Instructions to use solidrust/Tess-7B-v2.0-AWQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use solidrust/Tess-7B-v2.0-AWQ with Transformers:

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

pipe = pipeline("text-generation", model="solidrust/Tess-7B-v2.0-AWQ")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("solidrust/Tess-7B-v2.0-AWQ")
model = AutoModelForCausalLM.from_pretrained("solidrust/Tess-7B-v2.0-AWQ", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use solidrust/Tess-7B-v2.0-AWQ with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "solidrust/Tess-7B-v2.0-AWQ"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "solidrust/Tess-7B-v2.0-AWQ",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/solidrust/Tess-7B-v2.0-AWQ

SGLang

How to use solidrust/Tess-7B-v2.0-AWQ 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 "solidrust/Tess-7B-v2.0-AWQ" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "solidrust/Tess-7B-v2.0-AWQ",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "solidrust/Tess-7B-v2.0-AWQ" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "solidrust/Tess-7B-v2.0-AWQ",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use solidrust/Tess-7B-v2.0-AWQ with Docker Model Runner:
```
docker model run hf.co/solidrust/Tess-7B-v2.0-AWQ
```

Tess-7B-v2.0-AWQ

Commit History

Added base_model tag in README.md

e7be27f
verified

Suparious commited on Sep 3, 2024

Update to use the ehartford dolphin ChatML format.

35cdbdb
verified

Suparious commited on Mar 27, 2024

Update README.md

aee3bc2
verified

Suparious commited on Mar 26, 2024

adding awq model

25efa98

Shaun Prince commited on Mar 26, 2024

replace bunk cite with Authour's limitations and biases

5afb986
verified

Suparious commited on Mar 26, 2024

Add Avatar and usage example

465bc08
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Suparious commited on Mar 26, 2024

adding quant config

38636a1

Shaun Prince commited on Mar 25, 2024

Update model tags

d628e8e
verified

Suparious commited on Mar 25, 2024

Update README.md

77188c3
verified

Suparious commited on Mar 25, 2024

initial commit

aa62e78
verified

Suparious commited on Mar 25, 2024

Commit History

Added base_model tag in README.md e7be27f verified

Update to use the ehartford dolphin ChatML format. 35cdbdb verified

Update README.md aee3bc2 verified

adding awq model 25efa98

replace bunk cite with Authour's limitations and biases 5afb986 verified

Add Avatar and usage example 465bc08 verified

adding quant config 38636a1

Update model tags d628e8e verified

Update README.md 77188c3 verified

initial commit aa62e78 verified

Added base_model tag in README.md

e7be27f
verified

Update to use the ehartford dolphin ChatML format.

35cdbdb
verified

Update README.md

aee3bc2
verified

adding awq model

25efa98

replace bunk cite with Authour's limitations and biases

5afb986
verified

Add Avatar and usage example

465bc08
verified

adding quant config

38636a1

Update model tags

d628e8e
verified

Update README.md

77188c3
verified

initial commit

aa62e78
verified