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

Notebooks
Google Colab
Kaggle
Local Apps Settings

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

Use Docker

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

LM Studio
Jan

vLLM

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

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "nold/Yi-34B-200K-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "nold/Yi-34B-200K-GGUF",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

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

Ollama
How to use nold/Yi-34B-200K-GGUF with Ollama:
```
ollama run hf.co/nold/Yi-34B-200K-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use nold/Yi-34B-200K-GGUF with Docker Model Runner:
```
docker model run hf.co/nold/Yi-34B-200K-GGUF:Q4_K_M
```

Lemonade

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

Pull the model

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

Run and chat with the model

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

List all available models

lemonade list

Atomic Chat

[WIP] Upload folder using huggingface_hub (multi-commit 8d7e14c6638d157ce6a364b29036edb9a5c83881f0e2e280ff9cfe8635057c28)

by nold - opened Mar 7, 2024

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

-1299

nold

Owner Mar 7, 2024

Upload folder using huggingface_hub

Multi commit ID: 8d7e14c6638d157ce6a364b29036edb9a5c83881f0e2e280ff9cfe8635057c28

Scheduled commits:

Upload 1 file(s) totalling 6.8G (e744ccbf8f2058c27355902badcc92f573dffc7a81bf99be6042f8d881bbaf1a)
Upload 1 file(s) totalling 23.7G (3015ae8b9b22425564784348a2f214fa60f09163393380c41ce1153e0d8cfd81)
Upload 1 file(s) totalling 23.7G (b36cf175b73a17ea04e3c3060f5e4bfb3b64eeb4e24bbfec718e0ec8b2f6654f)
Upload 1 file(s) totalling 23.7G (57852cc86faf9eb4f850623b3181bd225982a424d6121e059b2535d05b170c5e)
Upload 1 file(s) totalling 23.7G (40074db7380856ab70bc79d8383de89cd6c897dd401cd7c4150728d813a4be1a)
Upload 1 file(s) totalling 58.1K (8170c91e068ad0538f8efd58e2bd419b585a0de36ec28155d7912f3d05b5cf87)

This is a PR opened using the huggingface_hub library in the context of a multi-commit. PR can be commented as a usual PR. However, please be aware that manually updating the PR description, changing the PR status, or pushing new commits, is not recommended as it might corrupt the commit process. Learn more about multi-commits in this guide.

nold changed pull request status to closed Mar 9, 2024

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