Instructions to use lmstudio-community/INTELLECT-1-Instruct-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use lmstudio-community/INTELLECT-1-Instruct-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="lmstudio-community/INTELLECT-1-Instruct-GGUF",
	filename="INTELLECT-1-Instruct-Q3_K_L.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use lmstudio-community/INTELLECT-1-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 lmstudio-community/INTELLECT-1-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf lmstudio-community/INTELLECT-1-Instruct-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 lmstudio-community/INTELLECT-1-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf lmstudio-community/INTELLECT-1-Instruct-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 lmstudio-community/INTELLECT-1-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf lmstudio-community/INTELLECT-1-Instruct-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 lmstudio-community/INTELLECT-1-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf lmstudio-community/INTELLECT-1-Instruct-GGUF:Q4_K_M

Use Docker

docker model run hf.co/lmstudio-community/INTELLECT-1-Instruct-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use lmstudio-community/INTELLECT-1-Instruct-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "lmstudio-community/INTELLECT-1-Instruct-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "lmstudio-community/INTELLECT-1-Instruct-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/lmstudio-community/INTELLECT-1-Instruct-GGUF:Q4_K_M

Ollama
How to use lmstudio-community/INTELLECT-1-Instruct-GGUF with Ollama:
```
ollama run hf.co/lmstudio-community/INTELLECT-1-Instruct-GGUF:Q4_K_M
```

Unsloth Studio new

How to use lmstudio-community/INTELLECT-1-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 lmstudio-community/INTELLECT-1-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 lmstudio-community/INTELLECT-1-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 lmstudio-community/INTELLECT-1-Instruct-GGUF to start chatting

Docker Model Runner
How to use lmstudio-community/INTELLECT-1-Instruct-GGUF with Docker Model Runner:
```
docker model run hf.co/lmstudio-community/INTELLECT-1-Instruct-GGUF:Q4_K_M
```

Lemonade

How to use lmstudio-community/INTELLECT-1-Instruct-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull lmstudio-community/INTELLECT-1-Instruct-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.INTELLECT-1-Instruct-GGUF-Q4_K_M

List all available models

lemonade list

bartowski commited on Nov 29, 2024

Commit

9406858

verified ·

1 Parent(s): b7f372a

Update metadata with huggingface_hub

Browse files

Files changed (1) hide show

README.md +24 -0

README.md CHANGED Viewed

@@ -1,6 +1,30 @@
 ---
 quantized_by: bartowski
 pipeline_tag: text-generation
 ---
 ## 💫 Community Model> INTELLECT 1 Instruct by Primeintellect

 ---
 quantized_by: bartowski
 pipeline_tag: text-generation
+datasets:
+- PrimeIntellect/fineweb-edu
+- PrimeIntellect/fineweb
+- PrimeIntellect/StackV1-popular
+- mlfoundations/dclm-baseline-1.0-parquet
+- open-web-math/open-web-math
+- arcee-ai/EvolKit-75K
+- arcee-ai/Llama-405B-Logits
+- arcee-ai/The-Tomb
+- mlabonne/open-perfectblend-fixed
+- microsoft/orca-agentinstruct-1M-v1-cleaned
+- Post-training-Data-Flywheel/AutoIF-instruct-61k-with-funcs
+- Team-ACE/ToolACE
+- Synthia-coder
+- ServiceNow-AI/M2Lingual
+- AI-MO/NuminaMath-TIR
+- allenai/tulu-3-sft-personas-code
+- allenai/tulu-3-sft-personas-math
+- allenai/tulu-3-sft-personas-math-grade
+- allenai/tulu-3-sft-personas-algebra
+base_model: PrimeIntellect/INTELLECT-1-Instruct
+language:
+- en
+license: apache-2.0
 ---
 ## 💫 Community Model> INTELLECT 1 Instruct by Primeintellect