Instructions to use nold/Yi-34B-200K-RPMerge-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use nold/Yi-34B-200K-RPMerge-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("nold/Yi-34B-200K-RPMerge-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use nold/Yi-34B-200K-RPMerge-GGUF 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 nold/Yi-34B-200K-RPMerge-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf nold/Yi-34B-200K-RPMerge-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf nold/Yi-34B-200K-RPMerge-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf nold/Yi-34B-200K-RPMerge-GGUF:Q4_K_M

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 nold/Yi-34B-200K-RPMerge-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf nold/Yi-34B-200K-RPMerge-GGUF:Q4_K_M

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 nold/Yi-34B-200K-RPMerge-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf nold/Yi-34B-200K-RPMerge-GGUF:Q4_K_M

Use Docker

docker model run hf.co/nold/Yi-34B-200K-RPMerge-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use nold/Yi-34B-200K-RPMerge-GGUF with Ollama:
```
ollama run hf.co/nold/Yi-34B-200K-RPMerge-GGUF:Q4_K_M
```

Unsloth Studio

How to use nold/Yi-34B-200K-RPMerge-GGUF 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 nold/Yi-34B-200K-RPMerge-GGUF 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 nold/Yi-34B-200K-RPMerge-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for nold/Yi-34B-200K-RPMerge-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use nold/Yi-34B-200K-RPMerge-GGUF with Docker Model Runner:
```
docker model run hf.co/nold/Yi-34B-200K-RPMerge-GGUF:Q4_K_M
```

Lemonade

How to use nold/Yi-34B-200K-RPMerge-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull nold/Yi-34B-200K-RPMerge-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Yi-34B-200K-RPMerge-GGUF-Q4_K_M

List all available models

lemonade list

Update README.md with license information

by Chen-01AI - opened Jun 25, 2024

base: refs/heads/main

←

from: refs/pr/2

Discussion Files changed

-3

Chen-01AI

Jun 25, 2024

•

edited Jul 5, 2024

Hi, I'm Chen, a DevRel specialist from 01.AI.
Today I'm sending you the PR to help you update the model license, and give a recommendation according to apache-2.0.

License Update:
Since license of all Yi Series models has been updated from yi-license to apache-2.0, this PR is to help you update it.
License under apache-2.0 enables more free and flexible use and distribution, promoting open collaboration and innovation.
It can be a good choice to make your models widely available and provide access which is reliable and high-quality. (https://www.apache.org/licenses/LICENSE-2.0)
If it looks good to you, you can choose to update other yi derivatives (if you have) license to apache-2.0 on your own if I miss out.
Recommendation for Yi Derivatives:
All Yi Series models are now licensed under apache-2.0. It is recomended that Yi derivatives mention the specific Yi models they're based on in any place (e.g., in the Model Card) to align with the requirement of apache-2.0.
Thanks for your continued support and contributions to Yi models.

Update README.md with license information5ed5d410

Chen-01AI

Jul 5, 2024

Hi, have you reviewed this PR? If it looks good to you, you can merge it! 😀

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