Instructions to use larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF", dtype="auto")

llama-cpp-python

How to use larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF",
	filename="tinyllama-1.1b-chat-v1.0-q2_k.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF: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 larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF: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 larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF:Q4_K_M

Use Docker

docker model run hf.co/larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF with Ollama:
```
ollama run hf.co/larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF:Q4_K_M
```

Unsloth Studio

How to use larenspear/TinyLlama-1.1B-Chat-v1.0-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 larenspear/TinyLlama-1.1B-Chat-v1.0-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 larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF with Docker Model Runner:
```
docker model run hf.co/larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF:Q4_K_M
```

Lemonade

How to use larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.TinyLlama-1.1B-Chat-v1.0-GGUF-Q4_K_M

List all available models

lemonade list

larenspear commited on Jul 2, 2024

Commit

2a9709e

verified ·

1 Parent(s): 1e6c1af

Create README.md

Browse files

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README.md +32 -0

README.md ADDED Viewed

	@@ -0,0 +1,32 @@

+---
+base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
+language:
+- en
+library_name: transformers
+license: apache-2.0
+quantized_by: larenspear
+---
+## About
+GGUF Quantizations of https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0
+## Provided Quantizations
+| Link | Type |
+|:-----|:-----|
+| [GGUF](https://huggingface.co/larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF/resolve/main/tinyllama-1.1b-chat-v1.0-q2_k.gguf) | Q2_K |
+| [GGUF](https://huggingface.co/larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF/resolve/main/tinyllama-1.1b-chat-v1.0-q3_k_s.gguf) | Q3_K_S |
+| [GGUF](https://huggingface.co/larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF/resolve/main/tinyllama-1.1b-chat-v1.0-q3_k_m.gguf) | Q3_K_M |
+| [GGUF](https://huggingface.co/larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF/resolve/main/tinyllama-1.1b-chat-v1.0-q3_k_l.gguf) | Q3_K_L |
+| [GGUF](https://huggingface.co/larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF/resolve/main/tinyllama-1.1b-chat-v1.0-q4_0.gguf) | Q4_0 |
+| [GGUF](https://huggingface.co/larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF/resolve/main/tinyllama-1.1b-chat-v1.0-q4_k_s.gguf) | Q4_K_S |
+| [GGUF](https://huggingface.co/larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF/resolve/main/tinyllama-1.1b-chat-v1.0-q4_k_m.gguf) | Q4_K_M |
+| [GGUF](https://huggingface.co/larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF/resolve/main/tinyllama-1.1b-chat-v1.0-q5_0.gguf) | Q5_0 |
+| [GGUF](https://huggingface.co/larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF/resolve/main/tinyllama-1.1b-chat-v1.0-q5_k_s.gguf) | Q5_K_S |
+| [GGUF](https://huggingface.co/larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF/resolve/main/tinyllama-1.1b-chat-v1.0-q5_k_m.gguf) | Q5_K_M |
+| [GGUF](https://huggingface.co/larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF/resolve/main/tinyllama-1.1b-chat-v1.0-q6_k.gguf) | Q6_K |
+| [GGUF](https://huggingface.co/larenspear/TinyLlama-1.1B-Chat-v1.0-GGUF/resolve/main/tinyllama-1.1b-chat-v1.0-q8_0.gguf) | Q8_0 |
+In a circular citation, I borrowed the format of this file from https://huggingface.co/mradermacher/copy_of_wildjailbreak_13-GGUF.
+<!-- end -->