tags: - text-generation-inference - transformers - unsloth - llama - gguf license: apache-2.0 language: - en

Uploaded model

Developed by: DudeGuuud
License: apache-2.0
Finetuned from model : unsloth/meta-llama-3.1-8b-bnb-4bit

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.

Downloads last month: 37

GGUF

Model size

8B params

Architecture

llama

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

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