Instructions to use TheBloke/dolphin-2.6-mistral-7B-GPTQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TheBloke/dolphin-2.6-mistral-7B-GPTQ with Transformers:

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

pipe = pipeline("text-generation", model="TheBloke/dolphin-2.6-mistral-7B-GPTQ")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("TheBloke/dolphin-2.6-mistral-7B-GPTQ")
model = AutoModelForCausalLM.from_pretrained("TheBloke/dolphin-2.6-mistral-7B-GPTQ", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use TheBloke/dolphin-2.6-mistral-7B-GPTQ with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TheBloke/dolphin-2.6-mistral-7B-GPTQ"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TheBloke/dolphin-2.6-mistral-7B-GPTQ",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/TheBloke/dolphin-2.6-mistral-7B-GPTQ

SGLang

How to use TheBloke/dolphin-2.6-mistral-7B-GPTQ 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 "TheBloke/dolphin-2.6-mistral-7B-GPTQ" \
    --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": "TheBloke/dolphin-2.6-mistral-7B-GPTQ",
		"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 "TheBloke/dolphin-2.6-mistral-7B-GPTQ" \
        --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": "TheBloke/dolphin-2.6-mistral-7B-GPTQ",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use TheBloke/dolphin-2.6-mistral-7B-GPTQ with Docker Model Runner:
```
docker model run hf.co/TheBloke/dolphin-2.6-mistral-7B-GPTQ
```

I am having issue loading dolphin 2.6 mistral 7B GPTQ:main by TheBloke . Pasting the error in the description pls help

by KingSlayer49 - opened Dec 28, 2023

Discussion

KingSlayer49

Dec 28, 2023

Traceback (most recent call last):
File "C:\Other_stuffs\AI\TextgenwebUI\text-generation-webui\modules\ui_model_menu.py", line 214, in load_model_wrapper
shared.model, shared.tokenizer = load_model(selected_model, loader)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Other_stuffs\AI\TextgenwebUI\text-generation-webui\modules\models.py", line 79, in load_model
metadata = get_model_metadata(model_name)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Other_stuffs\AI\TextgenwebUI\text-generation-webui\modules\models_settings.py", line 115, in get_model_metadata
metadata = json.loads(open(path, 'r').read())
^^^^^^^^^^^^^^^^^^^^^^
File "C:\Other_stuffs\AI\TextgenwebUI\text-generation-webui\installer_files\env\Lib\encodings\cp1252.py", line 23, in decode
return codecs.charmap_decode(input,self.errors,decoding_table)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
UnicodeDecodeError: 'charmap' codec can't decode byte 0x9d in position 2149: character maps to

LittenBuzz

Dec 28, 2023

Exactly my case. I get the same error

KingSlayer49

Dec 29, 2023

Hey Bloke can you help us please

Yuuru

Dec 30, 2023

Same error

KingSlayer49 changed discussion status to closed Jan 25, 2024

KingSlayer49 changed discussion status to open Jan 25, 2024

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