Instructions to use bastienp/Gemma-2-2B-Instruct-structured-output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use bastienp/Gemma-2-2B-Instruct-structured-output with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it")
model = PeftModel.from_pretrained(base_model, "bastienp/Gemma-2-2B-Instruct-structured-output")

Transformers

How to use bastienp/Gemma-2-2B-Instruct-structured-output with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("bastienp/Gemma-2-2B-Instruct-structured-output", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use bastienp/Gemma-2-2B-Instruct-structured-output 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 bastienp/Gemma-2-2B-Instruct-structured-output:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf bastienp/Gemma-2-2B-Instruct-structured-output:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf bastienp/Gemma-2-2B-Instruct-structured-output:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf bastienp/Gemma-2-2B-Instruct-structured-output: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 bastienp/Gemma-2-2B-Instruct-structured-output:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf bastienp/Gemma-2-2B-Instruct-structured-output: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 bastienp/Gemma-2-2B-Instruct-structured-output:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf bastienp/Gemma-2-2B-Instruct-structured-output:Q4_K_M

Use Docker

docker model run hf.co/bastienp/Gemma-2-2B-Instruct-structured-output:Q4_K_M

LM Studio
Jan
Ollama
How to use bastienp/Gemma-2-2B-Instruct-structured-output with Ollama:
```
ollama run hf.co/bastienp/Gemma-2-2B-Instruct-structured-output:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use bastienp/Gemma-2-2B-Instruct-structured-output with Docker Model Runner:
```
docker model run hf.co/bastienp/Gemma-2-2B-Instruct-structured-output:Q4_K_M
```

Lemonade

How to use bastienp/Gemma-2-2B-Instruct-structured-output with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull bastienp/Gemma-2-2B-Instruct-structured-output:Q4_K_M

Run and chat with the model

lemonade run user.Gemma-2-2B-Instruct-structured-output-Q4_K_M

List all available models

lemonade list

Atomic Chat

bastienp commited on Aug 19, 2024

Commit

fa081a7

verified ·

1 Parent(s): f6206c3

(Trained with Unsloth)

Browse files

Files changed (2) hide show

.gitattributes +1 -0
unsloth.Q4_K_M.gguf +3 -0

.gitattributes CHANGED Viewed

@@ -35,3 +35,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 tokenizer.json filter=lfs diff=lfs merge=lfs -text
 unsloth.F16.gguf filter=lfs diff=lfs merge=lfs -text

 *tfevents* filter=lfs diff=lfs merge=lfs -text
 tokenizer.json filter=lfs diff=lfs merge=lfs -text
 unsloth.F16.gguf filter=lfs diff=lfs merge=lfs -text
+unsloth.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text

unsloth.Q4_K_M.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:b3f2514772816db14bacb9fa0c14e8ba793608e6d083b652735ab702fac4707b
+size 1708582400