Instructions to use Manan17/my-model-potty with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Manan17/my-model-potty with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Manan17/my-model-potty",
	filename="mistral-7b.Q4_K_M.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use Manan17/my-model-potty with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Manan17/my-model-potty:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Manan17/my-model-potty:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Manan17/my-model-potty:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Manan17/my-model-potty: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 Manan17/my-model-potty:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Manan17/my-model-potty: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 Manan17/my-model-potty:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Manan17/my-model-potty:Q4_K_M

Use Docker

docker model run hf.co/Manan17/my-model-potty:Q4_K_M

LM Studio
Jan
Ollama
How to use Manan17/my-model-potty with Ollama:
```
ollama run hf.co/Manan17/my-model-potty:Q4_K_M
```

Unsloth Studio new

How to use Manan17/my-model-potty 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 Manan17/my-model-potty 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 Manan17/my-model-potty to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Manan17/my-model-potty to start chatting

Docker Model Runner
How to use Manan17/my-model-potty with Docker Model Runner:
```
docker model run hf.co/Manan17/my-model-potty:Q4_K_M
```

Lemonade

How to use Manan17/my-model-potty with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Manan17/my-model-potty:Q4_K_M

Run and chat with the model

lemonade run user.my-model-potty-Q4_K_M

List all available models

lemonade list

Manan17 commited on Feb 16

Commit

94ab93b

verified ·

1 Parent(s): 2624566

Upload folder using huggingface_hub

Browse files

Files changed (2) hide show

.gitattributes +1 -0
mistral-7b.Q4_K_M.gguf +3 -0

.gitattributes CHANGED Viewed

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+mistral-7b.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text

mistral-7b.Q4_K_M.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:fb78b372f7119691f50353dce7be00b628e6197a83e8e3db9cd3fbd73a2df915
+size 4368439552