Instructions to use thodsapon/V2_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use thodsapon/V2_test with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("thodsapon/V2_test", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use thodsapon/V2_test 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 thodsapon/V2_test:F16
# Run inference directly in the terminal:
llama cli -hf thodsapon/V2_test:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf thodsapon/V2_test:F16
# Run inference directly in the terminal:
llama cli -hf thodsapon/V2_test:F16

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 thodsapon/V2_test:F16
# Run inference directly in the terminal:
./llama-cli -hf thodsapon/V2_test:F16

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 thodsapon/V2_test:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf thodsapon/V2_test:F16

Use Docker

docker model run hf.co/thodsapon/V2_test:F16

LM Studio
Jan
Ollama
How to use thodsapon/V2_test with Ollama:
```
ollama run hf.co/thodsapon/V2_test:F16
```

Unsloth Studio

How to use thodsapon/V2_test 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 thodsapon/V2_test 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 thodsapon/V2_test to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for thodsapon/V2_test to start chatting

Docker Model Runner
How to use thodsapon/V2_test with Docker Model Runner:
```
docker model run hf.co/thodsapon/V2_test:F16
```

Lemonade

How to use thodsapon/V2_test with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull thodsapon/V2_test:F16

Run and chat with the model

lemonade run user.V2_test-F16

List all available models

lemonade list

Atomic Chat

thodsapon commited on Jul 1, 2024

Commit

a66d0dd

verified ·

1 Parent(s): 40b791b

Update README.md

Browse files

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README.md +1 -22

README.md CHANGED Viewed

@@ -1,22 +1 @@
----
-base_model: scb10x/llama-3-typhoon-v1.5-8b-instruct
-language:
-- en
-license: apache-2.0
-tags:
-- text-generation-inference
-- transformers
-- unsloth
-- llama
-- gguf
----
-# Uploaded  model
-- **Developed by:** thodsapon
-- **License:** apache-2.0
-- **Finetuned from model :** scb10x/llama-3-typhoon-v1.5-8b-instruct
-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)


1	+ typh1.5 8b, 4096, sample พี่เอ็ม + schema, r128a24, epoch1, learning2e-4