Instructions to use bcse/BigLiz-120b-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 bcse/BigLiz-120b-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 bcse/BigLiz-120b-GGUF:Q2_K
# Run inference directly in the terminal:
llama cli -hf bcse/BigLiz-120b-GGUF:Q2_K

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf bcse/BigLiz-120b-GGUF:Q2_K
# Run inference directly in the terminal:
llama cli -hf bcse/BigLiz-120b-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 bcse/BigLiz-120b-GGUF:Q2_K
# Run inference directly in the terminal:
./llama-cli -hf bcse/BigLiz-120b-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 bcse/BigLiz-120b-GGUF:Q2_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf bcse/BigLiz-120b-GGUF:Q2_K

Use Docker

docker model run hf.co/bcse/BigLiz-120b-GGUF:Q2_K

LM Studio
Jan

vLLM

How to use bcse/BigLiz-120b-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "bcse/BigLiz-120b-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": "bcse/BigLiz-120b-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/bcse/BigLiz-120b-GGUF:Q2_K

Ollama
How to use bcse/BigLiz-120b-GGUF with Ollama:
```
ollama run hf.co/bcse/BigLiz-120b-GGUF:Q2_K
```
Unsloth Desktop
Docker Model Runner
How to use bcse/BigLiz-120b-GGUF with Docker Model Runner:
```
docker model run hf.co/bcse/BigLiz-120b-GGUF:Q2_K
```

Lemonade

How to use bcse/BigLiz-120b-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull bcse/BigLiz-120b-GGUF:Q2_K

Run and chat with the model

lemonade run user.BigLiz-120b-GGUF-Q2_K

List all available models

lemonade list

Atomic Chat

bcse commited on Jan 23, 2024

Commit

02807c3

1 Parent(s): ac82a07

GGUF model commit (made with llama.cpp commit 2bed4aa3)

Browse files

Files changed (4) hide show

.gitattributes +2 -0
README.md +10 -0
bigliz-120b.Q3_K_S.gguf-split-a +3 -0
bigliz-120b.Q3_K_S.gguf-split-b +3 -0

.gitattributes CHANGED Viewed

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+bigliz-120b.Q3_K_S.gguf-split-a filter=lfs diff=lfs merge=lfs -text
+bigliz-120b.Q3_K_S.gguf-split-b filter=lfs diff=lfs merge=lfs -text

README.md CHANGED Viewed

@@ -1,3 +1,13 @@
 ---
 license: llama2
 ---

 ---
 license: llama2
+language:
+- en
+pipeline_tag: conversational
+tags:
+- lzlv
+- WinterGoddess
+- frankenmerge
+- 120b
 ---
+# BigLiz 120B - GGUF
+- Original model: [BigLiz 120B](https://huggingface.co/llmixer/BigLiz-120b)

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