Instructions to use SicariusSicariiStuff/Zion_Alpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use SicariusSicariiStuff/Zion_Alpha with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="SicariusSicariiStuff/Zion_Alpha")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("SicariusSicariiStuff/Zion_Alpha")
model = AutoModelForCausalLM.from_pretrained("SicariusSicariiStuff/Zion_Alpha")

llama-cpp-python

How to use SicariusSicariiStuff/Zion_Alpha with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="SicariusSicariiStuff/Zion_Alpha",
	filename="Zion_Alpha-Q3_K_M.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use SicariusSicariiStuff/Zion_Alpha 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 SicariusSicariiStuff/Zion_Alpha:Q3_K_M
# Run inference directly in the terminal:
llama cli -hf SicariusSicariiStuff/Zion_Alpha:Q3_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf SicariusSicariiStuff/Zion_Alpha:Q3_K_M
# Run inference directly in the terminal:
llama cli -hf SicariusSicariiStuff/Zion_Alpha:Q3_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 SicariusSicariiStuff/Zion_Alpha:Q3_K_M
# Run inference directly in the terminal:
./llama-cli -hf SicariusSicariiStuff/Zion_Alpha:Q3_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 SicariusSicariiStuff/Zion_Alpha:Q3_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf SicariusSicariiStuff/Zion_Alpha:Q3_K_M

Use Docker

docker model run hf.co/SicariusSicariiStuff/Zion_Alpha:Q3_K_M

LM Studio
Jan

vLLM

How to use SicariusSicariiStuff/Zion_Alpha with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/SicariusSicariiStuff/Zion_Alpha:Q3_K_M

SGLang

How to use SicariusSicariiStuff/Zion_Alpha with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "SicariusSicariiStuff/Zion_Alpha" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SicariusSicariiStuff/Zion_Alpha",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "SicariusSicariiStuff/Zion_Alpha" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SicariusSicariiStuff/Zion_Alpha",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Ollama
How to use SicariusSicariiStuff/Zion_Alpha with Ollama:
```
ollama run hf.co/SicariusSicariiStuff/Zion_Alpha:Q3_K_M
```

Unsloth Studio

How to use SicariusSicariiStuff/Zion_Alpha 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 SicariusSicariiStuff/Zion_Alpha 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 SicariusSicariiStuff/Zion_Alpha to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for SicariusSicariiStuff/Zion_Alpha to start chatting

Atomic Chat new
Docker Model Runner
How to use SicariusSicariiStuff/Zion_Alpha with Docker Model Runner:
```
docker model run hf.co/SicariusSicariiStuff/Zion_Alpha:Q3_K_M
```

Lemonade

How to use SicariusSicariiStuff/Zion_Alpha with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull SicariusSicariiStuff/Zion_Alpha:Q3_K_M

Run and chat with the model

lemonade run user.Zion_Alpha-Q3_K_M

List all available models

lemonade list

Adding Evaluation Results

by leaderboard-pr-bot - opened Oct 20, 2024

base: refs/heads/main

←

from: refs/pr/2

Discussion Files changed

+109

-0

Files changed (1) hide show

README.md +109 -0

README.md CHANGED Viewed

@@ -2,6 +2,101 @@
 language:
 - en
 license: apache-2.0
 ---
 <div align="center">
@@ -120,3 +215,17 @@ As of 04 June 2024, Zion_Alpha got the **Highest SNLI score in the world** among
 - [My Ko-fi page](https://ko-fi.com/sicarius) ALL donations will go for research resources and compute, every bit counts 🙏🏻
 - [My Patreon](https://patreon.com/TenebraAI) ALL donations will go for research resources and compute, every bit counts 🙏🏻

 language:
 - en
 license: apache-2.0
+model-index:
+- name: Zion_Alpha
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 33.24
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=SicariusSicariiStuff/Zion_Alpha
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 29.16
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=SicariusSicariiStuff/Zion_Alpha
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 4.76
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=SicariusSicariiStuff/Zion_Alpha
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 5.37
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=SicariusSicariiStuff/Zion_Alpha
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 18.45
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=SicariusSicariiStuff/Zion_Alpha
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 23.68
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=SicariusSicariiStuff/Zion_Alpha
+      name: Open LLM Leaderboard
 ---
 <div align="center">
 - [My Ko-fi page](https://ko-fi.com/sicarius) ALL donations will go for research resources and compute, every bit counts 🙏🏻
 - [My Patreon](https://patreon.com/TenebraAI) ALL donations will go for research resources and compute, every bit counts 🙏🏻
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_SicariusSicariiStuff__Zion_Alpha)
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |19.11|
+|IFEval (0-Shot)    |33.24|
+|BBH (3-Shot)       |29.16|
+|MATH Lvl 5 (4-Shot)| 4.76|
+|GPQA (0-shot)      | 5.37|
+|MuSR (0-shot)      |18.45|
+|MMLU-PRO (5-shot)  |23.68|