Instructions to use tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF",
	filename="ChocoLlama-2-7B-instruct-Q2_K.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-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/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF:Q2_K
# Run inference directly in the terminal:
llama-cli -hf tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-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/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF:Q2_K
# Run inference directly in the terminal:
llama-cli -hf tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-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/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF:Q2_K
# Run inference directly in the terminal:
./llama-cli -hf tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-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/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF:Q2_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF:Q2_K

Use Docker

docker model run hf.co/tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF:Q2_K

LM Studio
Jan
Ollama
How to use tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF with Ollama:
```
ollama run hf.co/tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF:Q2_K
```

Unsloth Studio

How to use tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-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/ChocoLlama_ChocoLlama-2-7B-instruct-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/ChocoLlama_ChocoLlama-2-7B-instruct-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/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF to start chatting

Docker Model Runner
How to use tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF with Docker Model Runner:
```
docker model run hf.co/tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF:Q2_K
```

Lemonade

How to use tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF:Q2_K

Run and chat with the model

lemonade run user.ChocoLlama_ChocoLlama-2-7B-instruct-GGUF-Q2_K

List all available models

lemonade list

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:fc71466631d520eb3ccc92e6d708f529684ba46b088a81f493b3384699b8efb6
-size 3597113632

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:ec1ea171258ad75a35b6a80ba8cf7106b4bc9cecba7d2a781e1246a86246bd0b
-size 2948307232

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:9b93ea5c6f8eac5ed8a6ed4b9050415aaca3ae7c6ce2624dcb0d8d8392f9d4bd
-size 3825809696

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:2564188e7d5395baa8fbca7d50b0c2365c1f20c7e4f6cc493d2f33cb80c83084
-size 4081006880

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:00714136e15ae562ac775b9ba7cfd1d3b5f5621b85c79aeaae0ee824d1751fdf
-size 3856742688

tensorblock
/

ChocoLlama_ChocoLlama-2-7B-instruct-GGUF

Keep Q2_K/Q3_K_M gguf only