Instructions to use tensorblock/GabrielMM_Math_SFT_v4_4ksteps-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tensorblock/GabrielMM_Math_SFT_v4_4ksteps-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("tensorblock/GabrielMM_Math_SFT_v4_4ksteps-GGUF", dtype="auto")

llama-cpp-python

How to use tensorblock/GabrielMM_Math_SFT_v4_4ksteps-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="tensorblock/GabrielMM_Math_SFT_v4_4ksteps-GGUF",
	filename="Math_SFT_v4_4ksteps-Q2_K.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use tensorblock/GabrielMM_Math_SFT_v4_4ksteps-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf tensorblock/GabrielMM_Math_SFT_v4_4ksteps-GGUF:Q2_K
# Run inference directly in the terminal:
llama-cli -hf tensorblock/GabrielMM_Math_SFT_v4_4ksteps-GGUF:Q2_K

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf tensorblock/GabrielMM_Math_SFT_v4_4ksteps-GGUF:Q2_K
# Run inference directly in the terminal:
llama-cli -hf tensorblock/GabrielMM_Math_SFT_v4_4ksteps-GGUF:Q2_K

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 tensorblock/GabrielMM_Math_SFT_v4_4ksteps-GGUF:Q2_K
# Run inference directly in the terminal:
./llama-cli -hf tensorblock/GabrielMM_Math_SFT_v4_4ksteps-GGUF:Q2_K

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 tensorblock/GabrielMM_Math_SFT_v4_4ksteps-GGUF:Q2_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf tensorblock/GabrielMM_Math_SFT_v4_4ksteps-GGUF:Q2_K

Use Docker

docker model run hf.co/tensorblock/GabrielMM_Math_SFT_v4_4ksteps-GGUF:Q2_K

LM Studio
Jan
Ollama
How to use tensorblock/GabrielMM_Math_SFT_v4_4ksteps-GGUF with Ollama:
```
ollama run hf.co/tensorblock/GabrielMM_Math_SFT_v4_4ksteps-GGUF:Q2_K
```

Unsloth Studio

How to use tensorblock/GabrielMM_Math_SFT_v4_4ksteps-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 tensorblock/GabrielMM_Math_SFT_v4_4ksteps-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 tensorblock/GabrielMM_Math_SFT_v4_4ksteps-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for tensorblock/GabrielMM_Math_SFT_v4_4ksteps-GGUF to start chatting

Docker Model Runner
How to use tensorblock/GabrielMM_Math_SFT_v4_4ksteps-GGUF with Docker Model Runner:
```
docker model run hf.co/tensorblock/GabrielMM_Math_SFT_v4_4ksteps-GGUF:Q2_K
```

Lemonade

How to use tensorblock/GabrielMM_Math_SFT_v4_4ksteps-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull tensorblock/GabrielMM_Math_SFT_v4_4ksteps-GGUF:Q2_K

Run and chat with the model

lemonade run user.GabrielMM_Math_SFT_v4_4ksteps-GGUF-Q2_K

List all available models

lemonade list

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:0707d21d843a1004e0578c18e49f36c9aec4730a22ed50a804bcbe571cf42b91
-size 369354944

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:0ed4aab104dc5cbbb11d487482b05313da799aaf490d39ad7f98132dbc00cd73
-size 338260160

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:544fc3b8e776ee7057c50a78f85ea2284e09e4381709e06cf33c347b1a93386c
-size 352151744

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1290c91e0fa262020fa755599132c15822ff258fa4feceac619924154daeabf1
-size 397804736

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:bc3f748acd32adf48677c24e35bebbeda4e5cb735ba0a702c34c3b75ce5732e3
-size 385468608

tensorblock
/

GabrielMM_Math_SFT_v4_4ksteps-GGUF

Keep Q2_K/Q3_K_M gguf only