Instructions to use mr-exception/entity-g0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mr-exception/entity-g0 with Transformers:

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

pipe = pipeline("text-generation", model="mr-exception/entity-g0")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("mr-exception/entity-g0")
model = AutoModelForCausalLM.from_pretrained("mr-exception/entity-g0", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mr-exception/entity-g0 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 mr-exception/entity-g0
# Run inference directly in the terminal:
llama cli -hf mr-exception/entity-g0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf mr-exception/entity-g0
# Run inference directly in the terminal:
llama cli -hf mr-exception/entity-g0

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 mr-exception/entity-g0
# Run inference directly in the terminal:
./llama-cli -hf mr-exception/entity-g0

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 mr-exception/entity-g0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mr-exception/entity-g0

Use Docker

docker model run hf.co/mr-exception/entity-g0

LM Studio
Jan

vLLM

How to use mr-exception/entity-g0 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "mr-exception/entity-g0"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "mr-exception/entity-g0",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/mr-exception/entity-g0

SGLang

How to use mr-exception/entity-g0 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 "mr-exception/entity-g0" \
    --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": "mr-exception/entity-g0",
		"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 "mr-exception/entity-g0" \
        --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": "mr-exception/entity-g0",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Ollama
How to use mr-exception/entity-g0 with Ollama:
```
ollama run hf.co/mr-exception/entity-g0
```
Unsloth Desktop
Docker Model Runner
How to use mr-exception/entity-g0 with Docker Model Runner:
```
docker model run hf.co/mr-exception/entity-g0
```

Lemonade

How to use mr-exception/entity-g0 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mr-exception/entity-g0

Run and chat with the model

lemonade run user.entity-g0-{{QUANT_TAG}}

List all available models

lemonade list

Atomic Chat

mr-exception commited on Apr 4, 2024

Commit

fce47d4

verified ·

1 Parent(s): 0785ef3

Upload tokenizer

Browse files

Files changed (3) hide show

special_tokens_map.json +0 -4
tokenizer.json +2 -2
tokenizer_config.json +0 -21

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@@ -1,8 +1,4 @@
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     "lstrip": false,

 {
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tokenizer_config.json CHANGED Viewed

@@ -33,30 +33,9 @@
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-  "additional_special_tokens": [
-    "<start_of_turn>",
-    "<end_of_turn>"
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   "bos_token": "<bos>",
-  "chat_template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '\n' + message['content'] | trim + '<end_of_turn>\n' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model\n'}}{% endif %}",
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