Instructions to use EeeLM/EeeTranslation-v1-1B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use EeeLM/EeeTranslation-v1-1B-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="EeeLM/EeeTranslation-v1-1B-GGUF",
	filename="EeeTranslation-v1-1B.Q4_K_S.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use EeeLM/EeeTranslation-v1-1B-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf EeeLM/EeeTranslation-v1-1B-GGUF:Q4_K_S
# Run inference directly in the terminal:
llama-cli -hf EeeLM/EeeTranslation-v1-1B-GGUF:Q4_K_S

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf EeeLM/EeeTranslation-v1-1B-GGUF:Q4_K_S
# Run inference directly in the terminal:
llama-cli -hf EeeLM/EeeTranslation-v1-1B-GGUF:Q4_K_S

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 EeeLM/EeeTranslation-v1-1B-GGUF:Q4_K_S
# Run inference directly in the terminal:
./llama-cli -hf EeeLM/EeeTranslation-v1-1B-GGUF:Q4_K_S

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 EeeLM/EeeTranslation-v1-1B-GGUF:Q4_K_S
# Run inference directly in the terminal:
./build/bin/llama-cli -hf EeeLM/EeeTranslation-v1-1B-GGUF:Q4_K_S

Use Docker

docker model run hf.co/EeeLM/EeeTranslation-v1-1B-GGUF:Q4_K_S

LM Studio
Jan
Ollama
How to use EeeLM/EeeTranslation-v1-1B-GGUF with Ollama:
```
ollama run hf.co/EeeLM/EeeTranslation-v1-1B-GGUF:Q4_K_S
```

Unsloth Studio

How to use EeeLM/EeeTranslation-v1-1B-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 EeeLM/EeeTranslation-v1-1B-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 EeeLM/EeeTranslation-v1-1B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for EeeLM/EeeTranslation-v1-1B-GGUF to start chatting

Docker Model Runner
How to use EeeLM/EeeTranslation-v1-1B-GGUF with Docker Model Runner:
```
docker model run hf.co/EeeLM/EeeTranslation-v1-1B-GGUF:Q4_K_S
```

Lemonade

How to use EeeLM/EeeTranslation-v1-1B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull EeeLM/EeeTranslation-v1-1B-GGUF:Q4_K_S

Run and chat with the model

lemonade run user.EeeTranslation-v1-1B-GGUF-Q4_K_S

List all available models

lemonade list

EeeLM/EeeTranslation-v1-1BのGGUF版

チャットテンプレートが埋め込まれており、システムプロンプトに翻訳先言語を、ユーザーロールで翻訳対象のテキストを入力すると推論結果が翻訳後の文章になります。システムプロンプトをなにも指定しないと日本語へ翻訳されます。

なのでLM Studioやollamaなど既存のllama.cppインフラで使えるはずです。詳細は元モデルReadme参照

Downloads last month: 8

GGUF

Model size

1B params

Architecture

llama

Hardware compatibility

4-bit

8-bit

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Model tree for EeeLM/EeeTranslation-v1-1B-GGUF

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Finetuned

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Quantized

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