Instructions to use DevQuasar/llama3_8b_chat_brainstorm_plus-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use DevQuasar/llama3_8b_chat_brainstorm_plus-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf DevQuasar/llama3_8b_chat_brainstorm_plus-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf DevQuasar/llama3_8b_chat_brainstorm_plus-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf DevQuasar/llama3_8b_chat_brainstorm_plus-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf DevQuasar/llama3_8b_chat_brainstorm_plus-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 DevQuasar/llama3_8b_chat_brainstorm_plus-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf DevQuasar/llama3_8b_chat_brainstorm_plus-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 DevQuasar/llama3_8b_chat_brainstorm_plus-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf DevQuasar/llama3_8b_chat_brainstorm_plus-GGUF:Q4_K_M

Use Docker

docker model run hf.co/DevQuasar/llama3_8b_chat_brainstorm_plus-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use DevQuasar/llama3_8b_chat_brainstorm_plus-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "DevQuasar/llama3_8b_chat_brainstorm_plus-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "DevQuasar/llama3_8b_chat_brainstorm_plus-GGUF",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/DevQuasar/llama3_8b_chat_brainstorm_plus-GGUF:Q4_K_M

Ollama
How to use DevQuasar/llama3_8b_chat_brainstorm_plus-GGUF with Ollama:
```
ollama run hf.co/DevQuasar/llama3_8b_chat_brainstorm_plus-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use DevQuasar/llama3_8b_chat_brainstorm_plus-GGUF with Docker Model Runner:
```
docker model run hf.co/DevQuasar/llama3_8b_chat_brainstorm_plus-GGUF:Q4_K_M
```

Lemonade

How to use DevQuasar/llama3_8b_chat_brainstorm_plus-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull DevQuasar/llama3_8b_chat_brainstorm_plus-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.llama3_8b_chat_brainstorm_plus-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

csabakecskemeti commited on Dec 4, 2024

Commit

dd246b8

verified ·

1 Parent(s): 3f15cc9

Update README.md

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README.md CHANGED Viewed

@@ -19,4 +19,11 @@ Brainstorm facilitates idea exploration through interaction with a Language Mode
 With https://lmstudio.ai/ use the `brainstorm.preset.json` preset
 ### llama.cpp
-`./main -m llama3_8b_chat_brainstorm_plus.Q2_K.gguf -p "### HUMAN: I'd like to build an online marketplace\n ### ASSISTANT:" -n 400 -e -ins -r "### HUMAN:\n" -r "### ASSISTANT: "`

 With https://lmstudio.ai/ use the `brainstorm.preset.json` preset
 ### llama.cpp
+`./main -m llama3_8b_chat_brainstorm_plus.Q2_K.gguf -p "### HUMAN: I'd like to build an online marketplace\n ### ASSISTANT:" -n 400 -e -ins -r "### HUMAN:\n" -r "### ASSISTANT: "`
+I'm doing this to 'Make knowledge free for everyone', using my personal time and resources.
+If you want to support my efforts please visit my ko-fi page: https://ko-fi.com/devquasar
+Also feel free to visit my website https://devquasar.com/