Instructions to use letheviet/coedit-tinyllama-chat-bnb-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use letheviet/coedit-tinyllama-chat-bnb-4bit with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("letheviet/coedit-tinyllama-chat-bnb-4bit", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use letheviet/coedit-tinyllama-chat-bnb-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 letheviet/coedit-tinyllama-chat-bnb-4bit:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf letheviet/coedit-tinyllama-chat-bnb-4bit:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf letheviet/coedit-tinyllama-chat-bnb-4bit:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf letheviet/coedit-tinyllama-chat-bnb-4bit: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 letheviet/coedit-tinyllama-chat-bnb-4bit:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf letheviet/coedit-tinyllama-chat-bnb-4bit: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 letheviet/coedit-tinyllama-chat-bnb-4bit:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf letheviet/coedit-tinyllama-chat-bnb-4bit:Q4_K_M

Use Docker

docker model run hf.co/letheviet/coedit-tinyllama-chat-bnb-4bit:Q4_K_M

LM Studio
Jan
Ollama
How to use letheviet/coedit-tinyllama-chat-bnb-4bit with Ollama:
```
ollama run hf.co/letheviet/coedit-tinyllama-chat-bnb-4bit:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use letheviet/coedit-tinyllama-chat-bnb-4bit with Docker Model Runner:
```
docker model run hf.co/letheviet/coedit-tinyllama-chat-bnb-4bit:Q4_K_M
```

Lemonade

How to use letheviet/coedit-tinyllama-chat-bnb-4bit with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull letheviet/coedit-tinyllama-chat-bnb-4bit:Q4_K_M

Run and chat with the model

lemonade run user.coedit-tinyllama-chat-bnb-4bit-Q4_K_M

List all available models

lemonade list

Atomic Chat

coedit-tinyllama-chat-bnb-4bit / README.md

letheviet

Upload README.md with huggingface_hub

2894e12 verified over 2 years ago

preview code

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	---
	language:
	- en
	license: apache-2.0
	tags:
	- text-generation-inference
	- transformers
	- unsloth
	- llama
	- trl
	base_model: unsloth/tinyllama-chat-bnb-4bit
	---

	# Uploaded model

	- Developed by: letheviet
	- License: apache-2.0
	- Finetuned from model : unsloth/tinyllama-chat-bnb-4bit

	This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

	[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)