Instructions to use tensorblock/gpt2-implicit-cot-multiplication-20-digits-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tensorblock/gpt2-implicit-cot-multiplication-20-digits-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("tensorblock/gpt2-implicit-cot-multiplication-20-digits-GGUF", dtype="auto")

llama-cpp-python

How to use tensorblock/gpt2-implicit-cot-multiplication-20-digits-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="tensorblock/gpt2-implicit-cot-multiplication-20-digits-GGUF",
	filename="gpt2-implicit-cot-multiplication-20-digits-Q2_K.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 tensorblock/gpt2-implicit-cot-multiplication-20-digits-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/gpt2-implicit-cot-multiplication-20-digits-GGUF:Q2_K
# Run inference directly in the terminal:
llama-cli -hf tensorblock/gpt2-implicit-cot-multiplication-20-digits-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/gpt2-implicit-cot-multiplication-20-digits-GGUF:Q2_K
# Run inference directly in the terminal:
llama-cli -hf tensorblock/gpt2-implicit-cot-multiplication-20-digits-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/gpt2-implicit-cot-multiplication-20-digits-GGUF:Q2_K
# Run inference directly in the terminal:
./llama-cli -hf tensorblock/gpt2-implicit-cot-multiplication-20-digits-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/gpt2-implicit-cot-multiplication-20-digits-GGUF:Q2_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf tensorblock/gpt2-implicit-cot-multiplication-20-digits-GGUF:Q2_K

Use Docker

docker model run hf.co/tensorblock/gpt2-implicit-cot-multiplication-20-digits-GGUF:Q2_K

LM Studio
Jan
Ollama
How to use tensorblock/gpt2-implicit-cot-multiplication-20-digits-GGUF with Ollama:
```
ollama run hf.co/tensorblock/gpt2-implicit-cot-multiplication-20-digits-GGUF:Q2_K
```

Unsloth Studio

How to use tensorblock/gpt2-implicit-cot-multiplication-20-digits-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/gpt2-implicit-cot-multiplication-20-digits-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/gpt2-implicit-cot-multiplication-20-digits-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/gpt2-implicit-cot-multiplication-20-digits-GGUF to start chatting

Docker Model Runner
How to use tensorblock/gpt2-implicit-cot-multiplication-20-digits-GGUF with Docker Model Runner:
```
docker model run hf.co/tensorblock/gpt2-implicit-cot-multiplication-20-digits-GGUF:Q2_K
```

Lemonade

How to use tensorblock/gpt2-implicit-cot-multiplication-20-digits-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull tensorblock/gpt2-implicit-cot-multiplication-20-digits-GGUF:Q2_K

Run and chat with the model

lemonade run user.gpt2-implicit-cot-multiplication-20-digits-GGUF-Q2_K

List all available models

lemonade list

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:71473d5fb011f8b1388d5d9fb378ac2b23ea69407d8f8d69ba4726873e24c20a
-size 102092352

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:69423feffcafd4570843c216b7aba07881296896e971147568087b4beaf73665
-size 97668672

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:e5831ce0eab84577bd1e16479c795a39e715b6387f917f4c7597c7fa215fc4c4
-size 90148416

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:c83aa555c7ab82f2a980fee1c582b5b7ec5a7d13472b3880423707ebaefa1be4
-size 106555008

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:278ed79b82cb289b337ed7e31d3be818736a76105c3a6485bb5b354882b5ba1a
-size 112858752

tensorblock
/

gpt2-implicit-cot-multiplication-20-digits-GGUF

Remove .gguf files (keep Q2_K.gguf)